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You searched for subject:(lumped capacity model). Showing records 1 – 2 of 2 total matches.

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The Ohio State University

1. Cordoba Arenas, Andrea Carolina. Aging Propagation Modeling and State-of-Health Assessment in Advanced Battery Systems.

Degree: PhD, Mechanical Engineering, 2013, The Ohio State University

A crucial step towards the large-scale introduction of plug-in hybrid electric vehicles (PHEVs) in the market is to reduce the cost of their energy storage systems. One of the goals of U.S Department of Energy (DOE) Vehicle Technologies Program for hybrid electric systems is to, by 2014, reduce the production cost of Li-ion batteries by nearly 70 percent from 2009 costs. Currently, battery cycle- and calendar-life represents one of the greatest uncertainties in the total life-cycle cost of advanced energy storage devices. Batteries are inherently subject to aging. Aging is the reduction in performance, availability, reliability, and life span of a system or component. The generation of long-term predictions describing the evolution of the aging in time for the purpose of predicting the Remaining Useful Life (RUL) of a system may be understood as Prognosis. The field of battery prognosis has seen progress with respect to model based and data driven algorithms to model aging and estimate RUL of battery cells. However, in advanced battery systems, cells are interconnected and aging propagates. The aging propagation from one cell to others exhibits itself in a reduced system life. Propagation of aging has a profound effect on the accuracy of battery systems state of health (SOH) assessment and prognosis. This thesis proposes a systematic methodology for modeling the propagation of aging in advanced battery systems. The modeling approach is such that it is able to predict battery pack aging, thermal, and electrical dynamics under actual PHEV operation, and includes consideration of random variability of the cells, electrical topology and thermal management. The modeling approach is based on the interaction between dynamic system models and dynamic models of aging propagation. The system level SOH is assessed based on knowledge of individual cells SOH, electrical topology and voltage equalization approach. The proposed methodology is used to develop a computational model-based design tool that can assist in the evaluation of trade-offs between, performance, manufacturing quality, system complexity, battery management approach, and life-cycle. The tool may be used for verification and validation of control algorithms such as estimation and identification, in particular for battery management systems including health management. The proposed methodology constitutes the first steps towards an integrated system design with 'a priori' consideration of health management. Advisors/Committee Members: Rizzoni, Giorgio (Advisor), Onori, Simona (Advisor).

Subjects/Keywords: Mechanical Engineering; Lithium-ion battery pack; PHEV vehicles; System cycle-life prognosis; Capacity and power fade; NMC-LMO cathode; Aging modeling; Cell-to-cell variations; Equivalent circuit model; Lumped-capacitance thermal model

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Cordoba Arenas, A. C. (2013). Aging Propagation Modeling and State-of-Health Assessment in Advanced Battery Systems. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1385967836

Chicago Manual of Style (16th Edition):

Cordoba Arenas, Andrea Carolina. “Aging Propagation Modeling and State-of-Health Assessment in Advanced Battery Systems.” 2013. Doctoral Dissertation, The Ohio State University. Accessed January 18, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=osu1385967836.

MLA Handbook (7th Edition):

Cordoba Arenas, Andrea Carolina. “Aging Propagation Modeling and State-of-Health Assessment in Advanced Battery Systems.” 2013. Web. 18 Jan 2021.

Vancouver:

Cordoba Arenas AC. Aging Propagation Modeling and State-of-Health Assessment in Advanced Battery Systems. [Internet] [Doctoral dissertation]. The Ohio State University; 2013. [cited 2021 Jan 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1385967836.

Council of Science Editors:

Cordoba Arenas AC. Aging Propagation Modeling and State-of-Health Assessment in Advanced Battery Systems. [Doctoral Dissertation]. The Ohio State University; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1385967836

2. Arding, Karin. Making grid capacity available through heat pump control.

Degree: Engineering Sciences, 2019, Uppsala University

In this report the problem of constructing a bus depot with electrical buses despite the lack of grid capacity, was analyzed. A potential solution is investigated, namely smart control of heat pumps in industries. The possibility of allocating grid capacity to the bus depot by reducing power consumption in heat pumps during peak hours, is taken into consideration. The maximum amount of released capacity in an industrial area is calculated through the controlling of heat pumps. This investigation was made through simulations with a simplified building energy model (lumped capacity model) which was applied to a reference building. After mapping the area Boländerna and the geothermal wells located there, IKEA Uppsala was chosen as the reference building, since a third of the total number of wells were found in that area. To take the whole capacity of Boländerna into account, the model was scaled up to estimate the total, possible reduction of power. The bus depot requires 6 MW nighttime and 4 MW daytime, the total amount of electrical power that could be withdrawn, if all heat pumps were on maximum heat, in the chosen area were 0.75 MW and by controlling the heat pumps during an optimized level, the amount of 142 kW could be made available to the electric grid. 142 kW is not enough cover the need for the bus depot but it could supply the need for a slow charger to one of the buses and is therefore a possible sub-solution to the larger problem.

Subjects/Keywords: Grid; capacity; electricity; Uppsala; IKEA; peak shaving; electric bus; bus depot; lumped capacity model; Region Uppsala; Energy Systems; Energisystem

…meter of the wells (Björk, E, 2013, p. 12). 3.4 Lumped capacity model When… …The 11 model was thereafter used in order to see how much grid capacity that potentially… …pump capacity and to set fundamental parameters in the building model. These values are shown… …capacity model for the building, a few estimations were made. The base consumption and the… …around 40 % of their maximum capacity. 5.4 Validation of the model The electric consumption of… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Arding, K. (2019). Making grid capacity available through heat pump control. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-384182

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):

Arding, Karin. “Making grid capacity available through heat pump control.” 2019. Thesis, Uppsala University. Accessed January 18, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-384182.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Arding, Karin. “Making grid capacity available through heat pump control.” 2019. Web. 18 Jan 2021.

Vancouver:

Arding K. Making grid capacity available through heat pump control. [Internet] [Thesis]. Uppsala University; 2019. [cited 2021 Jan 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-384182.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Arding K. Making grid capacity available through heat pump control. [Thesis]. Uppsala University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-384182

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

.