A Novel State of Charge Estimation Algorithm for Lithium-Ion Battery Packs of Electric Vehicles
This paper focuses on state of charge (SOC) estimation for the battery packs of electric vehicles (EVs). By modeling a battery based on the equivalent circuit model (ECM), the adaptive extended Kalman filter (AEKF) method can be applied to estimate the battery cell SOC. By adaptively setting differe...
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-09-01
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| Series: | Energies |
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| Online Access: | http://www.mdpi.com/1996-1073/9/9/710 |
| _version_ | 1811280757764653056 |
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| author | Zheng Chen Xiaoyu Li Jiangwei Shen Wensheng Yan Renxin Xiao |
| author_facet | Zheng Chen Xiaoyu Li Jiangwei Shen Wensheng Yan Renxin Xiao |
| author_sort | Zheng Chen |
| collection | DOAJ |
| description | This paper focuses on state of charge (SOC) estimation for the battery packs of electric vehicles (EVs). By modeling a battery based on the equivalent circuit model (ECM), the adaptive extended Kalman filter (AEKF) method can be applied to estimate the battery cell SOC. By adaptively setting different weighed coefficients, a battery pack SOC estimation algorithm is established based on the single cell estimation. The proposed method can not only precisely estimate the battery pack SOC, but also effectively prevent the battery pack from overcharge and over-discharge, thus providing safe operation. Experiment results verify the feasibility of the proposed algorithm. |
| first_indexed | 2024-04-13T01:20:32Z |
| format | Article |
| id | doaj.art-f36a832eab4c4fefa620cca2cadd450a |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-04-13T01:20:32Z |
| publishDate | 2016-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-f36a832eab4c4fefa620cca2cadd450a2022-12-22T03:08:48ZengMDPI AGEnergies1996-10732016-09-019971010.3390/en9090710en9090710A Novel State of Charge Estimation Algorithm for Lithium-Ion Battery Packs of Electric VehiclesZheng Chen0Xiaoyu Li1Jiangwei Shen2Wensheng Yan3Renxin Xiao4Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500, ChinaFaculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500, ChinaFaculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500, ChinaFaculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500, ChinaFaculty of Transportation Engineering, Kunming University of Science and Technology, Kunming 650500, ChinaThis paper focuses on state of charge (SOC) estimation for the battery packs of electric vehicles (EVs). By modeling a battery based on the equivalent circuit model (ECM), the adaptive extended Kalman filter (AEKF) method can be applied to estimate the battery cell SOC. By adaptively setting different weighed coefficients, a battery pack SOC estimation algorithm is established based on the single cell estimation. The proposed method can not only precisely estimate the battery pack SOC, but also effectively prevent the battery pack from overcharge and over-discharge, thus providing safe operation. Experiment results verify the feasibility of the proposed algorithm.http://www.mdpi.com/1996-1073/9/9/710adaptive extended Kalman filter (AEKF)electric vehicle (EV)state of charge (SOC)weighed coefficients |
| spellingShingle | Zheng Chen Xiaoyu Li Jiangwei Shen Wensheng Yan Renxin Xiao A Novel State of Charge Estimation Algorithm for Lithium-Ion Battery Packs of Electric Vehicles Energies adaptive extended Kalman filter (AEKF) electric vehicle (EV) state of charge (SOC) weighed coefficients |
| title | A Novel State of Charge Estimation Algorithm for Lithium-Ion Battery Packs of Electric Vehicles |
| title_full | A Novel State of Charge Estimation Algorithm for Lithium-Ion Battery Packs of Electric Vehicles |
| title_fullStr | A Novel State of Charge Estimation Algorithm for Lithium-Ion Battery Packs of Electric Vehicles |
| title_full_unstemmed | A Novel State of Charge Estimation Algorithm for Lithium-Ion Battery Packs of Electric Vehicles |
| title_short | A Novel State of Charge Estimation Algorithm for Lithium-Ion Battery Packs of Electric Vehicles |
| title_sort | novel state of charge estimation algorithm for lithium ion battery packs of electric vehicles |
| topic | adaptive extended Kalman filter (AEKF) electric vehicle (EV) state of charge (SOC) weighed coefficients |
| url | http://www.mdpi.com/1996-1073/9/9/710 |
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