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You searched for subject:(SOH estimation). Showing records 1 – 9 of 9 total matches.

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NSYSU

1. Liang, Yi-Min. On-line State-of-Health Estimation for LiFePO4 Battery.

Degree: Master, Electrical Engineering, 2016, NSYSU

 The demand of batteries for electric vehicle (EV) and Energy Storage System (ESS) is increasing. After battery has been used for a long time, the… (more)

Subjects/Keywords: Artificial Neural Network; SOH Estimation; LiFePO4 Battery; State-of-Health

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APA (6th Edition):

Liang, Y. (2016). On-line State-of-Health Estimation for LiFePO4 Battery. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0726116-160207

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):

Liang, Yi-Min. “On-line State-of-Health Estimation for LiFePO4 Battery.” 2016. Thesis, NSYSU. Accessed September 26, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0726116-160207.

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

MLA Handbook (7th Edition):

Liang, Yi-Min. “On-line State-of-Health Estimation for LiFePO4 Battery.” 2016. Web. 26 Sep 2020.

Vancouver:

Liang Y. On-line State-of-Health Estimation for LiFePO4 Battery. [Internet] [Thesis]. NSYSU; 2016. [cited 2020 Sep 26]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0726116-160207.

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

Council of Science Editors:

Liang Y. On-line State-of-Health Estimation for LiFePO4 Battery. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0726116-160207

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


University of Toledo

2. Zhu, Wei. A Smart Battery Management System for Large Format Lithium Ion Cells.

Degree: PhD, College of Engineering, 2011, University of Toledo

  Because of their advantages of no memory effect, relatively long lifetime, and high energy density, lithium ion batteries have now become one of the… (more)

Subjects/Keywords: Electrical Engineering; lithium-ion; battery mangement system(BMS); weak cell identification; SOC/SOH/SOL estimation

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APA (6th Edition):

Zhu, W. (2011). A Smart Battery Management System for Large Format Lithium Ion Cells. (Doctoral Dissertation). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1301687506

Chicago Manual of Style (16th Edition):

Zhu, Wei. “A Smart Battery Management System for Large Format Lithium Ion Cells.” 2011. Doctoral Dissertation, University of Toledo. Accessed September 26, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1301687506.

MLA Handbook (7th Edition):

Zhu, Wei. “A Smart Battery Management System for Large Format Lithium Ion Cells.” 2011. Web. 26 Sep 2020.

Vancouver:

Zhu W. A Smart Battery Management System for Large Format Lithium Ion Cells. [Internet] [Doctoral dissertation]. University of Toledo; 2011. [cited 2020 Sep 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1301687506.

Council of Science Editors:

Zhu W. A Smart Battery Management System for Large Format Lithium Ion Cells. [Doctoral Dissertation]. University of Toledo; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1301687506


Penn State University

3. Shen, Zheng. Control-Oriented Modeling, State-Of-Charge, State-Of-Health, And Parameter Estimation Of Batteries.

Degree: 2013, Penn State University

 Batteries are excellent energy storage devices for many applications, such as renewable energy consumer electronics, smart grids, Hybrid Electric Vehicles (HEVs), and Electric Vehicles (EVs).… (more)

Subjects/Keywords: Battery; Ritz Method; State-Of-Charge (SOC); State-Of-Health (SOH); Parameter Estimation; Solid Phase Diffusivity

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APA (6th Edition):

Shen, Z. (2013). Control-Oriented Modeling, State-Of-Charge, State-Of-Health, And Parameter Estimation Of Batteries. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/18774

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):

Shen, Zheng. “Control-Oriented Modeling, State-Of-Charge, State-Of-Health, And Parameter Estimation Of Batteries.” 2013. Thesis, Penn State University. Accessed September 26, 2020. https://submit-etda.libraries.psu.edu/catalog/18774.

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

MLA Handbook (7th Edition):

Shen, Zheng. “Control-Oriented Modeling, State-Of-Charge, State-Of-Health, And Parameter Estimation Of Batteries.” 2013. Web. 26 Sep 2020.

Vancouver:

Shen Z. Control-Oriented Modeling, State-Of-Charge, State-Of-Health, And Parameter Estimation Of Batteries. [Internet] [Thesis]. Penn State University; 2013. [cited 2020 Sep 26]. Available from: https://submit-etda.libraries.psu.edu/catalog/18774.

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

Council of Science Editors:

Shen Z. Control-Oriented Modeling, State-Of-Charge, State-Of-Health, And Parameter Estimation Of Batteries. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/18774

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


Penn State University

4. Li, Yue. ADAPTIVE INFORMATION EXTRACTION FROM COMPLEX SYSTEMS VIA SYMBOLIC TIME SERIES ANALYSIS.

Degree: 2016, Penn State University

 This dissertation represents a framework for adaptive information extraction from complex systems via symbolic time series analysis (STSA). The key idea for STSA is to… (more)

Subjects/Keywords: Symbolic time series analysis; Hidden Markov modeling; Pattern recognition; Finite-state Automaton; Information Fusion; Sensor Networks; Battery SOC estimation; Battery SOH estimation; Recursive Bayes Filter; Image processing

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

APA (6th Edition):

Li, Y. (2016). ADAPTIVE INFORMATION EXTRACTION FROM COMPLEX SYSTEMS VIA SYMBOLIC TIME SERIES ANALYSIS. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/kd17cs845

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):

Li, Yue. “ADAPTIVE INFORMATION EXTRACTION FROM COMPLEX SYSTEMS VIA SYMBOLIC TIME SERIES ANALYSIS.” 2016. Thesis, Penn State University. Accessed September 26, 2020. https://submit-etda.libraries.psu.edu/catalog/kd17cs845.

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

MLA Handbook (7th Edition):

Li, Yue. “ADAPTIVE INFORMATION EXTRACTION FROM COMPLEX SYSTEMS VIA SYMBOLIC TIME SERIES ANALYSIS.” 2016. Web. 26 Sep 2020.

Vancouver:

Li Y. ADAPTIVE INFORMATION EXTRACTION FROM COMPLEX SYSTEMS VIA SYMBOLIC TIME SERIES ANALYSIS. [Internet] [Thesis]. Penn State University; 2016. [cited 2020 Sep 26]. Available from: https://submit-etda.libraries.psu.edu/catalog/kd17cs845.

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

Council of Science Editors:

Li Y. ADAPTIVE INFORMATION EXTRACTION FROM COMPLEX SYSTEMS VIA SYMBOLIC TIME SERIES ANALYSIS. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/kd17cs845

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


Université de Lorraine

5. Renaudineau, Hugues. Hybrid Renewable Energy Sourced System : Energy Management & Self-Diagnosis : Source hybride d'énergie renouvelable : Gestion de l'énergie & auto-diagnostic.

Degree: Docteur es, Génie électrique, 2013, Université de Lorraine

Cette thèse a pour but le développement d'une source photovoltaïque autonome ayant des capacités d'auto-diagnostic. Un structure d'hybridation spécifique est proposée consistant en une hybridation… (more)

Subjects/Keywords: Estimation de paramètres; État de santé des batteries; Management de l'énergie; MPPT Photovoltaïque; Observateur d'état; Battery SOH; Energy Management; Parameter Estimation; Photovoltaic MPPT; State-Observers; 621.042; 621.47; 621.312 44

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APA (6th Edition):

Renaudineau, H. (2013). Hybrid Renewable Energy Sourced System : Energy Management & Self-Diagnosis : Source hybride d'énergie renouvelable : Gestion de l'énergie & auto-diagnostic. (Doctoral Dissertation). Université de Lorraine. Retrieved from http://www.theses.fr/2013LORR0336

Chicago Manual of Style (16th Edition):

Renaudineau, Hugues. “Hybrid Renewable Energy Sourced System : Energy Management & Self-Diagnosis : Source hybride d'énergie renouvelable : Gestion de l'énergie & auto-diagnostic.” 2013. Doctoral Dissertation, Université de Lorraine. Accessed September 26, 2020. http://www.theses.fr/2013LORR0336.

MLA Handbook (7th Edition):

Renaudineau, Hugues. “Hybrid Renewable Energy Sourced System : Energy Management & Self-Diagnosis : Source hybride d'énergie renouvelable : Gestion de l'énergie & auto-diagnostic.” 2013. Web. 26 Sep 2020.

Vancouver:

Renaudineau H. Hybrid Renewable Energy Sourced System : Energy Management & Self-Diagnosis : Source hybride d'énergie renouvelable : Gestion de l'énergie & auto-diagnostic. [Internet] [Doctoral dissertation]. Université de Lorraine; 2013. [cited 2020 Sep 26]. Available from: http://www.theses.fr/2013LORR0336.

Council of Science Editors:

Renaudineau H. Hybrid Renewable Energy Sourced System : Energy Management & Self-Diagnosis : Source hybride d'énergie renouvelable : Gestion de l'énergie & auto-diagnostic. [Doctoral Dissertation]. Université de Lorraine; 2013. Available from: http://www.theses.fr/2013LORR0336

6. Zhang, Yuanci. Performance and ageing quantification of electrochemical energy storage elements for aeronautical usage : Evaluation des performances et du vieillissement des éléments de stockage d’énergie électrochimiques pour l’usage aéronautique.

Degree: Docteur es, Électronique, 2019, Bordeaux

Dans un contexte de progression du stockage d’énergie sous forme électrochimique dans les transports, notamment dans l’aéronautique, les problématiques de performance, de fiabilité, de sureté… (more)

Subjects/Keywords: Batteries lithium; Supercondensateurs; Lithium-ion capacitors; Performance; Basse température; Vieillissement calendaire; Cyclage actif; Tests abusifs; Modèle électro-thermique; Ragone non-isotherme; Loi de vieillissement; Estimation de SOH; Capacité incrémentale; Profil aéronautique; Lithium batteries; Supercapacitors; Lithium-ion capacitors; Performance; Low temperatures; Calendar ageing; Power cycling; Abuse testing; Electro-thermal model; Non-isothermal Ragone plot; Ageing laws; SOH estimation; Incremental capacity; Aeronautical profile

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

APA (6th Edition):

Zhang, Y. (2019). Performance and ageing quantification of electrochemical energy storage elements for aeronautical usage : Evaluation des performances et du vieillissement des éléments de stockage d’énergie électrochimiques pour l’usage aéronautique. (Doctoral Dissertation). Bordeaux. Retrieved from http://www.theses.fr/2019BORD0029

Chicago Manual of Style (16th Edition):

Zhang, Yuanci. “Performance and ageing quantification of electrochemical energy storage elements for aeronautical usage : Evaluation des performances et du vieillissement des éléments de stockage d’énergie électrochimiques pour l’usage aéronautique.” 2019. Doctoral Dissertation, Bordeaux. Accessed September 26, 2020. http://www.theses.fr/2019BORD0029.

MLA Handbook (7th Edition):

Zhang, Yuanci. “Performance and ageing quantification of electrochemical energy storage elements for aeronautical usage : Evaluation des performances et du vieillissement des éléments de stockage d’énergie électrochimiques pour l’usage aéronautique.” 2019. Web. 26 Sep 2020.

Vancouver:

Zhang Y. Performance and ageing quantification of electrochemical energy storage elements for aeronautical usage : Evaluation des performances et du vieillissement des éléments de stockage d’énergie électrochimiques pour l’usage aéronautique. [Internet] [Doctoral dissertation]. Bordeaux; 2019. [cited 2020 Sep 26]. Available from: http://www.theses.fr/2019BORD0029.

Council of Science Editors:

Zhang Y. Performance and ageing quantification of electrochemical energy storage elements for aeronautical usage : Evaluation des performances et du vieillissement des éléments de stockage d’énergie électrochimiques pour l’usage aéronautique. [Doctoral Dissertation]. Bordeaux; 2019. Available from: http://www.theses.fr/2019BORD0029


McMaster University

7. Ahmed, Ryan. Modeling and State of Charge Estimation of Electric Vehicle Batteries.

Degree: PhD, 2014, McMaster University

 Electric vehicles have received substantial attention in the past few years since they provide a more sustainable, efficient, and greener transportation alternative in comparison to… (more)

Subjects/Keywords: Lithium-Ion Batteries; electrochemical battery model; Battery management systems (BMS); genetic algorithm optimization; parameter identification; state of charge estimation; interacting multiple models (IMM); state of charge (SOC); state of health (SOH); filtration

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APA (6th Edition):

Ahmed, R. (2014). Modeling and State of Charge Estimation of Electric Vehicle Batteries. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/16436

Chicago Manual of Style (16th Edition):

Ahmed, Ryan. “Modeling and State of Charge Estimation of Electric Vehicle Batteries.” 2014. Doctoral Dissertation, McMaster University. Accessed September 26, 2020. http://hdl.handle.net/11375/16436.

MLA Handbook (7th Edition):

Ahmed, Ryan. “Modeling and State of Charge Estimation of Electric Vehicle Batteries.” 2014. Web. 26 Sep 2020.

Vancouver:

Ahmed R. Modeling and State of Charge Estimation of Electric Vehicle Batteries. [Internet] [Doctoral dissertation]. McMaster University; 2014. [cited 2020 Sep 26]. Available from: http://hdl.handle.net/11375/16436.

Council of Science Editors:

Ahmed R. Modeling and State of Charge Estimation of Electric Vehicle Batteries. [Doctoral Dissertation]. McMaster University; 2014. Available from: http://hdl.handle.net/11375/16436


Wright State University

8. Farfan-Ramos, Luis. Real-time Fault Diagnosis of Automotive Electrical Power Generation and Storage System.

Degree: MSEgr, Electrical Engineering, 2011, Wright State University

 Automobiles depend more and more on electric power. Analysis of warranty data by automotive OEMs shows that faults in the automotive electrical power generation and… (more)

Subjects/Keywords: Automotive Engineering; Electrical Engineering; Energy; Engineering; Technology; automotive; vehicular; electric; power; generation; storage; EPGS; real time; state of health; SOH; diagnosis; prognosis; fault; detection; isolation; model; parameter estimation; alternator; battery; belt

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APA (6th Edition):

Farfan-Ramos, L. (2011). Real-time Fault Diagnosis of Automotive Electrical Power Generation and Storage System. (Masters Thesis). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1303129393

Chicago Manual of Style (16th Edition):

Farfan-Ramos, Luis. “Real-time Fault Diagnosis of Automotive Electrical Power Generation and Storage System.” 2011. Masters Thesis, Wright State University. Accessed September 26, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1303129393.

MLA Handbook (7th Edition):

Farfan-Ramos, Luis. “Real-time Fault Diagnosis of Automotive Electrical Power Generation and Storage System.” 2011. Web. 26 Sep 2020.

Vancouver:

Farfan-Ramos L. Real-time Fault Diagnosis of Automotive Electrical Power Generation and Storage System. [Internet] [Masters thesis]. Wright State University; 2011. [cited 2020 Sep 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1303129393.

Council of Science Editors:

Farfan-Ramos L. Real-time Fault Diagnosis of Automotive Electrical Power Generation and Storage System. [Masters Thesis]. Wright State University; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1303129393


University of Technology, Sydney

9. Zhang, Lei. Modelling and state-of-charge estimation for ultracapacitors in electric vehicles.

Degree: 2016, University of Technology, Sydney

 In order to cope with the global challenges like fossil fuel depletion and environmental pollution, electrified vehicles (EVs) have been widely accepted as an enabling… (more)

Subjects/Keywords: Environmental pollution.; Electrified vehicles (EVs).; Environment-friendly operation.; Excellent control flexibility.; Energy storage system (ESS).; Li-ion batteries.; Electric double-layer capacitors (EDLCs).; Hybrid energy storage system (HESS).; State-of-Charge (SOC) estimation.; Hybrid Pulse Power Characterization (HPPC) test data.; Dynamic Stress Test (DST) test.; Extended Kalman Filter (EKF).; Federal Urban Driving Schedule (FUDS) test.; Battery state-of-health (SOH) model.; Self-designed pulse (SDP) test.

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

APA (6th Edition):

Zhang, L. (2016). Modelling and state-of-charge estimation for ultracapacitors in electric vehicles. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/62381

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):

Zhang, Lei. “Modelling and state-of-charge estimation for ultracapacitors in electric vehicles.” 2016. Thesis, University of Technology, Sydney. Accessed September 26, 2020. http://hdl.handle.net/10453/62381.

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

MLA Handbook (7th Edition):

Zhang, Lei. “Modelling and state-of-charge estimation for ultracapacitors in electric vehicles.” 2016. Web. 26 Sep 2020.

Vancouver:

Zhang L. Modelling and state-of-charge estimation for ultracapacitors in electric vehicles. [Internet] [Thesis]. University of Technology, Sydney; 2016. [cited 2020 Sep 26]. Available from: http://hdl.handle.net/10453/62381.

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

Council of Science Editors:

Zhang L. Modelling and state-of-charge estimation for ultracapacitors in electric vehicles. [Thesis]. University of Technology, Sydney; 2016. Available from: http://hdl.handle.net/10453/62381

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

.