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University of Manitoba
1.
Serhal, Jonathan.
Vehicle electrification using an electric auxiliary plug-in drive device.
Degree: Mechanical and Manufacturing Engineering, 2014, University of Manitoba
URL: http://hdl.handle.net/1993/23320 
► The majority of vehicles over the near term will rely on petroleum, with electric vehicles poised to take over a significant market share of new…
(more)
▼ The majority of vehicles over the near term will rely on petroleum, with
electric vehicles poised to take over a significant market share of new light duty vehicles in the near future. The proposed Auxiliary Drive Device (ADD) instantly provides hybridization and electrification of an existing fossil fuel
vehicle. The purpose is to contribute torque to increase fuel economy and to compensate for the load born by a towing
vehicle to reduce the engine size. The ADD is simulated, built and tested for the first time in a towing
vehicle configuration. A sensor integrated mechanism is used to measure the force of the trailer load onto the towing
vehicle. A test bench platform verifies controls on a push plate in a force sensor feedback control loop configuration. In addition, a scaled prototype provides experimental data to verify mathematical models developed for the ADD. It is found that this new concept provides performance gains and fuel economy savings in a towing configuration.
Advisors/Committee Members: Bibeau, Eric (Mechanical Engineering) (supervisor), Kuhn, David (Mechanical Engineering) Rajapakse, Athula (Electrical Engineering) (examiningcommittee).
Subjects/Keywords: electric; vehicle; conversion; hybrid
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APA (6th Edition):
Serhal, J. (2014). Vehicle electrification using an electric auxiliary plug-in drive device. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/23320
Chicago Manual of Style (16th Edition):
Serhal, Jonathan. “Vehicle electrification using an electric auxiliary plug-in drive device.” 2014. Masters Thesis, University of Manitoba. Accessed March 07, 2021.
http://hdl.handle.net/1993/23320.
MLA Handbook (7th Edition):
Serhal, Jonathan. “Vehicle electrification using an electric auxiliary plug-in drive device.” 2014. Web. 07 Mar 2021.
Vancouver:
Serhal J. Vehicle electrification using an electric auxiliary plug-in drive device. [Internet] [Masters thesis]. University of Manitoba; 2014. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/1993/23320.
Council of Science Editors:
Serhal J. Vehicle electrification using an electric auxiliary plug-in drive device. [Masters Thesis]. University of Manitoba; 2014. Available from: http://hdl.handle.net/1993/23320
2.
Araújo, Filipe Alexandre Simões de.
Conversão de veículos diesel para tração elétrica.
Degree: 2013, Repositório Científico do Instituto Politécnico de Lisboa
URL: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/3902
► Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecânica
Tem-se assistido nos últimos tempos a um aumento do preço do crude…
(more)
▼ Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecânica
Tem-se assistido nos últimos tempos a um aumento do preço do crude e este facto tem levado a um decréscimo acentuado na procura de veículos movidos a combustível fóssil, como se verificou nos últimos anos no nosso país. Impõe-se deste modo, uma procura de alternativas à dependência crónica do crude por parte do setor dos transportes e do parque automóvel em geral.
O presente trabalho debruçou-se sobre o estudo económico-financeiro da conversão de veículos diesel em elétricos da frota da Base Aérea n.º6, no Montijo, sem comprometimento da sua atividade diária. Após conhecida a tipologia dos veículos passíveis de conversão para tração elétrica, o estudo centrou-se na existência de vantagens nessa conversão ao nível económico, comparando o investimento desta com os custos associados à manutenção com motorização diesel. Para o efeito recolheram-se os dados relativos a estes veículos, tais como os custos de aquisição, sustentação e percursos efetuados durante o período de janeiro a dezembro de 2012, dados esses que permitiram concluir sobre as vantagens económicas da referida conversão.
In the last few years, we have witnessed in Portugal to a growth in the price of crude and this led to a decline in the demand for vehicles powered by fossil fuel. It is urgent to search new alternatives for the transport sector as there is a chronic reliance for petroleum and its derivatives.
This work focused on the economic and financial study of the conversion of diesel vehicles of Air Base nº6 in Montijo into electric vehicles, considering that all the daily activities performed by them were not compromised. After knowing the type of vehicle that can be converted to electric traction, the study will be to determine whether this is an advantageous process considering the initial investments and maintenance costs of both vehicles. To this purpose it was collected innumerous information, such as initial costs, maintenance expenses and their routes from January to December 2012, which will confirm whether it is economically advantageous to convert them.
Advisors/Committee Members: Costa, Jorge Mendonça e, Sobral, José.
Subjects/Keywords: Veículo elétrico; Veículo elétrico híbrido; Electric vehicle; Hybrid electric vehicle; Plug-In electric vehicle
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APA (6th Edition):
Araújo, F. A. S. d. (2013). Conversão de veículos diesel para tração elétrica. (Thesis). Repositório Científico do Instituto Politécnico de Lisboa. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/3902
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Araújo, Filipe Alexandre Simões de. “Conversão de veículos diesel para tração elétrica.” 2013. Thesis, Repositório Científico do Instituto Politécnico de Lisboa. Accessed March 07, 2021.
http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/3902.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Araújo, Filipe Alexandre Simões de. “Conversão de veículos diesel para tração elétrica.” 2013. Web. 07 Mar 2021.
Vancouver:
Araújo FASd. Conversão de veículos diesel para tração elétrica. [Internet] [Thesis]. Repositório Científico do Instituto Politécnico de Lisboa; 2013. [cited 2021 Mar 07].
Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/3902.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Araújo FASd. Conversão de veículos diesel para tração elétrica. [Thesis]. Repositório Científico do Instituto Politécnico de Lisboa; 2013. Available from: http://www.rcaap.pt/detail.jsp?id=oai:repositorio.ipl.pt:10400.21/3902
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Ontario Institute of Technology
3.
Hamut, Halil S.
Exergy and exergoeconomic analyses and optimization of thermal management systems in electric and hybrid electric vehicles.
Degree: 2012, University of Ontario Institute of Technology
URL: http://hdl.handle.net/10155/888
► With the recent improvements in battery technologies, in terms of energy density, cost and size, the electric (EV) and hybrid electric vehicle (HEV) technologies have…
(more)
▼ With the recent improvements in battery technologies, in terms of energy density, cost and size,
the
electric (EV) and
hybrid electric vehicle (HEV) technologies have shown that they can
compete with conventional vehicles in many areas. Although EVs and HEVs offer potential
solutions for many key issues related to conventional vehicles, they still face considerable
challenges that prevent the widespread commercialization of these technologies, such as thermal
management of batteries and electrification.
In this PhD thesis, a liquid thermal management system (TMS) for
hybrid electric vehicles is
investigated and evaluated against alternative thermal management systems, and optimal
parameters are selected to maximize the system efficiency. In order to achieve this goal, a model
of the liquid thermal management system is established to determine the irreversibilities and
second-law efficiencies associated with the overall system and its components. Furthermore, the
effects of different configurations, refrigerants and operating conditions are analyzed with
respect to conventional exergy analyses. In addition, advanced exergy analyses are also
conducted in order to better identify critical relationships between the TMS components and
determine where the system improvement efforts should be concentrated. Moreover, investment
costs are calculated and cost formation of the system is developed in order to evaluate the TMS
with respect to exergoeconomic principles and provide corresponding recommendations.
Environmental impact correlations are developed, along with a cradle-to-grave life cycle
assessment (LCA), to highlight components causing significant environmental impact, and to
suggest trends and possibilities for improvement based on the exergoenvironmental variables.
Finally, the TMS is optimized using multi-objective evolutionary algorithm which considers
exergetic and exergoeconomic as well as exergetic and exergoenvironmental objectives
simultaneously with respect to the decision variables and constraints.
Based on the conducted research for the studied system under the baseline conditions, the exergy
efficiency, total cost rate and environmental impact rate are determined to be 0.29, ??28/h and
77.3 mPts/h, respectively. The exergy destruction associated with each component is split into
endogenous/exogenous and avoidable/unavoidable parts, where the exogenous exergy
destruction is determined to be relatively small but significant portion of the total exergy
destruction in each component (up to 40%), indicating a moderate level of interdependencies
among the components of the TMS. Furthermore, it is determined that up to 70% of the exergy
destruction calculated within the components could potentially be avoided.
According to the analyses,
electric battery is determined to have the highest exergoeconomic and
exergoenvironmental importance in the system, with cost rate of ??3.5/h and environmental
impact value of 37.72 mPts/h, due to the high production cost of lithium ion batteries…
Advisors/Committee Members: Dincer, Ibrahim, Naterer, Greg F..
Subjects/Keywords: Exergy; Exergoeconomic analysis; Thermal management system; Electric vehicle; Hybrid electric vehicle
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APA (6th Edition):
Hamut, H. S. (2012). Exergy and exergoeconomic analyses and optimization of thermal management systems in electric and hybrid electric vehicles. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/888
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Hamut, Halil S. “Exergy and exergoeconomic analyses and optimization of thermal management systems in electric and hybrid electric vehicles.” 2012. Thesis, University of Ontario Institute of Technology. Accessed March 07, 2021.
http://hdl.handle.net/10155/888.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Hamut, Halil S. “Exergy and exergoeconomic analyses and optimization of thermal management systems in electric and hybrid electric vehicles.” 2012. Web. 07 Mar 2021.
Vancouver:
Hamut HS. Exergy and exergoeconomic analyses and optimization of thermal management systems in electric and hybrid electric vehicles. [Internet] [Thesis]. University of Ontario Institute of Technology; 2012. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10155/888.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Hamut HS. Exergy and exergoeconomic analyses and optimization of thermal management systems in electric and hybrid electric vehicles. [Thesis]. University of Ontario Institute of Technology; 2012. Available from: http://hdl.handle.net/10155/888
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Cornell University
4.
Chang, Kuming.
Determinants Of U.S. Hybrid Electric Vehicle Saturation Levels And The Implications For Policy.
Degree: PhD, Regional Science, 2015, Cornell University
URL: http://hdl.handle.net/1813/39366
► : The hybrid electric vehicle (HEV), a $30 billion per annum industry, has long been treated as another commodity where only its price and fuel…
(more)
▼ : The
hybrid electric vehicle (HEV), a $30 billion per annum industry, has long been treated as another commodity where only its price and fuel efficiency matter. In fact, its growth has deep socioeconomic roots, and auto manufacturers have long practiced concentrated and localized marketing when rolling out new models through their branches, dealers and wholesalers. However, no previous study has investigated this effect for HEVs down to the county level. This thesis analyzes a new and previously inaccessible data set to provide a detailed view of the saturation rate of HEVs for 3000 counties in the U.S. Utilizing the U.S. county-level registration data for HEVs, our results show that the dollars-per-mile cost is the most important factor for consumers purchasing HEVs. State tax waivers, state income tax credits and HOV lane access are shown to be important for promoting HEV sales. On the other hand, the HEV tax incentives from the Federal government are relatively ineffective without these additional incentives from state governments. These results suggest that the federal government should allow state governments to decide their own policies for promoting HEVs. Lastly, a Geographic Information System (GIS) analysis of the sales of Toyota Prius shows that they have a spatial clustering feature indicating that, contrary to popular opinion, state government incentives have a greater effect on consumers in the Midwest than they do in the East and West Coast
Advisors/Committee Members: Mount, Timothy Douglas (chair), Zhang, Ke (committee member), Li, Shanjun (committee member).
Subjects/Keywords: hybrid electric vehicle; fixed effects; Tax incentives
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APA (6th Edition):
Chang, K. (2015). Determinants Of U.S. Hybrid Electric Vehicle Saturation Levels And The Implications For Policy. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/39366
Chicago Manual of Style (16th Edition):
Chang, Kuming. “Determinants Of U.S. Hybrid Electric Vehicle Saturation Levels And The Implications For Policy.” 2015. Doctoral Dissertation, Cornell University. Accessed March 07, 2021.
http://hdl.handle.net/1813/39366.
MLA Handbook (7th Edition):
Chang, Kuming. “Determinants Of U.S. Hybrid Electric Vehicle Saturation Levels And The Implications For Policy.” 2015. Web. 07 Mar 2021.
Vancouver:
Chang K. Determinants Of U.S. Hybrid Electric Vehicle Saturation Levels And The Implications For Policy. [Internet] [Doctoral dissertation]. Cornell University; 2015. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/1813/39366.
Council of Science Editors:
Chang K. Determinants Of U.S. Hybrid Electric Vehicle Saturation Levels And The Implications For Policy. [Doctoral Dissertation]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/39366
Texas A&M University
5.
Lai, Lin.
A Development of Design and Control Methodology for Next Generation Parallel Hybrid Electric Vehicle.
Degree: PhD, Electrical Engineering, 2013, Texas A&M University
URL: http://hdl.handle.net/1969.1/149289
► Commercially available Hybrid Electric Vehicles (HEVs) have been around for more than ten years. However, their market share remains small. Focusing only on the improvement…
(more)
▼ Commercially available
Hybrid Electric Vehicles (HEVs) have been around for more than ten years. However, their market share remains small. Focusing only on the improvement of fuel economy, the design tends to reduce the size of the internal combustion engine in the HEV, and uses the electrical drive to compensate for the power gap between the load demand and the engine capacity. Unfortunately, the low power density and the high cost of the combined
electric motor drive and battery packs dictate that the HEV has either worse performance or much higher price than the conventional
vehicle. In this research, a new design philosophy for parallel HEV is proposed, which uses a full size engine to guarantee the
vehicle performance at least as good as the conventional
vehicle, and hybridizes with an electrical drive in parallel to improve the fuel economy and performance beyond the conventional cars. By analyzing the HEV fuel economy versus the increasing of the electrical drive power on typical driving conditions, the optimal hybridization
electric power capacity is determined. Thus, the full size engine HEV shows significant improvement in fuel economy and performance, with relatively short cost recovery period.
A new control strategy, which optimizes the fuel economy of parallel configured charge sustained
hybrid electric vehicles, is proposed in the second part of this dissertation. This new approach is a constrained engine on-off strategy, which has been developed from the two extreme control strategies of maximum SOC and engine on-off, by taking their advantages and overcoming their disadvantages. A system optimization program using dynamic programming algorithm has been developed to calibrate the control parameters used in the developed control strategy, so that the control performance can be as close to the optimal solution as possible. In order to determine the sensitivity of the new control strategy to different driving conditions, a passenger car is simulated on different driving cycles. The performances of the
vehicle with the new control strategy are compared with the optimal solution obtained on each driving condition with the dynamic programming optimization. The simulation result shows that the new control strategy always keeps its performance close to the optimal one, as the driving condition changes.
Advisors/Committee Members: Ehsani, Mehrdad (advisor), Singh, Chanan (committee member), Bhattacharyya, Shankar (committee member), Kim, Won-jong (committee member).
Subjects/Keywords: Control strategy; Dynamic programming; Hybrid electric vehicle
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APA (6th Edition):
Lai, L. (2013). A Development of Design and Control Methodology for Next Generation Parallel Hybrid Electric Vehicle. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/149289
Chicago Manual of Style (16th Edition):
Lai, Lin. “A Development of Design and Control Methodology for Next Generation Parallel Hybrid Electric Vehicle.” 2013. Doctoral Dissertation, Texas A&M University. Accessed March 07, 2021.
http://hdl.handle.net/1969.1/149289.
MLA Handbook (7th Edition):
Lai, Lin. “A Development of Design and Control Methodology for Next Generation Parallel Hybrid Electric Vehicle.” 2013. Web. 07 Mar 2021.
Vancouver:
Lai L. A Development of Design and Control Methodology for Next Generation Parallel Hybrid Electric Vehicle. [Internet] [Doctoral dissertation]. Texas A&M University; 2013. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/1969.1/149289.
Council of Science Editors:
Lai L. A Development of Design and Control Methodology for Next Generation Parallel Hybrid Electric Vehicle. [Doctoral Dissertation]. Texas A&M University; 2013. Available from: http://hdl.handle.net/1969.1/149289
Delft University of Technology
6.
Holwerda, K. (author).
Development of a Dragstart Control Logic in a Hybrid Electric Vehicle.
Degree: 2013, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:54ff6cdf-59a5-4280-a156-963006c7178c
Not available because of confidentiality
Precision and Microsystems Engineering
Mechanical, Maritime and Materials Engineering
Advisors/Committee Members: Holweg, E.G.M. (mentor), Knape, L.H. (mentor), De Vries, E.J.H. (mentor).Subjects/Keywords: Dragstart Control Logic; Hybrid Electric Vehicle
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APA (6th Edition):
Holwerda, K. (. (2013). Development of a Dragstart Control Logic in a Hybrid Electric Vehicle. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:54ff6cdf-59a5-4280-a156-963006c7178c
Chicago Manual of Style (16th Edition):
Holwerda, K (author). “Development of a Dragstart Control Logic in a Hybrid Electric Vehicle.” 2013. Masters Thesis, Delft University of Technology. Accessed March 07, 2021.
http://resolver.tudelft.nl/uuid:54ff6cdf-59a5-4280-a156-963006c7178c.
MLA Handbook (7th Edition):
Holwerda, K (author). “Development of a Dragstart Control Logic in a Hybrid Electric Vehicle.” 2013. Web. 07 Mar 2021.
Vancouver:
Holwerda K(. Development of a Dragstart Control Logic in a Hybrid Electric Vehicle. [Internet] [Masters thesis]. Delft University of Technology; 2013. [cited 2021 Mar 07].
Available from: http://resolver.tudelft.nl/uuid:54ff6cdf-59a5-4280-a156-963006c7178c.
Council of Science Editors:
Holwerda K(. Development of a Dragstart Control Logic in a Hybrid Electric Vehicle. [Masters Thesis]. Delft University of Technology; 2013. Available from: http://resolver.tudelft.nl/uuid:54ff6cdf-59a5-4280-a156-963006c7178c
McMaster University
7.
George, Andrew.
Propulsion System Integration of a Parallel Through The Road Hybrid Electric Vehicle.
Degree: MASc, 2020, McMaster University
URL: http://hdl.handle.net/11375/26039
► This thesis outlines the mechanical design and integration of a P0/P4 Parallel Through-the-Road Hybrid Electric Vehicle. The vehicle is McMaster University’s entrant into the EcoCAR…
(more)
▼ This thesis outlines the mechanical design and integration of a P0/P4 Parallel Through-the-Road Hybrid Electric Vehicle. The vehicle is McMaster University’s entrant into the EcoCAR Mobility Challenge, the current offering of the long running Advanced Vehicle Technology Competition series. The competition challenges students to electrify a 2019 Chevrolet Blazer, while meeting the needs of a car sharing platform.
The design of the McMaster vehicle will be explored, starting with a walkthrough of the architecture selection process performed in the first year of competition. The design process of both powertrains will be examined, starting with component selection and working up to assembly integration. Particular attention will be paid to the rear electrified powertrain, which has been designed from the ground up for this purpose, including custom single speed gear reduction.
The current integration status of the vehicle will be shown. Timeline delays due to the COVID-19 pandemic will be discussed, as well as next steps to move towards complete vehicle integration. A vehicle testing plan will be put forward, using the cutting edge systems available at the McMaster Automotive Resource Center.
Thesis
Master of Applied Science (MASc)
As Hybrid Electric Vehicles continue to grow in market share, the Advanced Vehicle Technology Competition series seeks to challenge and train students in this booming industry. The current competition in this series is the EcoCAR Mobility Challenge, where students must re-engineer a 2019 Chevrolet Blazer into a hybrid vehicle over four years. The vehicle is to incorporate new autonomous technologies, as well as be targeted at a car sharing application. The McMaster University Engineering EcoCAR team has entered into this competition.
This thesis describes the detailed mechanical design of the new vehicle. This begins by examining the selected hybrid layout, or architecture. Then the design process of individual systems is shown, with emphasis on how each system meets the McMaster team goals. Then the current state of the vehicle is shown, and delays due to COVID-19 are discussed. Finally, a testing plan is proposed, to ensure all systems can meet their design goals.
Advisors/Committee Members: Emadi, Ali, Mechanical Engineering.
Subjects/Keywords: EcoCAR; Hybrid; Electric Vehicle; Through The Road
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APA (6th Edition):
George, A. (2020). Propulsion System Integration of a Parallel Through The Road Hybrid Electric Vehicle. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/26039
Chicago Manual of Style (16th Edition):
George, Andrew. “Propulsion System Integration of a Parallel Through The Road Hybrid Electric Vehicle.” 2020. Masters Thesis, McMaster University. Accessed March 07, 2021.
http://hdl.handle.net/11375/26039.
MLA Handbook (7th Edition):
George, Andrew. “Propulsion System Integration of a Parallel Through The Road Hybrid Electric Vehicle.” 2020. Web. 07 Mar 2021.
Vancouver:
George A. Propulsion System Integration of a Parallel Through The Road Hybrid Electric Vehicle. [Internet] [Masters thesis]. McMaster University; 2020. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/11375/26039.
Council of Science Editors:
George A. Propulsion System Integration of a Parallel Through The Road Hybrid Electric Vehicle. [Masters Thesis]. McMaster University; 2020. Available from: http://hdl.handle.net/11375/26039
Clemson University
8.
Tao, Xinran (William).
Design, Modeling and Control of a Thermal Management System for Hybrid Electric Vehicles.
Degree: PhD, Mechanical Engineering, 2016, Clemson University
URL: https://tigerprints.clemson.edu/all_dissertations/1631
► Hybrid electric vehicle (HEV) technology has evolved in the last two decades to become economically feasible for mass produced automobiles. With the integration of a…
(more)
▼ Hybrid electric vehicle (HEV) technology has evolved in the last two decades to become economically feasible for mass produced automobiles. With the integration of a lithium battery pack and
electric motors, HEVs offer a significantly higher fuel efficiency than traditional vehicles that are driven solely by an internal combustion engine. However, the additional HEV components also introduce new challenges for the powertrain thermal management system design. In addition to the common internal combustion engine, the battery pack, the generator(s), as well as the
electric motor(s) are now widely applied in the HEVs and have become new heat sources and they also require proper thermal management. Conventional cooling systems have been typically equipped with a belt driven water pump and radiator fan, as well as other mechanical actuators such as the thermostat valve. The operation of these components is generally determined by the engine speed. This open-loop cooling strategy has a low efficiency and suffers the risk of over-cooling the coolant and components within the system. In advanced thermal management systems, the mechanical elements are upgraded by computer controlled actuators including a servo-motor driven pump, variable speed fans, a smart thermostat, and an
electric motor driven compressor. These electrified actuators offer the opportunity to improve temperature tracking and reduce parasitic losses. This dissertation investigates a HEV powertrain thermal management system featuring computer controlled cooling system actuators. A suite of mathematical models have been created to describe the thermal behaviour of the HEV powertrain components. Model based controllers were developed for the
vehicle's cooling systems including the battery pack,
electric motors, and internal combustion engine. Optimal control theory has been applied to determine the ideal battery cooling air temperature and the desired heat removal rate on e-motor cooling surface. A model predictive controller(MPC) was developed to regulate the refrigerant compressor and track the battery cooling air temperature. A series of Lyapunov-based nonlinear controllers have been implemented to regulate the coolant pumps and radiator fans in the cooling systems for the engine and e-motors. Representative numerical results are presented and discussed. Overall, the proposed control strategies have demonstrated the effectiveness in improving both the temperature tracking performance and the cooling system power consumption reduction. The peak temperature error in the selected A123 battery core can be tracked within 0.25 C of the target; a 50% reduction of the vapor compression system energy consumption can be obtained by properly designing the cooling air flow structure. Similarly, the cooling system of HEV
electric motors shows that the machine internal peak temperature can be tracked to the target value with a maximum error of 3.9 C and an average error of 0.13 C. A 70% to 81% cooling system energy consumption reduction can be…
Advisors/Committee Members: Dr. John R. Wagner, Committee Chair, Dr. Richard S. Miller, Dr. Todd Schweisinger, Dr. Ardalan Vahidi.
Subjects/Keywords: Battery; Controller; Hybrid Electric Vehicle; Thermal Management
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APA (6th Edition):
Tao, X. (. (2016). Design, Modeling and Control of a Thermal Management System for Hybrid Electric Vehicles. (Doctoral Dissertation). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_dissertations/1631
Chicago Manual of Style (16th Edition):
Tao, Xinran (William). “Design, Modeling and Control of a Thermal Management System for Hybrid Electric Vehicles.” 2016. Doctoral Dissertation, Clemson University. Accessed March 07, 2021.
https://tigerprints.clemson.edu/all_dissertations/1631.
MLA Handbook (7th Edition):
Tao, Xinran (William). “Design, Modeling and Control of a Thermal Management System for Hybrid Electric Vehicles.” 2016. Web. 07 Mar 2021.
Vancouver:
Tao X(. Design, Modeling and Control of a Thermal Management System for Hybrid Electric Vehicles. [Internet] [Doctoral dissertation]. Clemson University; 2016. [cited 2021 Mar 07].
Available from: https://tigerprints.clemson.edu/all_dissertations/1631.
Council of Science Editors:
Tao X(. Design, Modeling and Control of a Thermal Management System for Hybrid Electric Vehicles. [Doctoral Dissertation]. Clemson University; 2016. Available from: https://tigerprints.clemson.edu/all_dissertations/1631
Delft University of Technology
9.
Tan, C. (author).
Electric Vehicle Traction Drive Using Si/SiC Hybrid Switches.
Degree: 2020, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:8cc69363-d934-4e11-9f52-5b4acb44220b
► The parallel connection of a Silicon (Si)-based IGBT and a Silicon Carbide (SiC)-based MOSFET forming a so called hybrid switch can be used to capitalize…
(more)
▼ The parallel connection of a Silicon (Si)-based IGBT and a Silicon Carbide (SiC)-based MOSFET forming a so called
hybrid switch can be used to capitalize on the advantageous features of both semiconductor and materials technologies. In this thesis, a
hybrid switch-based inverter designed for the application of
Electric Vehicle (EV) traction drive is compared to the conventional inverter assembled with Si-based IGBTs, and SiC-based MOSFETs. According to different standardized driving cycles,
Electric Vehicles operate in low partial load for a considerable amount of the time. Therefore, in this application, semiconductor conduction losses can be considerably reduced when unipolar switches such as MOSFETs are used. Collectively, this work shows that the
hybrid switch configuration constitutes a good compromise between efficiency and cost when compared to a solution implementing only Si-based IGBT or solely SiC-based MOSFETs.
Advisors/Committee Members: Batista Soeiro, T. (mentor), Bauer, P. (graduation committee), Lekic, A. (graduation committee), Delft University of Technology (degree granting institution).
Subjects/Keywords: Electric Vehicle; SiC; Hybrid Switch; motor drive
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APA (6th Edition):
Tan, C. (. (2020). Electric Vehicle Traction Drive Using Si/SiC Hybrid Switches. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:8cc69363-d934-4e11-9f52-5b4acb44220b
Chicago Manual of Style (16th Edition):
Tan, C (author). “Electric Vehicle Traction Drive Using Si/SiC Hybrid Switches.” 2020. Masters Thesis, Delft University of Technology. Accessed March 07, 2021.
http://resolver.tudelft.nl/uuid:8cc69363-d934-4e11-9f52-5b4acb44220b.
MLA Handbook (7th Edition):
Tan, C (author). “Electric Vehicle Traction Drive Using Si/SiC Hybrid Switches.” 2020. Web. 07 Mar 2021.
Vancouver:
Tan C(. Electric Vehicle Traction Drive Using Si/SiC Hybrid Switches. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Mar 07].
Available from: http://resolver.tudelft.nl/uuid:8cc69363-d934-4e11-9f52-5b4acb44220b.
Council of Science Editors:
Tan C(. Electric Vehicle Traction Drive Using Si/SiC Hybrid Switches. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:8cc69363-d934-4e11-9f52-5b4acb44220b
Virginia Tech
10.
Alley, Robert Jesse.
VTool: A Method for Predicting and Understanding the Energy Flow and Losses in Advanced Vehicle Powertrains.
Degree: MS, Mechanical Engineering, 2012, Virginia Tech
URL: http://hdl.handle.net/10919/33697
► As the global demand for energy increases, the people of the United States are increasingly subject to high and ever-rising oil prices. Additionally, the U.S.…
(more)
▼ As the global demand for energy increases, the people of the United States are increasingly
subject to high and ever-rising oil prices. Additionally, the U.S. transportation sector accounts for 27% of total nationwide Greenhouse Gas (GHG) emissions. In the U.S. transportation sector, light-duty passenger vehicles account for about 58% of energy use. Therefore incremental improvements in light-duty
vehicle efficiency and energy use will significantly impact the overall landscape of energy use in America.
A crucial step to designing and building more efficient vehicles is modeling powertrain energy consumption. While accurate modeling is indeed key to effective and efficient design, a fundamental understanding of the powertrain and auxiliary systems that contribute to energy consumption for a
vehicle is equally as important if not more important. This thesis presents a methodology that has been packaged into a tool, called VTool, that can be used to estimate the energy consumption of a
vehicle powertrain. The method is intrinsically designed to foster understanding of the
vehicle powertrain as it relates to energy consumption while still providing reasonably accurate results. VTool explicitly calculates the energy required at the wheels of the
vehicle to complete a prescribed drive cycle and then explicitly applies component efficiencies to find component losses and the overall energy consumption for the drive cycle. In calculating component efficiencies and losses, VTool offers several tunable parameters that can be used to calibrate the tool for a particular
vehicle, compare powertrain architectures, or simply explore the tradeoffs and sensitivities of certain parameters.
In this paper, the method is fully and explicitly developed to model
Electric Vehicles (EVs), Series
Hybrid Electric Vehicles (HEVs) and Parallel HEVs for various different drive cycles. VTool has also been validated for use in UDDS and HwFET cycles using on-road test results from the 2011 EcoCAR competition. By extension, the method could easily be extended for use in other cycles. The end result is a tool that can predict fuel consumption to a reasonable degree of accuracy for a variety of powertrains, calculate J1711 Utility Factor weighted energy consumption for Extended Range
Electric Vehicles (EREVs) and determine the Well-to-Wheel impact of a given powertrain or fuel. VTool does all of this while performing all calculations explicitly and calculating all component losses to allow the user maximum access which promotes understanding and comprehension of the fundamental dynamics of automotive fuel economy and the powertrain as a system.
Advisors/Committee Members: Nelson, Douglas J. (committeechair), West, Robert L. Jr. (committee member), Huxtable, Scott T. (committee member).
Subjects/Keywords: petroleum; fuel economy; powertrain modeling; hybrid electric vehicle; plug-in hybrid electric vehicle; electric vehicle; environment; greenhouse gases
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Export
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Manager
APA (6th Edition):
Alley, R. J. (2012). VTool: A Method for Predicting and Understanding the Energy Flow and Losses in Advanced Vehicle Powertrains. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/33697
Chicago Manual of Style (16th Edition):
Alley, Robert Jesse. “VTool: A Method for Predicting and Understanding the Energy Flow and Losses in Advanced Vehicle Powertrains.” 2012. Masters Thesis, Virginia Tech. Accessed March 07, 2021.
http://hdl.handle.net/10919/33697.
MLA Handbook (7th Edition):
Alley, Robert Jesse. “VTool: A Method for Predicting and Understanding the Energy Flow and Losses in Advanced Vehicle Powertrains.” 2012. Web. 07 Mar 2021.
Vancouver:
Alley RJ. VTool: A Method for Predicting and Understanding the Energy Flow and Losses in Advanced Vehicle Powertrains. [Internet] [Masters thesis]. Virginia Tech; 2012. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10919/33697.
Council of Science Editors:
Alley RJ. VTool: A Method for Predicting and Understanding the Energy Flow and Losses in Advanced Vehicle Powertrains. [Masters Thesis]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/33697
Virginia Tech
11.
White, Eli Hampton.
An Illustrative Look at Energy Flow through Hybrid Powertrains for Design and Analysis.
Degree: MS, Mechanical Engineering, 2014, Virginia Tech
URL: http://hdl.handle.net/10919/49433
► Throughout the past several years, a major push has been made for the automotive industry to provide vehicles with lower environmental impacts while maintaining safety,…
(more)
▼ Throughout the past several years, a major push has been made for the automotive industry to provide vehicles with lower environmental impacts while maintaining safety, performance, and overall appeal. Various legislation has been put into place to establish guidelines for these improvements and serve as a challenge for automakers all over the world. In light of these changes,
hybrid technologies have been growing immensely on the market today as customers are seeing the benefits with lower fuel consumption and higher efficiency vehicles. With the need for hybrids rising, it is vital for the engineers of this age to understand the importance of advanced
vehicle technologies and learn how and why these vehicles can change the world as we know it. To help in the education process, this thesis seeks to define a powertrain model created and developed to help users understand the basics behind
hybrid vehicles and the effects of these advanced technologies.
One of the main goals of this research is to maintain a simplified approach to model development. There are very complex
vehicle simulation models in the market today, however these can be hard to manipulate and even more difficult to understand. The 1 Hz model described within this work aims to allow energy to be simply and understandable traced through a
hybrid powertrain. Through the use of a 'backwards' energy tracking method, demand for a drive cycle is found using a drive cycle and
vehicle parameters. This demand is then used to determine what amount of energy would be required at each component within the powertrain all the way from the wheels to the fuel source, taking into account component losses and accessory loads on the
vehicle. Various energy management strategies are developed and explained including controls for regenerative braking, Battery
Electric Vehicles, and Thermostatic and Load-following Series
Hybrid Electric Vehicles. These strategies can be easily compared and manipulated to understand the tradeoffs and limitations of each.
After validating this model, several studies are completed. First, an example of using this model to design a
hybrid powertrain is conducted. This study moves from defining system requirements to component selection, and then finding the best powertrain to accomplish the given constraints. Next, a parameter known as Power Split Fraction is studied to provide insight on how it affects overall powertrain efficiency. Since the goal with advanced
vehicle powertrains is to increase overall system efficiency and reduce overall energy consumption, it is important to understand how all of the factors involved affect the system as a whole. After completing these studies, this thesis moves on to discussing future work which will continue refining this model and making it more applicable for design. Overall, this work seeks to provide an educational tool and aid in the development of the automotive engineers of tomorrow.
Advisors/Committee Members: Nelson, Douglas J. (committeechair), Huxtable, Scott T. (committee member), West, Robert L. (committee member).
Subjects/Keywords: hybrid electric vehicle; plug-in hybrid electric vehicle; electric vehicle; environment; greenhouse gases; fuel economy; powertrain modeling; power split fraction
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Manager
APA (6th Edition):
White, E. H. (2014). An Illustrative Look at Energy Flow through Hybrid Powertrains for Design and Analysis. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/49433
Chicago Manual of Style (16th Edition):
White, Eli Hampton. “An Illustrative Look at Energy Flow through Hybrid Powertrains for Design and Analysis.” 2014. Masters Thesis, Virginia Tech. Accessed March 07, 2021.
http://hdl.handle.net/10919/49433.
MLA Handbook (7th Edition):
White, Eli Hampton. “An Illustrative Look at Energy Flow through Hybrid Powertrains for Design and Analysis.” 2014. Web. 07 Mar 2021.
Vancouver:
White EH. An Illustrative Look at Energy Flow through Hybrid Powertrains for Design and Analysis. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10919/49433.
Council of Science Editors:
White EH. An Illustrative Look at Energy Flow through Hybrid Powertrains for Design and Analysis. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/49433
Delft University of Technology
12.
Wang, N. (author).
The exploration of the reverse salient of electric vehicle systems for urban mobility.
Degree: 2013, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:c07042a0-580f-4ccd-b1de-9dcba0785d55
► Electrification transportation for urban mobility is a hot topic around the world. Many types of electric vehicles could be employed for urban mobility, but both…
(more)
▼ Electrification transportation for urban mobility is a hot topic around the world. Many types of electric vehicles could be employed for urban mobility, but both the EVs’ adoption rate and the deployment of their dependent infrastructures are either in the nascent stage or have not been commercialized. No study has studied the drawbacks of EV systems for urban areas in order to improve their performance. A methodology is needed to indicate the reverse salient, which represents the technical drawbacks and social barriers within a large scale technological system, that are hindering the EV diffusion. This paper employed morphological analysis to thoroughly explore all possible designs of electric vehicle systems for urban mobility. Based on the 45 explored electric vehicle configurations, the RS for each type of EV system are identified by consulting four automotive industry experts. The results are validated by confronting with the results from reviewing 34 previous literatures. Multiple technical and social RS are indicated with suggested strategies to overcome the RS. At last, the RS of China’s EV market are analyzed and identified as government policies, consumer cultures and product diversity and market positioning. Multiple policy suggestions are given to the central government of China. Future studies can focus on analyzing RS for longer range applications; customer psychology and behavior towards EV; customer classifications for difference types of EVs; and analysis of policy incentives for EV adoption and charging behaviors.
EPA
Multi Actor Systems
Technology, Policy and Management
Advisors/Committee Members: Cunningham, S. (mentor), Sanz, A. (mentor), Thissen, W. (mentor), Kroesen, M. (mentor).
Subjects/Keywords: reverse salient; battery electric vehicle; hybrid electric vehicle; fuel cell vehicle; infrastructure of electric vehicle; morphological analysis
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APA ·
Chicago ·
MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Wang, N. (. (2013). The exploration of the reverse salient of electric vehicle systems for urban mobility. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:c07042a0-580f-4ccd-b1de-9dcba0785d55
Chicago Manual of Style (16th Edition):
Wang, N (author). “The exploration of the reverse salient of electric vehicle systems for urban mobility.” 2013. Masters Thesis, Delft University of Technology. Accessed March 07, 2021.
http://resolver.tudelft.nl/uuid:c07042a0-580f-4ccd-b1de-9dcba0785d55.
MLA Handbook (7th Edition):
Wang, N (author). “The exploration of the reverse salient of electric vehicle systems for urban mobility.” 2013. Web. 07 Mar 2021.
Vancouver:
Wang N(. The exploration of the reverse salient of electric vehicle systems for urban mobility. [Internet] [Masters thesis]. Delft University of Technology; 2013. [cited 2021 Mar 07].
Available from: http://resolver.tudelft.nl/uuid:c07042a0-580f-4ccd-b1de-9dcba0785d55.
Council of Science Editors:
Wang N(. The exploration of the reverse salient of electric vehicle systems for urban mobility. [Masters Thesis]. Delft University of Technology; 2013. Available from: http://resolver.tudelft.nl/uuid:c07042a0-580f-4ccd-b1de-9dcba0785d55
Cornell University
13.
White, Corey.
Integrating Plug-In Hybrid Electric Vehicles And Vehicle-To-Grid Technology Into The New York Electricity Market.
Degree: M.S., Agricultural Economics, Agricultural Economics, 2011, Cornell University
URL: http://hdl.handle.net/1813/29254
► The introduction of plug-in hybrid electric vehicles (PHEVs) into the transportation system will provide both opportunities and challenges for those who own the vehicles and…
(more)
▼ The introduction of plug-in
hybrid electric vehicles (PHEVs) into the transportation system will provide both opportunities and challenges for those who own the vehicles and power systems operators. The opportunities come in the form of the ability to provide
vehicle-to-grid (V2G) services including peak load reduction and frequency regulation. Utilizing these services can provide profits for the
vehicle owners, cost savings for the grid operators, and reduced air pollution. The primary goal of this study is to analyze these benefits from the viewpoint of the individual
vehicle owner. It is found that there is little financial incentive when V2G services are used for peak reduction. There is much greater potential for financial return when V2G services are used to provide frequency regulation, likely enough to incentivize many people to participate in such a program. Proposed in this paper is a system that combines these V2G services into a single program, which could have the effect of ensuring profits for the individual, while still providing cost-saving opportunities for grid operators, and emission reductions during the times when it is needed most. In addition to the opportunities brought about by increased penetration of PHEVs, there are challenges as well. This comes mainly in the form of increased demand for electricity. The possible effects on electricity load of increased PHEV penetration and V2G participation are analyzed in this paper. Furthermore, an econometric model is used to predict the effect of increased electricity load on electricity price at each hour of the day. It is found that increased PHEV penetration can (in a regulated charging scheme) increase electricity loads and prices during the hours when electricity loads and prices are currently lowest. Furthermore, if V2G technology is used for peak reduction, electricity loads and prices can be reduced during peak electricity demand hours. The overall effect of this is a flattening of the daily electricity load and price profiles, which is likely to be beneficial for power system operators. The flattening of the daily electricity price profile has the effect of reducing profits when V2G technology is used for peak reduction because it raises the price during charging (buying electricity) and lowers the price during discharging (selling electricity). While the analysis presented here works within the framework of the current electricity markets, it is possible that the best use for V2G technology could come in a program that allows grid operators to dispatch the stored energy for the optimal purpose (e.g.: peak reduction, regulation, reserves, ramping) at any period of time. This would require a different type of market structure, possibly even a separate market for storage, in which V2G services could participate.
Advisors/Committee Members: Mount, Timothy Douglas (chair), Zhang, Ke (committee member).
Subjects/Keywords: Plug-In Hybrid Electric Vehicle (PHEV); Vehicle to Grid (V2G); Energy
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CSE |
Export
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Manager
APA (6th Edition):
White, C. (2011). Integrating Plug-In Hybrid Electric Vehicles And Vehicle-To-Grid Technology Into The New York Electricity Market. (Masters Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/29254
Chicago Manual of Style (16th Edition):
White, Corey. “Integrating Plug-In Hybrid Electric Vehicles And Vehicle-To-Grid Technology Into The New York Electricity Market.” 2011. Masters Thesis, Cornell University. Accessed March 07, 2021.
http://hdl.handle.net/1813/29254.
MLA Handbook (7th Edition):
White, Corey. “Integrating Plug-In Hybrid Electric Vehicles And Vehicle-To-Grid Technology Into The New York Electricity Market.” 2011. Web. 07 Mar 2021.
Vancouver:
White C. Integrating Plug-In Hybrid Electric Vehicles And Vehicle-To-Grid Technology Into The New York Electricity Market. [Internet] [Masters thesis]. Cornell University; 2011. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/1813/29254.
Council of Science Editors:
White C. Integrating Plug-In Hybrid Electric Vehicles And Vehicle-To-Grid Technology Into The New York Electricity Market. [Masters Thesis]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/29254
University of Bath
14.
Enang, Wisdom.
Robust real-time control of a parallel hybrid electric vehicle.
Degree: PhD, 2017, University of Bath
URL: https://researchportal.bath.ac.uk/en/studentthesis/robust-realtime-control-of-a-parallel-hybrid-electric-vehicle(701f97df-949e-433a-a993-731268c2d754).html
;
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.720652
► The gradual decline in global oil reserves and the presence of ever so stringent emissions rules around the world have created an urgent need for…
(more)
▼ The gradual decline in global oil reserves and the presence of ever so stringent emissions rules around the world have created an urgent need for the production of automobiles with improved fuel economy. HEVs (hybrid electric vehicles) have proved a viable option to guaranteeing improved fuel economy and reduced emissions. The fuel consumption benefits which can be realised when utilising HEV architecture are dependent on how much braking energy is regenerated, and how well the regenerated energy is utilised. The challenge in developing a real-time HEV control strategy lies in the satisfaction of often conflicting control constraints involving fuel consumption, emissions and driveability without over-depleting the battery state of charge at the end of the defined driving cycle. Reviewed literature indicates some research gaps and hence exploitable study areas for which this thesis intends to address. For example, despite the research advances made, HEV energy management is still lacking in several key areas: optimisation of braking energy regeneration; real-time sub-optimal control of HEV for robustness, charge sustenance and fuel reduction; and real-time vehicle speed control. Consequently, this thesis aims to primarily develop novel real-time near-optimal control strategies for a parallel HEV, with a view to achieving robustness, fuel savings and charge sustenance simultaneously, under various levels of obtainable driving information (no route preview information, partial route preview information). Using a validated HEV dynamic simulation model, the following novel formulations are proposed in this thesis and subsequently evaluated in real time: 1. A simple grouping system useful for classifying standard and real-world driving cycles on the basis of aggressivity and road type. 2. A simple and effective near-optimal heuristic control strategy with no access to route preview information. 3. A dynamic programming-inspired real-time near-optimal control strategy with no access to route preview information. 4. An ECMS (Equivalent Consumption Minimisation Strategy) inspired real-time near-optimal control strategy with no access to route preview information. 5. An ECMS-inspired real-time near-optimal control strategy with partial access to route preview information. 6. A dynamic programming based route-optimal vehicle speed control strategy which accounts for real-time dynamic effects like engine braking, while solving an optimisation problem involving the maximisation of fuel savings with little or no penalty to trip time. 7. A real-time vehicle speed control approach, which is based on smoothing the speed trajectory of the lead vehicle, consequently reducing the acceleration and deceleration events that the intelligent vehicle (follower vehicle) will undergo. This smoothing effect translates into reduced fuel consumption, which tends to increase with increasing traffic preview window. Among other studies performed in this thesis, the fuel savings potential of the proposed near-optimal controllers was investigated in…
Subjects/Keywords: 629.22; Hybrid vehicle; Control; Electric vehicle; automotive engineering
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APA ·
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Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Enang, W. (2017). Robust real-time control of a parallel hybrid electric vehicle. (Doctoral Dissertation). University of Bath. Retrieved from https://researchportal.bath.ac.uk/en/studentthesis/robust-realtime-control-of-a-parallel-hybrid-electric-vehicle(701f97df-949e-433a-a993-731268c2d754).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.720652
Chicago Manual of Style (16th Edition):
Enang, Wisdom. “Robust real-time control of a parallel hybrid electric vehicle.” 2017. Doctoral Dissertation, University of Bath. Accessed March 07, 2021.
https://researchportal.bath.ac.uk/en/studentthesis/robust-realtime-control-of-a-parallel-hybrid-electric-vehicle(701f97df-949e-433a-a993-731268c2d754).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.720652.
MLA Handbook (7th Edition):
Enang, Wisdom. “Robust real-time control of a parallel hybrid electric vehicle.” 2017. Web. 07 Mar 2021.
Vancouver:
Enang W. Robust real-time control of a parallel hybrid electric vehicle. [Internet] [Doctoral dissertation]. University of Bath; 2017. [cited 2021 Mar 07].
Available from: https://researchportal.bath.ac.uk/en/studentthesis/robust-realtime-control-of-a-parallel-hybrid-electric-vehicle(701f97df-949e-433a-a993-731268c2d754).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.720652.
Council of Science Editors:
Enang W. Robust real-time control of a parallel hybrid electric vehicle. [Doctoral Dissertation]. University of Bath; 2017. Available from: https://researchportal.bath.ac.uk/en/studentthesis/robust-realtime-control-of-a-parallel-hybrid-electric-vehicle(701f97df-949e-433a-a993-731268c2d754).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.720652
15.
Åkvist, William.
Virtual Platform for Reinforcement Learning Research for Heavy Vehicles
.
Degree: Chalmers tekniska högskola / Institutionen för mekanik och maritima vetenskaper, 2020, Chalmers University of Technology
URL: http://hdl.handle.net/20.500.12380/300827
► The main objective of the project, tasked by Volvo Group Trucks Technology, is to implement a reinforcement learning agent in a open-source vehicle simulation model…
(more)
▼ The main objective of the project, tasked by Volvo Group Trucks Technology, is to
implement a reinforcement learning agent in a open-source vehicle simulation model
known as VehProp, developed at Chalmers University of Technology in MathWorks
Simulink. The project also aims to improve VehProp, particularly the Equivalent
Consumption Minimization Strategy. As a proof of concept for the reinforcement
learning implementation, an agent is trained to control the brakes of a hybrid electric
heavy duty vehicle in order to minimize fuel consumption through regenerative
braking. Much effort is put in the theory chapter, explaining reinforcement learning
and the simulation platform. The reinforcement learning agent is successfully implemented
in the simulation platform, using the Reinforcement Learning Toolbox in
Matlab. The training of the agent to control the brakes of a hybrid electric heavy
duty vehicle was unsuccessful, with the agent failing to display the wanted behavior.
Suggestions for future work with the agent are presented, mainly fulfilling the
Markov property, investigating sparse reward functions and the general implementation
of the agent to assure action-reward causality. Improvements to the Equivalent
Consumption Minimization Strategy of the simulation platform were made with a
decrease in fuel consumption as a result.
Subjects/Keywords: reinforcement learning;
vehicle simulation;
VehProp;
hybrid electric vehicle
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APA ·
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MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Åkvist, W. (2020). Virtual Platform for Reinforcement Learning Research for Heavy Vehicles
. (Thesis). Chalmers University of Technology. Retrieved from http://hdl.handle.net/20.500.12380/300827
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Åkvist, William. “Virtual Platform for Reinforcement Learning Research for Heavy Vehicles
.” 2020. Thesis, Chalmers University of Technology. Accessed March 07, 2021.
http://hdl.handle.net/20.500.12380/300827.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Åkvist, William. “Virtual Platform for Reinforcement Learning Research for Heavy Vehicles
.” 2020. Web. 07 Mar 2021.
Vancouver:
Åkvist W. Virtual Platform for Reinforcement Learning Research for Heavy Vehicles
. [Internet] [Thesis]. Chalmers University of Technology; 2020. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/20.500.12380/300827.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Åkvist W. Virtual Platform for Reinforcement Learning Research for Heavy Vehicles
. [Thesis]. Chalmers University of Technology; 2020. Available from: http://hdl.handle.net/20.500.12380/300827
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
16.
Deng, Shengwei.
Combining Powertrain Efficiency and Drivability for Optimizing Hybrid Development
.
Degree: Chalmers tekniska högskola / Institutionen för mekanik och maritima vetenskaper, 2019, Chalmers University of Technology
URL: http://hdl.handle.net/20.500.12380/300623
► It is undisputed that vehicle hybridization has become one of the most prospective solution to the global energy and environmental problems caused by the transport…
(more)
▼ It is undisputed that vehicle hybridization has become one of the most prospective
solution to the global energy and environmental problems caused by the transport
sector. After having experienced a rapid development, Hybrid Electric Vehicles
(HEV) are widely recognized by more and more customers and gradually dominating
the automobile market by their remarkable performance, fuel economy and emission
reduction. To survive the fierce market competition and to meet the increasingly
strict emission regulation, many car manufacturers are looking to decrease development
time and cost. Part of the actions in order to shorten development time, the
demand for virtual optimization and evaluation, as well as early drivability and high
level customer experience is needed. This thesis is aimed at exploring the possibility
of having access to the drivability evaluation and optimization virtually.
The first part involves identifying all the necessary signals and generating the missing
signals. The second part involves establishing the signal connection between
GT-Suite and AVL-Drive. The third part involves evaluating the drivability using
the AVL-Drive and carrying out the drivability optimization on targeted operation
modes.
In total, 12 vehicle signals are requested for a drivability assessment in AVL-Drive
and three of them (Brake State, Brake Pedal Position and Accelerator Pedal Position)
have been generated successfully. With the help of Matlab, the signal connection
between GT-Suite and AVL-Drive has been created and the drivability reference
objects of a competitor vehicle and LYNK&CO 01 are provided for comparison. The
drivability ratings of engine start and gear shift selected as the targeted operation
modes have been improved significantly.
Subjects/Keywords: Hybrid electric vehicle;
Powertrain efficiency;
Objective drivability assessment;
Vehicle simulation;
Optimization
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APA (6th Edition):
Deng, S. (2019). Combining Powertrain Efficiency and Drivability for Optimizing Hybrid Development
. (Thesis). Chalmers University of Technology. Retrieved from http://hdl.handle.net/20.500.12380/300623
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Deng, Shengwei. “Combining Powertrain Efficiency and Drivability for Optimizing Hybrid Development
.” 2019. Thesis, Chalmers University of Technology. Accessed March 07, 2021.
http://hdl.handle.net/20.500.12380/300623.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Deng, Shengwei. “Combining Powertrain Efficiency and Drivability for Optimizing Hybrid Development
.” 2019. Web. 07 Mar 2021.
Vancouver:
Deng S. Combining Powertrain Efficiency and Drivability for Optimizing Hybrid Development
. [Internet] [Thesis]. Chalmers University of Technology; 2019. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/20.500.12380/300623.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Deng S. Combining Powertrain Efficiency and Drivability for Optimizing Hybrid Development
. [Thesis]. Chalmers University of Technology; 2019. Available from: http://hdl.handle.net/20.500.12380/300623
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Victoria
17.
Matlock, Jay Michael Todd.
Evaluation of hybrid-electric propulsion systems for unmanned aerial vehicles.
Degree: Department of Mechanical Engineering, 2020, University of Victoria
URL: http://hdl.handle.net/1828/11484
► The future of aviation technology is transitioning to cleaner, more efficient and higher endurance aircraft solutions. As fully electric propulsion systems still fall short of…
(more)
▼ The future of aviation technology is transitioning to cleaner, more efficient and higher endurance aircraft solutions. As fully
electric propulsion systems still fall short of the operational requirements of modern day aircraft, there is increasing pressure and demand for the aviation industry to explore alternatives to fossil fuel driven propulsion systems. The primary focus of this research is to experimentally evaluate
hybrid electric propulsion systems (HEPS) for Unmanned Aerial Vehicles (UAV) which combine multiple power sources to improve performance. HEPS offer several potential benefits over more conventional propulsion systems such as a smaller environmental impact, lower fuel consumption, higher endurance and novel configurations through distributed propulsion. Advanced operating modes are also possible with HEPS, increasing the vehicle’s versatility and redundancy in case of power source failure.
The primary objective of the research is to combine all of the components of a small-scale HEPS together in a modular test bench for evaluation. The test bench uses components sized for a small-scale UAV including a 2.34kW two-stroke 35cc engine and a 1.65kW brushless DC motor together with an ESC capable of regenerative braking. Individual components were first tested to characterize performance, and then all components were assembled together in a parallel configuration to observe system-level performance. The parallel HEPS is capable of functioning in the four required operating modes: EM Only, ICE Only, Dash Mode (combined EM and ICE power) as well as Regenerative Mode where the onboard batteries get recharged. Further, the test bench was implemented with a supervisory controller to optimize system performance and run each component in the most efficient region to achieve torque requirements programmed into mission profiles. The logic based controller operates with the ideal operating line (IOL) concept and is implemented with a custom LabView GUI.
The system is able to run on
electric power or ICE power interchangeably without making any modifications to the transmission as the one-way bearing assembly engages for whichever power source is rotating at the highest speed. The most impressive of these sets of tests is the Dash mode testing where the output torque of the propeller is supplied from both the EM and ICE. Working in tandem, it was proved that the EM was drawing 19.9A of current which corresponds to an estimated 0.57Nm additional torque to the propeller for a degree of hybridization of 49.91%. Finally, the regenerative braking mode was proven to be operational, capable of recharging the battery systems at 13A. All of these operating modes attest to the flexibility and convenience of having a
hybrid-
electric propulsion system.
The results collected from the test bench were validated against the models created in the aircraft simulation framework. This framework was created in MATLAB to simulate the performance of a small UAV and compare the performance by swapping in various propulsion systems.…
Advisors/Committee Members: Suleman, Afzal (supervisor).
Subjects/Keywords: hybrid-electric propulsion; hybrid vehicle; parallel hybrid configuration; unmanned aerial vehicle; parallel hybrid test bench; UAV
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APA (6th Edition):
Matlock, J. M. T. (2020). Evaluation of hybrid-electric propulsion systems for unmanned aerial vehicles. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/11484
Chicago Manual of Style (16th Edition):
Matlock, Jay Michael Todd. “Evaluation of hybrid-electric propulsion systems for unmanned aerial vehicles.” 2020. Masters Thesis, University of Victoria. Accessed March 07, 2021.
http://hdl.handle.net/1828/11484.
MLA Handbook (7th Edition):
Matlock, Jay Michael Todd. “Evaluation of hybrid-electric propulsion systems for unmanned aerial vehicles.” 2020. Web. 07 Mar 2021.
Vancouver:
Matlock JMT. Evaluation of hybrid-electric propulsion systems for unmanned aerial vehicles. [Internet] [Masters thesis]. University of Victoria; 2020. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/1828/11484.
Council of Science Editors:
Matlock JMT. Evaluation of hybrid-electric propulsion systems for unmanned aerial vehicles. [Masters Thesis]. University of Victoria; 2020. Available from: http://hdl.handle.net/1828/11484
Virginia Tech
18.
Gantt, Lynn Rupert.
Energy Losses for Propelling and Braking Conditions of an Electric Vehicle.
Degree: MS, Mechanical Engineering, 2011, Virginia Tech
URL: http://hdl.handle.net/10919/32879
► The market segment of hybrid-electric and full function electric vehicles is growing within the automotive transportation sector. While many papers exist concerning fuel economy or…
(more)
▼ The market segment of
hybrid-
electric and full function
electric vehicles is growing within the automotive transportation sector. While many papers exist concerning fuel economy or fuel consumption and the limitations of conventional powertrains, little published work is available for vehicles which use grid electricity as an energy source for propulsion. Generally, the emphasis is put solely on the average drive cycle efficiency for the
vehicle with very little thought given to propelling and braking powertrain losses for individual components. The modeling section of this paper will take basic energy loss equations for
vehicle speed and acceleration, along with component efficiency information to predict the grid energy consumption in AC Wh/km for a given drive cycle.
This paper explains how to calculate the forces experienced by a
vehicle while completing a drive cycle in three different ways: using
vehicle characteristics, United States Environmental Protection Agencyâ s (EPA) Dynamometer â targetâ coefficients, and an adaptation of the Sovran parameters. Once the
vehicle forces are determined, power and energy demands at the wheels are determined. The
vehicle power demands are split into propelling, braking, and idle to aide in the understanding of what it takes to move a
vehicle and to identify possible areas for improvement. Then, using component efficiency data for various parameters of interest, the energy consumption of the
vehicle as a pure EV is supplied in both DC (at the battery terminals) and AC (from the
electric grid) Wh/km. The energy that flows into and out of each component while the
vehicle is driving along with the losses at each step along the way of the energy path are detailed and explained. The final goal is to make the results of the model match the
vehicle for any driving schedule. Validation work is performed in order to take the model estimates for efficiencies and correlate them against real world data. By using the Virginia Tech Range Extended Crossover (VTREX) and collecting data from testing, the parameters that the model is based on will be correlated with real world test data. The paper presents a propelling, braking, and net energy weighted drive cycle averaged efficiency that can be used to calculate the losses for a given cycle. In understanding the losses at each component, not just the individual efficiency, areas for future
vehicle improvement can be identified to reduce petroleum energy use and greenhouse gases. The
electric range of the
vehicle factors heavily into the Utility Weighted fuel economy of a plug-in
hybrid electric vehicle, which will also be addressed.
Advisors/Committee Members: Nelson, Douglas J. (committeechair), West, Robert L. Jr. (committee member), Ellis, Michael W. (committee member).
Subjects/Keywords: Extended Range Electric Vehicle; Hybrid Vehicles; Energy Flow; Powertrain Losses; Electric Vehicle; Modeling
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APA (6th Edition):
Gantt, L. R. (2011). Energy Losses for Propelling and Braking Conditions of an Electric Vehicle. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/32879
Chicago Manual of Style (16th Edition):
Gantt, Lynn Rupert. “Energy Losses for Propelling and Braking Conditions of an Electric Vehicle.” 2011. Masters Thesis, Virginia Tech. Accessed March 07, 2021.
http://hdl.handle.net/10919/32879.
MLA Handbook (7th Edition):
Gantt, Lynn Rupert. “Energy Losses for Propelling and Braking Conditions of an Electric Vehicle.” 2011. Web. 07 Mar 2021.
Vancouver:
Gantt LR. Energy Losses for Propelling and Braking Conditions of an Electric Vehicle. [Internet] [Masters thesis]. Virginia Tech; 2011. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10919/32879.
Council of Science Editors:
Gantt LR. Energy Losses for Propelling and Braking Conditions of an Electric Vehicle. [Masters Thesis]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/32879
19.
Haubert, Tomáš.
Optimal Control Strategy of Hybrid Electric Vehicle
.
Degree: 2017, Czech University of Technology
URL: http://hdl.handle.net/10467/73523
► This thesis deals with the very progressive branch of the automotive industry, hybrid and electric vehicles. Based on the configuration the hybrid and electric vehicles…
(more)
▼ This thesis deals with the very
progressive branch of the automotive
industry,
hybrid and
electric vehicles.
Based on the configuration the
hybrid
and
electric vehicles are using an
electric
motor for the converting of the
electrical energy into the mechanical
energy, which is used for the
vehicle
moving. The main limit of these vehicles
especially pure
electric vehicles
is limited range. One way how to extend
the range is to add other battery
cells, which increases the price of the
vehicle, or to use optimization methods
in cooperation with advanced driver
assistance systems. The proposal of the
optimization method is the main goal
of this thesis. The results of the optimization
method are compared with
the real driving cycle made by äkoda
Rapid EV provided by äkoda auto a.s.
This thesis also deals with design of
control part of DC/DC power converter
for super-capacitor. Super-capacitors
can be used in the
hybrid and
electric
vehicles as a temporary storage of the
electrical energy if a recuperation is
needed
Advisors/Committee Members: Mindl, Pavel (advisor).
Subjects/Keywords: Hybrid Vehicle;
Electric Vehicle;
Driving Cycle Optimization;
Super-capacitor Charging and Discharging Control
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to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Haubert, T. (2017). Optimal Control Strategy of Hybrid Electric Vehicle
. (Thesis). Czech University of Technology. Retrieved from http://hdl.handle.net/10467/73523
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Haubert, Tomáš. “Optimal Control Strategy of Hybrid Electric Vehicle
.” 2017. Thesis, Czech University of Technology. Accessed March 07, 2021.
http://hdl.handle.net/10467/73523.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Haubert, Tomáš. “Optimal Control Strategy of Hybrid Electric Vehicle
.” 2017. Web. 07 Mar 2021.
Vancouver:
Haubert T. Optimal Control Strategy of Hybrid Electric Vehicle
. [Internet] [Thesis]. Czech University of Technology; 2017. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10467/73523.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Haubert T. Optimal Control Strategy of Hybrid Electric Vehicle
. [Thesis]. Czech University of Technology; 2017. Available from: http://hdl.handle.net/10467/73523
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Linköping University
20.
Bhikadiya, Ruchit Anilbhai.
Hybrid Vehicle Control Benchmark.
Degree: Vehicular Systems, 2020, Linköping University
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-171586
► The new emission regulations for new trucks was made to decrease the CO2 emissions by 30% from 2020 to 2030. One of the solutions is…
(more)
▼ The new emission regulations for new trucks was made to decrease the CO2 emissions by 30% from 2020 to 2030. One of the solutions is hybridizing the truck powertrain with 48V or 600V that can recover brake energy with electrical machines and batteries. The control of this hybrid powertrain is key to increase fuel efficiency. The idea behind this approach is to combine two different power sources, an internal combustion engine and a battery driven electric machine, and use both to provide tractive forces to the vehicle. This approach requires a HEV controller to operate the power flow within the systems. The HEV controller is the key to maximize fuel savings which contains an energy management strategy. It uses the knowledge of the road profile ahead by GPS and maps, and strongly interacts with the control of the cruise speed, automated gear shifts, powertrain modes and state of charge. In this master thesis, the dynamic programming strategy is used as predictive energy management for hybrid electric truck in forward- facing simulation environment. An analysis of predictive energy management is thus done for receding and full horizon length on flat and hilly drive cycle, where fuel consumption and recuperation energy will be regarded as the primary factor. Another important factor to consider is the powertrain mode of the vehicle with different penalty values. The result from horizon study indicates that the long receding horizon length has a benefit to store more recuperative energy. The fuel consumption is decreased for all drive cycle in the comparison with existing Volvo’s strategy.
Subjects/Keywords: Hybrid electric vehicle; Dynamic Programming; Powertrain Modes; Vehicle Engineering; Farkostteknik; Control Engineering; Reglerteknik
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Manager
APA (6th Edition):
Bhikadiya, R. A. (2020). Hybrid Vehicle Control Benchmark. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-171586
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Bhikadiya, Ruchit Anilbhai. “Hybrid Vehicle Control Benchmark.” 2020. Thesis, Linköping University. Accessed March 07, 2021.
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-171586.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Bhikadiya, Ruchit Anilbhai. “Hybrid Vehicle Control Benchmark.” 2020. Web. 07 Mar 2021.
Vancouver:
Bhikadiya RA. Hybrid Vehicle Control Benchmark. [Internet] [Thesis]. Linköping University; 2020. [cited 2021 Mar 07].
Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-171586.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Bhikadiya RA. Hybrid Vehicle Control Benchmark. [Thesis]. Linköping University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-171586
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
The Ohio State University
21.
Jiang, Siyu.
A Comparison of PSO, GA and PSO-GA Hybrid Algorithms for
Model-based Fuel Economy Optimization of a Hybrid-Electric
Vehicle.
Degree: MS, Mechanical Engineering, 2019, The Ohio State University
URL: http://rave.ohiolink.edu/etdc/view?acc_num=osu156612591067731
► The automotive industry is driving towards electrification. As the emission and fuel economy standards get more stringent, manufactures are electrifying their vehicle platforms by developing…
(more)
▼ The automotive industry is driving towards
electrification. As the emission and fuel economy standards get
more stringent, manufactures are electrifying their
vehicle
platforms by developing more
hybrid electric vehicles. Although new
technology boosts the fuel economy, it also brings new challenges.
One of them is that customers often find discrepancies between the
rated fuel economy number and the number they get during real world
operation. Therefore, there is a need to investigate the issue and
develop a new calibration process for optimizing the HEV fuel
economy over both certification and real-world operation. In this
research, a model-based calibration process is developed. The
process uses meta-heuristic algorithms to optimize five look-up
tables that are relevant to fuel economy of the HEV. Four different
meta-heuristic algorithms, namely PSO, GA and two hybrids, are
investigated and compared. It is found that PSO has reasonably good
performance and can deliver its performance consistently under
different conditions. Other algorithms may have better performance
under certain scenarios, but they are sensitive to constraints in
test problems and fail to get rational solutions in the real
problem. The research also investigates methods to reduce number of
parameters to optimize, the initialization of the optimization set
and ways to generate representative drive cycles based on
real-world driving data. The important thing is that these methods
are not
vehicle-specific and therefore can be migrated to
calibration of other HEVs easily.
Advisors/Committee Members: Rizzoni, Giorgio (Advisor).
Subjects/Keywords: Mechanical Engineering; Hybrid Electric Vehicle; Fuel Economy Optimization; Meta-heuristic algorithms; PSO; GA; Hybrid Algorithm
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APA ·
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Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Jiang, S. (2019). A Comparison of PSO, GA and PSO-GA Hybrid Algorithms for
Model-based Fuel Economy Optimization of a Hybrid-Electric
Vehicle. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu156612591067731
Chicago Manual of Style (16th Edition):
Jiang, Siyu. “A Comparison of PSO, GA and PSO-GA Hybrid Algorithms for
Model-based Fuel Economy Optimization of a Hybrid-Electric
Vehicle.” 2019. Masters Thesis, The Ohio State University. Accessed March 07, 2021.
http://rave.ohiolink.edu/etdc/view?acc_num=osu156612591067731.
MLA Handbook (7th Edition):
Jiang, Siyu. “A Comparison of PSO, GA and PSO-GA Hybrid Algorithms for
Model-based Fuel Economy Optimization of a Hybrid-Electric
Vehicle.” 2019. Web. 07 Mar 2021.
Vancouver:
Jiang S. A Comparison of PSO, GA and PSO-GA Hybrid Algorithms for
Model-based Fuel Economy Optimization of a Hybrid-Electric
Vehicle. [Internet] [Masters thesis]. The Ohio State University; 2019. [cited 2021 Mar 07].
Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu156612591067731.
Council of Science Editors:
Jiang S. A Comparison of PSO, GA and PSO-GA Hybrid Algorithms for
Model-based Fuel Economy Optimization of a Hybrid-Electric
Vehicle. [Masters Thesis]. The Ohio State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu156612591067731
NSYSU
22.
Hsu, Guo-fong.
Study on Electric Vehicle Charging Management by Network Flow Control Strategy.
Degree: Master, Communications Engineering, 2014, NSYSU
URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624114-092234
► Because of the rising awareness of environmental protection, the worldwide governments have proposed policies for enhancing the penetration of the plug-in electric vehicles (PEVs) to…
(more)
▼ Because of the rising awareness of environmental protection, the worldwide governments have proposed policies for enhancing the penetration of the plug-in
electric vehicles (PEVs) to reduce the carbon emissions. PEVs are expected to replace the fuel vehicles in the future. PEVs can be charged at home as users finish their daily job. However, the residential power load plus the PEVs charging load would go beyond the limitation of power grid. In this thesis, we apply the concept of additive increase and multiplicative decrease (AIMD) to develop three load management approaches in decentralized ways: First, we modulate the available power according to the varying electricity price. Second, we adjust the charging rate by using the congestion prices. Third, we introduce weight factor to decide charging priority for the load management. The weight factor of the PEV is function of the remaining charging time and the stopping time of the PEV. In order to get high priority in charging, users may submit the less stopping time against their consciences. For fairness purpose, we combine the PEV weight factor with a pricing policy so that those users who submit the false report cannot get any benefit.
Advisors/Committee Members: Tsang-Yi Wang (chair), Wan-Jen Huang (chair), Pang-An Ting (chair), Jung-Chieh Chen (chair), Chao-Kai Wen (committee member).
Subjects/Keywords: plug-in hybrid electric vehicle; charging; AIMD; decentralized algorithm; load management
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APA ·
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Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Hsu, G. (2014). Study on Electric Vehicle Charging Management by Network Flow Control Strategy. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624114-092234
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Hsu, Guo-fong. “Study on Electric Vehicle Charging Management by Network Flow Control Strategy.” 2014. Thesis, NSYSU. Accessed March 07, 2021.
http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624114-092234.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Hsu, Guo-fong. “Study on Electric Vehicle Charging Management by Network Flow Control Strategy.” 2014. Web. 07 Mar 2021.
Vancouver:
Hsu G. Study on Electric Vehicle Charging Management by Network Flow Control Strategy. [Internet] [Thesis]. NSYSU; 2014. [cited 2021 Mar 07].
Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624114-092234.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Hsu G. Study on Electric Vehicle Charging Management by Network Flow Control Strategy. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0624114-092234
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Texas A&M University
23.
Wang, Yang.
An Investigation of Optimal Design of Hybrid Electric Vehicle with a Starrotor Engine.
Degree: PhD, Electrical Engineering, 2015, Texas A&M University
URL: http://hdl.handle.net/1969.1/174217
► Fuel economy of conventional hybrid electric vehicles (HEVs) gets limited improvements because of constraints from conventional internal combustion engines (ICEs). Electric vehicles (EVs) have the…
(more)
▼ Fuel economy of conventional
hybrid electric vehicles (HEVs) gets limited improvements because of constraints from conventional internal combustion engines (ICEs).
Electric vehicles (EVs) have the disadvantage of requiring large battery packs onboard. To overcome these problems, an HEV with a StarRotor Engine to replace the conventional ICE as the main power plant, which allows for a small battery pack, is proposed. The goal of this research is to develop an optimal design for the StarRotor Engine–based
hybrid electric vehicle (SR–HEV) with minimal battery pack. The three most popular
hybrid electric drivetrains are parallel, series and series–parallel, and each is studied in this research. All of them are fully analyzed for the purpose of maximally enhancing fuel economy.
A dynamic programming algorithm for optimal control of a dynamic model is implemented. The optimal control associated with the energy management is solved explicitly for each virtual
hybrid electric drivetrain. The solution of the optimal control problem shows how optimal energy management strategies are derived. The same process is applied to conventional ICE HEVs to get the fuel economy to compare with SR–HEVs. The simulation indicates that the SR–HEVs can significantly increase
vehicle fuel economy, and a series-parallel
hybrid electric drivetrain with
electric variable transmission (EVT) can provide better fuel economy among those drivetrains. An optimal design methodology is also presented for SR-HEVs in regards to fuel economy. A parametric study shows that the appropriate gear ratios can further improve the fuel economy for the SR–HEV with EVT.
Advisors/Committee Members: Ehsani, Mehrdad (advisor), Holtzapple, Mark (committee member), Bhattacharyya , Shankar (committee member), Xie, Le (committee member).
Subjects/Keywords: Hybrid Electric Vehicle; Dynamic Programming; StarRotor engine; Optimal Design
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APA ·
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MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Wang, Y. (2015). An Investigation of Optimal Design of Hybrid Electric Vehicle with a Starrotor Engine. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174217
Chicago Manual of Style (16th Edition):
Wang, Yang. “An Investigation of Optimal Design of Hybrid Electric Vehicle with a Starrotor Engine.” 2015. Doctoral Dissertation, Texas A&M University. Accessed March 07, 2021.
http://hdl.handle.net/1969.1/174217.
MLA Handbook (7th Edition):
Wang, Yang. “An Investigation of Optimal Design of Hybrid Electric Vehicle with a Starrotor Engine.” 2015. Web. 07 Mar 2021.
Vancouver:
Wang Y. An Investigation of Optimal Design of Hybrid Electric Vehicle with a Starrotor Engine. [Internet] [Doctoral dissertation]. Texas A&M University; 2015. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/1969.1/174217.
Council of Science Editors:
Wang Y. An Investigation of Optimal Design of Hybrid Electric Vehicle with a Starrotor Engine. [Doctoral Dissertation]. Texas A&M University; 2015. Available from: http://hdl.handle.net/1969.1/174217
McMaster University
24.
Xu, Min.
Hybrid Electric Vehicle Powertrain Laboratory.
Degree: MASc, 2017, McMaster University
URL: http://hdl.handle.net/11375/22130
► Personal vehicles have made great contributions to our life and satisfy our daily mobility needs. However, they have also caused societal issues, such as air…
(more)
▼ Personal vehicles have made great contributions to our life and satisfy our daily mobility needs. However, they have also caused societal issues, such as air pollution and global warming. Further to the recent attention to low-carbon energy technologies and environmentally friendly mobility, hybrid electric vehicles play an important role in the current automotive industry. As a leading center and an educational institution in Canada, McMaster University wants to build a Hybrid Electric Vehicle Powertrain Laboratory for introducing undergraduate students to hybrid powertrain architectures, instrumentation and control.
A phased development of the hybrid powertrain teaching laboratory is being pursued. The first phase is to design a electric motor laboratory, as a platform for demonstrating motor characteristics. A LabVIEW based interface is designed to enable electric motor characterization tests. This laboratory set-up is still under construction. Real experiments would be implemented, once finishing the utility connections.
For the hybrid powertrain laboratory, an innovative design architecture is proposed to enable different hybrid architectures, such as series, parallel, and power-split modes to be investigated. Instead of a planetary gearbox, bevel gearboxes with a continuous variable transmission (CVT) are used for making the laboratory more compact and flexible for demonstrating hybrid functionalities. The additional generator provides the ability of input power-split for allowing the engine to operate at a narrow high efficiency region. After designing the hybrid laboratory, a novel rule-based energy management strategy is applied to a simplified simulation model.
Thesis
Master of Applied Science (MASc)
Advisors/Committee Members: Yan, Fengjun, Habibi, Saeid, Mechanical Engineering.
Subjects/Keywords: Hybrid Electric Vehicle; Powertrain Laboratory; Architecture Design; Energy Management Strategy
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APA (6th Edition):
Xu, M. (2017). Hybrid Electric Vehicle Powertrain Laboratory. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/22130
Chicago Manual of Style (16th Edition):
Xu, Min. “Hybrid Electric Vehicle Powertrain Laboratory.” 2017. Masters Thesis, McMaster University. Accessed March 07, 2021.
http://hdl.handle.net/11375/22130.
MLA Handbook (7th Edition):
Xu, Min. “Hybrid Electric Vehicle Powertrain Laboratory.” 2017. Web. 07 Mar 2021.
Vancouver:
Xu M. Hybrid Electric Vehicle Powertrain Laboratory. [Internet] [Masters thesis]. McMaster University; 2017. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/11375/22130.
Council of Science Editors:
Xu M. Hybrid Electric Vehicle Powertrain Laboratory. [Masters Thesis]. McMaster University; 2017. Available from: http://hdl.handle.net/11375/22130
Georgia Tech
25.
Schaich, Noah C.
Characterization of a hybrid electric mobility as a service vehicle.
Degree: MS, Mechanical Engineering, 2020, Georgia Tech
URL: http://hdl.handle.net/1853/62827
► This thesis focuses on work done during the first two years of the EcoCAR Mobility Challenge Competition. Georgia Tech is one of 12 schools participating…
(more)
▼ This thesis focuses on work done during the first two years of the EcoCAR Mobility Challenge Competition. Georgia Tech is one of 12 schools participating with the goal of building a
hybrid electric mobility-as-a-service
vehicle with SAE level 2 autonomy by the end of the four-year competition. The first year of the competition is focused on modeling and research to choose a
hybrid architecture that the team will build and refine during the next three years of the competition. A pre-built Simulink
vehicle model was modified to investigate architectures of interest, validated against published fuel economy data, and then used to compare the fuel economy of several possible
hybrid vehicle architectures with varying components. The Simulink model, packaging analyses, and other metrics deemed important by the team were used select a P0P4 parallel through-the-road
hybrid as the team’s
hybrid vehicle architecture. Year 2 of the competition focused on modifying the donor
vehicle, a 2019 Chevrolet Blazer, based on design decisions made during Year 1. The design, analysis, and integration of a mount for one of the vehicle’s
electric machines is detailed in this paper. A topology optimization software was used to refine the design of the mount and a finite element analysis was performed to ensure the mount could withstand competition required load cases. A similar process was used for the various other components that were designed and built by student team members during Year 2 of the competition. A brief overview of the vehicle’s low voltage (LV) electrical system and controller area network (CAN) is also discussed.
Advisors/Committee Members: Leamy, Michael (advisor), Cunefare, Kenneth A. (committee member), Taylor, David (committee member).
Subjects/Keywords: Hybrid electric vehicles; Mobility as a service; Vehicle modeling
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APA (6th Edition):
Schaich, N. C. (2020). Characterization of a hybrid electric mobility as a service vehicle. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62827
Chicago Manual of Style (16th Edition):
Schaich, Noah C. “Characterization of a hybrid electric mobility as a service vehicle.” 2020. Masters Thesis, Georgia Tech. Accessed March 07, 2021.
http://hdl.handle.net/1853/62827.
MLA Handbook (7th Edition):
Schaich, Noah C. “Characterization of a hybrid electric mobility as a service vehicle.” 2020. Web. 07 Mar 2021.
Vancouver:
Schaich NC. Characterization of a hybrid electric mobility as a service vehicle. [Internet] [Masters thesis]. Georgia Tech; 2020. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/1853/62827.
Council of Science Editors:
Schaich NC. Characterization of a hybrid electric mobility as a service vehicle. [Masters Thesis]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/62827
McMaster University
26.
Mak, Christopher.
18/12 Switched Reluctance Motor Design For A Mild-Hybrid Electric Powertrain Application.
Degree: MASc, 2020, McMaster University
URL: http://hdl.handle.net/11375/25708
► A novel belt alternator starter (BAS) is proposed to replace the starter and alternator in a hybrid electric vehicle. The BAS designed utilizes an 18…
(more)
▼ A novel belt alternator starter (BAS) is proposed to replace the starter and alternator in a hybrid electric vehicle. The BAS designed utilizes an 18 rotor, 12 stator pole switched reluctance machine (SRM) configuration, with concentrated bar windings wound in parallel. Through iteration of various machine geometry parameters, the SRM can meet the torque and speeds demands over standardized drive cycles described by the US Environmental Protection Agency.
With the depletion of oil wells and changing global climate, a large emphasis is placed on the research, development and adoption of electric vehicles (EVs) to replace vehicles driven by internal combustion engines (ICEs). However the global supply chain is still not ready for such a large demand in EVs; therefore hybrid electric vehicles (HEVs) aim to ease the transition between ICEs and EVs.
The research outlined in this thesis investigates the design of a 18 stator, 12 rotor pole (18/12) configuration switched reluctance machine (SRM) utilizing novel technologies for use as a belt alternator starter (BAS) motor in an HEV. Background research on current trends and technologies for electric motors and vehicles is performed before evaluating initial geometry for the motor core to be designed. Initial geometry is brought into JMAG to develop an electromagnetic model and begin the geometry optimization. The 18/12 design process highlights how changes to motor parameters from a geometry and winding standpoint will affect motor performance. After the motor core geometry yields suitable performance, a mechanical design is proposed encompassing the rotary assembly, cooling as well as solutions for mounting.
Thesis
Master of Applied Science (MASc)
Hybrid electric vehicles are becoming more prevalent as stricter restrictions are placed on fuel economy and emissions targets. Full electric vehicles on the other hand have not yet become the standard form of transportation due to the limits on range and infrastructure. Because of this, automotive manufacturers are researching and developing new methods in which they can meet these restrictions and limitations. Switched reluctance motors aim to be a solution to meet these demands while forging a new path by alleviating the demand on rare earth metals for the motor core. In this thesis, a design is proposed to fill an existing role in vehicle electrification best suited for a belted alternator starter.
Advisors/Committee Members: Emadi, Ali, Bilgin, Berker, Electrical Engineering.
Subjects/Keywords: Motor Design; Switched Reluctance Machine; Mild-Hybrid Electric Vehicle; Electromagnetic Design
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APA (6th Edition):
Mak, C. (2020). 18/12 Switched Reluctance Motor Design For A Mild-Hybrid Electric Powertrain Application. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/25708
Chicago Manual of Style (16th Edition):
Mak, Christopher. “18/12 Switched Reluctance Motor Design For A Mild-Hybrid Electric Powertrain Application.” 2020. Masters Thesis, McMaster University. Accessed March 07, 2021.
http://hdl.handle.net/11375/25708.
MLA Handbook (7th Edition):
Mak, Christopher. “18/12 Switched Reluctance Motor Design For A Mild-Hybrid Electric Powertrain Application.” 2020. Web. 07 Mar 2021.
Vancouver:
Mak C. 18/12 Switched Reluctance Motor Design For A Mild-Hybrid Electric Powertrain Application. [Internet] [Masters thesis]. McMaster University; 2020. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/11375/25708.
Council of Science Editors:
Mak C. 18/12 Switched Reluctance Motor Design For A Mild-Hybrid Electric Powertrain Application. [Masters Thesis]. McMaster University; 2020. Available from: http://hdl.handle.net/11375/25708
Colorado State University
27.
Fox, Matthew D.
Assessment, design and control strategy development of a fuel cell hybrid electric vehicle for CSU's ecocar.
Degree: MS(M.S.), Mechanical Engineering, 2013, Colorado State University
URL: http://hdl.handle.net/10217/79045
► Advanced automotive technology assessment and powertrain design are increasingly performed through modeling, simulation, and optimization. But technology assessments usually target many competing criteria making any…
(more)
▼ Advanced automotive technology assessment and powertrain design are increasingly performed through modeling, simulation, and optimization. But technology assessments usually target many competing criteria making any individual optimization challenging and arbitrary. Further, independent design simulations and optimizations take considerable time to execute, and design constraints and objectives change throughout the design process. Changes in design considerations usually require re-processing of simulations and more time. In this thesis, these challenges are confronted through CSUs participation in the EcoCAR2
hybrid vehicle design competition. The complexity of the competition's design objectives leveraged development of a decision support system tool to aid in multi-criteria decision making across technologies and to perform powertrain optimization. To make the decision support system interactive, and bypass the problem of long simulation times, a new approach was taken. The result of this research is CSU's architecture selection and component sizing, which optimizes a composite objective function representing the competition score. The selected architecture is an
electric vehicle with an onboard range extending hydrogen fuel cell system. The
vehicle has a 145kW traction motor, 18.9kWh of lithium ion battery, a 15kW fuel cell system, and 5kg of hydrogen storage capacity. Finally, a control strategy was developed that improves the vehicles performance throughout the driving range under variable driving conditions. In conclusion, the design process used in this research is reviewed and evaluated against other common design methodologies. I conclude, through the highlighted case studies, that the approach is more comprehensive than other popular design methodologies and is likely to lead to a higher quality product. The upfront modeling work and decision support system formulation will pay off in superior and timely knowledge transfer and more informed design decisions. The hypothesis is supported by the three case studies examined in this thesis.
Advisors/Committee Members: Bradley, Thomas H. (advisor), Labadie, John (committee member), Zimmerle, Dan (committee member).
Subjects/Keywords: decision support systems; vehicle design; systems analysis; hybrid electric vehicles
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APA (6th Edition):
Fox, M. D. (2013). Assessment, design and control strategy development of a fuel cell hybrid electric vehicle for CSU's ecocar. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/79045
Chicago Manual of Style (16th Edition):
Fox, Matthew D. “Assessment, design and control strategy development of a fuel cell hybrid electric vehicle for CSU's ecocar.” 2013. Masters Thesis, Colorado State University. Accessed March 07, 2021.
http://hdl.handle.net/10217/79045.
MLA Handbook (7th Edition):
Fox, Matthew D. “Assessment, design and control strategy development of a fuel cell hybrid electric vehicle for CSU's ecocar.” 2013. Web. 07 Mar 2021.
Vancouver:
Fox MD. Assessment, design and control strategy development of a fuel cell hybrid electric vehicle for CSU's ecocar. [Internet] [Masters thesis]. Colorado State University; 2013. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10217/79045.
Council of Science Editors:
Fox MD. Assessment, design and control strategy development of a fuel cell hybrid electric vehicle for CSU's ecocar. [Masters Thesis]. Colorado State University; 2013. Available from: http://hdl.handle.net/10217/79045
Colorado State University
28.
DiDomenico, Gabriel.
In-vehicle validation of energy consumption modeling and simulation.
Degree: MS(M.S.), Systems Engineering, 2020, Colorado State University
URL: http://hdl.handle.net/10217/208414
► The Colorado State University (CSU) Vehicle Innovation Team (VIT) participated in the first Department of Energy (DOE) Advanced Vehicle Technology Competitions (AVTC) in 1988. Since…
(more)
▼ The Colorado State University (CSU)
Vehicle Innovation Team (VIT) participated in the first Department of Energy (DOE) Advanced
Vehicle Technology Competitions (AVTC) in 1988. Since then, it has participated in the next iterations of the competition as well as other advanced
vehicle technology projects. This study aims to validate the team's mathematical modeling and simulation of electrical energy consumption of the EcoCAR 3 competition (academic years 2014-2018) as well as the testing methods used for validation. First, baseline simulation results are obtained by simulating a 0-60 mph wide open throttle (WOT, or 100% APP) acceleration event (AE) with the product being the electrical energy economy in Wh/mi. The baseline model (representing the baseline control strategy and
vehicle parameters) is also simulated for 0-40 mph and 0-20 mph AEs. These tests are replicated in the actual
vehicle, a 2016 P2 PHEV Chevrolet Camaro entirely designed and built by CSU's VIT. Next, the same AEs are again tested with a changed acceleration rate due to the APP being limited to 45%. The velocity profiles from these tests are used as feedback for the model and the tests are replicated in simulation. Finally, the baseline model is altered in 3 additional ways in order to understand their effect on electrical energy consumption: the mass is increased, then the auxiliary low voltage (LV) load is increased and then the transmission is restricted to only 1 gear. These simulations are again replicated in-
vehicle in order to validate the model's capability in predicting changes in electrical energy consumption as certain
vehicle parameters are changed. This study concludes that model is able to predict these changes within 6.5%, or ±30.2 Wh/mi with 95% confidence.
Advisors/Committee Members: Bradley, Thomas (advisor), Quinn, Jason (committee member), Pasricha, Sudeep (committee member).
Subjects/Keywords: hybrid electric vehicle; systems engineering; electrification; validation; simulation
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APA (6th Edition):
DiDomenico, G. (2020). In-vehicle validation of energy consumption modeling and simulation. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/208414
Chicago Manual of Style (16th Edition):
DiDomenico, Gabriel. “In-vehicle validation of energy consumption modeling and simulation.” 2020. Masters Thesis, Colorado State University. Accessed March 07, 2021.
http://hdl.handle.net/10217/208414.
MLA Handbook (7th Edition):
DiDomenico, Gabriel. “In-vehicle validation of energy consumption modeling and simulation.” 2020. Web. 07 Mar 2021.
Vancouver:
DiDomenico G. In-vehicle validation of energy consumption modeling and simulation. [Internet] [Masters thesis]. Colorado State University; 2020. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10217/208414.
Council of Science Editors:
DiDomenico G. In-vehicle validation of energy consumption modeling and simulation. [Masters Thesis]. Colorado State University; 2020. Available from: http://hdl.handle.net/10217/208414
Cranfield University
29.
Mohan, Ganesh.
A toolbox for multi-objective optimisation of low carbon powertrain topologies.
Degree: PhD, 2016, Cranfield University
URL: http://dspace.lib.cranfield.ac.uk/handle/1826/10292
► Stricter regulations and evolving environmental concerns have been exerting ever-increasing pressure on the automotive industry to produce low carbon vehicles that reduce emissions. As a…
(more)
▼ Stricter regulations and evolving environmental concerns have been exerting ever-increasing pressure on the automotive industry to produce low carbon vehicles that reduce emissions. As a result, increasing numbers of alternative powertrain architectures have been released into the marketplace to address this need. However, with a myriad of possible alternative powertrain configurations, which is the most appropriate type for a given vehicle class and duty cycle? To that end, comparative analyses of powertrain configurations have been widely carried out in literature; though such analyses only considered limited types of powertrain architectures at a time. Collating the results from these literature often produced findings that were discontinuous, which made it difficult for drawing conclusions when comparing multiple types of powertrains.
The aim of this research is to propose a novel methodology that can be used by practitioners to improve the methods for comparative analyses of different types of powertrain architectures. Contrary to what has been done so far, the proposed methodology combines an optimisation algorithm with a Modular Powertrain Structure that facilitates the simultaneous approach to optimising multiple types of powertrain architectures. The contribution to science is two-folds; presenting a methodology to simultaneously select a powertrain architecture and optimise its component sizes for a given cost function, and demonstrating the use of multi-objective optimisation for identifying trade-offs between cost functions by powertrain architecture selection.
Based on the results, the sizing of the powertrain components were influenced by the power and energy requirements of the drivecycle, whereas the powertrain architecture selection was mainly driven by the autonomy range requirements, vehicle mass constraints, CO2 emissions, and powertrain costs. For multi-objective optimisation, the creation of a 3-dimentional Pareto front showed multiple solution points for the different powertrain architectures, which was inherent from the ability of the methodology to concurrently evaluate those architectures. A diverging trend was observed on this front with the increase in the autonomy range, driven primarily by variation in powertrain cost per kilometre.
Additionally, there appeared to be a trade-off in terms of electric powertrain sizing between CO2 emissions and lowest mass. This was more evident at lower autonomy ranges, where the battery efficiency was a deciding factor for CO2 emissions.
The results have demonstrated the contribution of the proposed methodology in the area of multi-objective powertrain architecture optimisation, thus addressing the aims of this research.
Subjects/Keywords: Hybrid electric vehicle; genetic algorithm; scalable components; modular powertrain
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APA ·
Chicago ·
MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Mohan, G. (2016). A toolbox for multi-objective optimisation of low carbon powertrain topologies. (Doctoral Dissertation). Cranfield University. Retrieved from http://dspace.lib.cranfield.ac.uk/handle/1826/10292
Chicago Manual of Style (16th Edition):
Mohan, Ganesh. “A toolbox for multi-objective optimisation of low carbon powertrain topologies.” 2016. Doctoral Dissertation, Cranfield University. Accessed March 07, 2021.
http://dspace.lib.cranfield.ac.uk/handle/1826/10292.
MLA Handbook (7th Edition):
Mohan, Ganesh. “A toolbox for multi-objective optimisation of low carbon powertrain topologies.” 2016. Web. 07 Mar 2021.
Vancouver:
Mohan G. A toolbox for multi-objective optimisation of low carbon powertrain topologies. [Internet] [Doctoral dissertation]. Cranfield University; 2016. [cited 2021 Mar 07].
Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/10292.
Council of Science Editors:
Mohan G. A toolbox for multi-objective optimisation of low carbon powertrain topologies. [Doctoral Dissertation]. Cranfield University; 2016. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/10292
Cranfield University
30.
Mohan, Ganesh.
A toolbox for multi-objective optimisation of low carbon powertrain topologies.
Degree: PhD, 2016, Cranfield University
URL: http://dspace.lib.cranfield.ac.uk/handle/1826/10292
;
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.691038
► Stricter regulations and evolving environmental concerns have been exerting ever-increasing pressure on the automotive industry to produce low carbon vehicles that reduce emissions. As a…
(more)
▼ Stricter regulations and evolving environmental concerns have been exerting ever-increasing pressure on the automotive industry to produce low carbon vehicles that reduce emissions. As a result, increasing numbers of alternative powertrain architectures have been released into the marketplace to address this need. However, with a myriad of possible alternative powertrain configurations, which is the most appropriate type for a given vehicle class and duty cycle? To that end, comparative analyses of powertrain configurations have been widely carried out in literature; though such analyses only considered limited types of powertrain architectures at a time. Collating the results from these literature often produced findings that were discontinuous, which made it difficult for drawing conclusions when comparing multiple types of powertrains. The aim of this research is to propose a novel methodology that can be used by practitioners to improve the methods for comparative analyses of different types of powertrain architectures. Contrary to what has been done so far, the proposed methodology combines an optimisation algorithm with a Modular Powertrain Structure that facilitates the simultaneous approach to optimising multiple types of powertrain architectures. The contribution to science is two-folds; presenting a methodology to simultaneously select a powertrain architecture and optimise its component sizes for a given cost function, and demonstrating the use of multi-objective optimisation for identifying trade-offs between cost functions by powertrain architecture selection. Based on the results, the sizing of the powertrain components were influenced by the power and energy requirements of the drivecycle, whereas the powertrain architecture selection was mainly driven by the autonomy range requirements, vehicle mass constraints, CO2 emissions, and powertrain costs. For multi-objective optimisation, the creation of a 3-dimentional Pareto front showed multiple solution points for the different powertrain architectures, which was inherent from the ability of the methodology to concurrently evaluate those architectures. A diverging trend was observed on this front with the increase in the autonomy range, driven primarily by variation in powertrain cost per kilometre. Additionally, there appeared to be a trade-off in terms of electric powertrain sizing between CO2 emissions and lowest mass. This was more evident at lower autonomy ranges, where the battery efficiency was a deciding factor for CO2 emissions. The results have demonstrated the contribution of the proposed methodology in the area of multi-objective powertrain architecture optimisation, thus addressing the aims of this research.
Subjects/Keywords: 629.22; Hybrid electric vehicle; genetic algorithm; scalable components; modular powertrain
Record Details
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Record Details
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Cite
« Share
❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Mohan, G. (2016). A toolbox for multi-objective optimisation of low carbon powertrain topologies. (Doctoral Dissertation). Cranfield University. Retrieved from http://dspace.lib.cranfield.ac.uk/handle/1826/10292 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.691038
Chicago Manual of Style (16th Edition):
Mohan, Ganesh. “A toolbox for multi-objective optimisation of low carbon powertrain topologies.” 2016. Doctoral Dissertation, Cranfield University. Accessed March 07, 2021.
http://dspace.lib.cranfield.ac.uk/handle/1826/10292 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.691038.
MLA Handbook (7th Edition):
Mohan, Ganesh. “A toolbox for multi-objective optimisation of low carbon powertrain topologies.” 2016. Web. 07 Mar 2021.
Vancouver:
Mohan G. A toolbox for multi-objective optimisation of low carbon powertrain topologies. [Internet] [Doctoral dissertation]. Cranfield University; 2016. [cited 2021 Mar 07].
Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/10292 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.691038.
Council of Science Editors:
Mohan G. A toolbox for multi-objective optimisation of low carbon powertrain topologies. [Doctoral Dissertation]. Cranfield University; 2016. Available from: http://dspace.lib.cranfield.ac.uk/handle/1826/10292 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.691038
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Open Access Theses and Dissertations