A Systematic Framework for Battery Performance Estimation Considering Model and Parameter Uncertainties
Up to date, model and parameter uncertainties are generally overlooked by majority of researchers in the field of battery diagnostics and prognostics. As a consequence, accuracy of the battery performance estimation is dominated by the model fidelity and may vary from cell-to-cell. This paper propos...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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The Prognostics and Health Management Society
2014-06-01
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| Series: | International Journal of Prognostics and Health Management |
| Subjects: | |
| Online Access: | https://papers.phmsociety.org/index.php/ijphm/article/view/2210 |
| _version_ | 1818690211624779776 |
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| author | Rong Jing Zhimin Xi Xiao Guang Yang Ed Decker |
| author_facet | Rong Jing Zhimin Xi Xiao Guang Yang Ed Decker |
| author_sort | Rong Jing |
| collection | DOAJ |
| description | Up to date, model and parameter uncertainties are generally overlooked by majority of researchers in the field of battery diagnostics and prognostics. As a consequence, accuracy of the battery performance estimation is dominated by the model fidelity and may vary from cell-to-cell. This paper proposes a systematic framework to quantify battery model and parameter uncertainties for more effective battery performance estimation. Such a framework is generally applicable for estimating various battery performances of interest (e.g. state of charge (SOC), capacity, and power capability). Case studies for battery SOC estimation are conducted to demonstrate the effectiveness of the proposed framework. |
| first_indexed | 2024-12-17T12:22:24Z |
| format | Article |
| id | doaj.art-484ced8b7f8849939b423314e5f47313 |
| institution | Directory Open Access Journal |
| issn | 2153-2648 2153-2648 |
| language | English |
| last_indexed | 2024-12-17T12:22:24Z |
| publishDate | 2014-06-01 |
| publisher | The Prognostics and Health Management Society |
| record_format | Article |
| series | International Journal of Prognostics and Health Management |
| spelling | doaj.art-484ced8b7f8849939b423314e5f473132022-12-21T21:48:54ZengThe Prognostics and Health Management SocietyInternational Journal of Prognostics and Health Management2153-26482153-26482014-06-0152doi:10.36001/ijphm.2014.v5i2.2210A Systematic Framework for Battery Performance Estimation Considering Model and Parameter UncertaintiesRong Jing0Zhimin Xi1Xiao Guang Yang2Ed Decker3University of Michigan - Dearborn, Dearborn, MI, 48128, USAUniversity of Michigan - Dearborn, Dearborn, MI, 48128, USAFord Motor Company, Dearborn, MI, 48121, USAFord Motor Company, Dearborn, MI, 48121, USAUp to date, model and parameter uncertainties are generally overlooked by majority of researchers in the field of battery diagnostics and prognostics. As a consequence, accuracy of the battery performance estimation is dominated by the model fidelity and may vary from cell-to-cell. This paper proposes a systematic framework to quantify battery model and parameter uncertainties for more effective battery performance estimation. Such a framework is generally applicable for estimating various battery performances of interest (e.g. state of charge (SOC), capacity, and power capability). Case studies for battery SOC estimation are conducted to demonstrate the effectiveness of the proposed framework.https://papers.phmsociety.org/index.php/ijphm/article/view/2210extended kalman filterbattery socmodel uncertaintyparameter uncertaintybattery diagnostics |
| spellingShingle | Rong Jing Zhimin Xi Xiao Guang Yang Ed Decker A Systematic Framework for Battery Performance Estimation Considering Model and Parameter Uncertainties International Journal of Prognostics and Health Management extended kalman filter battery soc model uncertainty parameter uncertainty battery diagnostics |
| title | A Systematic Framework for Battery Performance Estimation Considering Model and Parameter Uncertainties |
| title_full | A Systematic Framework for Battery Performance Estimation Considering Model and Parameter Uncertainties |
| title_fullStr | A Systematic Framework for Battery Performance Estimation Considering Model and Parameter Uncertainties |
| title_full_unstemmed | A Systematic Framework for Battery Performance Estimation Considering Model and Parameter Uncertainties |
| title_short | A Systematic Framework for Battery Performance Estimation Considering Model and Parameter Uncertainties |
| title_sort | systematic framework for battery performance estimation considering model and parameter uncertainties |
| topic | extended kalman filter battery soc model uncertainty parameter uncertainty battery diagnostics |
| url | https://papers.phmsociety.org/index.php/ijphm/article/view/2210 |
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