Performance evaluation strategy for battery pack of electric vehicles: Online estimation and offline evaluation
Electric vehicles are powered by battery packs, which are usually composed of hundreds of units in series or in parallel. For power battery pack performance evaluation, many literatures have been published, including online performance assessment, life prediction and offline performance evaluation....
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-07-01
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| Series: | Energy Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352484722002736 |
| _version_ | 1811308448880525312 |
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| author | Lin Hu Yao Ye Ying Bo Jing Huang Qingtao Tian Xiaojian Yi Qiqi Li |
| author_facet | Lin Hu Yao Ye Ying Bo Jing Huang Qingtao Tian Xiaojian Yi Qiqi Li |
| author_sort | Lin Hu |
| collection | DOAJ |
| description | Electric vehicles are powered by battery packs, which are usually composed of hundreds of units in series or in parallel. For power battery pack performance evaluation, many literatures have been published, including online performance assessment, life prediction and offline performance evaluation. Nevertheless, performance evaluation strategies that include both online and offline have not attracted sufficient attention. In this paper, we propose a performance evaluation method based on MCPE-DEKF, which can solve the problem of consistency analysis and sort of battery cells offline, as well as, implementing battery pack state estimation online. MCPE-DEKF is designed to enhanced the accuracy and adaptability for power battery pack SOC estimation. The pack SOC online estimation value from cells means model and the standard deviation of SOC estimation are combined with MCPE to determine their aggregation weights. An offline evaluation framework for cells grading and sorting problem is solved by MCPE methods. As the results show that, the RMSE of the online estimation for the battery pack is less than 2% and 7 mV for the SOC and the terminal voltage, respectively. The RMSE of the cell estimation is less than 0.3% and 6 mV, respectively. In terms of offline evaluation approaches for cells, we propose an approach with a fusion method to improve the reliability of sorting by integrating method 1 and method 4 (the second-best sorting method). |
| first_indexed | 2024-04-13T09:23:19Z |
| format | Article |
| id | doaj.art-6420b03ed5884802a77e19ad5e649d1b |
| institution | Directory Open Access Journal |
| issn | 2352-4847 |
| language | English |
| last_indexed | 2024-04-13T09:23:19Z |
| publishDate | 2022-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Energy Reports |
| spelling | doaj.art-6420b03ed5884802a77e19ad5e649d1b2022-12-22T02:52:32ZengElsevierEnergy Reports2352-48472022-07-018774784Performance evaluation strategy for battery pack of electric vehicles: Online estimation and offline evaluationLin Hu0Yao Ye1Ying Bo2Jing Huang3Qingtao Tian4Xiaojian Yi5Qiqi Li6School of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha, ChinaSchool of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha, ChinaChina Society of Automotive Engineers, Beijing, ChinaState Key Laboratory of Advanced Design and Manufacture for Vehicle Body, Hunan University, Changsha, ChinaSchool of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha, ChinaSchool of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha, ChinaSchool of Automotive and Mechanical Engineering, Changsha University of Science and Technology, Changsha, China; Corresponding author.Electric vehicles are powered by battery packs, which are usually composed of hundreds of units in series or in parallel. For power battery pack performance evaluation, many literatures have been published, including online performance assessment, life prediction and offline performance evaluation. Nevertheless, performance evaluation strategies that include both online and offline have not attracted sufficient attention. In this paper, we propose a performance evaluation method based on MCPE-DEKF, which can solve the problem of consistency analysis and sort of battery cells offline, as well as, implementing battery pack state estimation online. MCPE-DEKF is designed to enhanced the accuracy and adaptability for power battery pack SOC estimation. The pack SOC online estimation value from cells means model and the standard deviation of SOC estimation are combined with MCPE to determine their aggregation weights. An offline evaluation framework for cells grading and sorting problem is solved by MCPE methods. As the results show that, the RMSE of the online estimation for the battery pack is less than 2% and 7 mV for the SOC and the terminal voltage, respectively. The RMSE of the cell estimation is less than 0.3% and 6 mV, respectively. In terms of offline evaluation approaches for cells, we propose an approach with a fusion method to improve the reliability of sorting by integrating method 1 and method 4 (the second-best sorting method).http://www.sciencedirect.com/science/article/pii/S2352484722002736Battery pack evaluation strategySOC estimationCells sorting |
| spellingShingle | Lin Hu Yao Ye Ying Bo Jing Huang Qingtao Tian Xiaojian Yi Qiqi Li Performance evaluation strategy for battery pack of electric vehicles: Online estimation and offline evaluation Energy Reports Battery pack evaluation strategy SOC estimation Cells sorting |
| title | Performance evaluation strategy for battery pack of electric vehicles: Online estimation and offline evaluation |
| title_full | Performance evaluation strategy for battery pack of electric vehicles: Online estimation and offline evaluation |
| title_fullStr | Performance evaluation strategy for battery pack of electric vehicles: Online estimation and offline evaluation |
| title_full_unstemmed | Performance evaluation strategy for battery pack of electric vehicles: Online estimation and offline evaluation |
| title_short | Performance evaluation strategy for battery pack of electric vehicles: Online estimation and offline evaluation |
| title_sort | performance evaluation strategy for battery pack of electric vehicles online estimation and offline evaluation |
| topic | Battery pack evaluation strategy SOC estimation Cells sorting |
| url | http://www.sciencedirect.com/science/article/pii/S2352484722002736 |
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