Capacity Estimation of Serial Lithium-ion Battery Pack Using Dynamic Time Warping Algorithm
The existence of the consistency degradation of the battery pack hinders the accurate estimation of pack capacity and cell capacity in the battery pack. The paper focuses on the capacity estimation of cells in the serial battery pack. The shape invariance of the charging voltage curve is discussed a...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/8915839/ |
| _version_ | 1818855482749616128 |
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| author | Yang Liu Caiping Zhang Jiuchun Jiang Yan Jiang Linjing Zhang Weige Zhang |
| author_facet | Yang Liu Caiping Zhang Jiuchun Jiang Yan Jiang Linjing Zhang Weige Zhang |
| author_sort | Yang Liu |
| collection | DOAJ |
| description | The existence of the consistency degradation of the battery pack hinders the accurate estimation of pack capacity and cell capacity in the battery pack. The paper focuses on the capacity estimation of cells in the serial battery pack. The shape invariance of the charging voltage curve is discussed and used as the theoretical foundation of cell capacity difference identification. The matching relationship between two voltage curves is obtained based on the dynamic time warping algorithm. Then the capacity difference identification algorithm to calculate the capacity difference between the two cells is proposed. Based on the algorithm, a three-step capacity estimation method is established. The proposed method can only use the previous charging curve of one cell in the pack and the current charging data of the battery pack to rapidly estimate the capacity of each cell in the battery pack. A 16 serial LiFePO<sub>4</sub> battery pack is employed to verify the method. The result shows the estimation error of cell capacities is less than 3% rated capacity. With this method, the cell capacities in the pack can be rapidly and accurately estimated, providing a foundation for the consistency analysis and equalization of the battery pack. |
| first_indexed | 2024-12-19T08:09:19Z |
| format | Article |
| id | doaj.art-b299dc73cd9d40ec98dd580ca5aeff89 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-19T08:09:19Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-b299dc73cd9d40ec98dd580ca5aeff892022-12-21T20:29:40ZengIEEEIEEE Access2169-35362019-01-01717468717469810.1109/ACCESS.2019.29563268915839Capacity Estimation of Serial Lithium-ion Battery Pack Using Dynamic Time Warping AlgorithmYang Liu0https://orcid.org/0000-0003-2517-1837Caiping Zhang1https://orcid.org/0000-0003-4089-5323Jiuchun Jiang2https://orcid.org/0000-0003-4682-9191Yan Jiang3https://orcid.org/0000-0001-8928-772XLinjing Zhang4https://orcid.org/0000-0001-8162-4584Weige Zhang5https://orcid.org/0000-0002-7838-0352National Active Distribution Network Technology Research Center, Beijing Jiaotong University, Beijing, ChinaNational Active Distribution Network Technology Research Center, Beijing Jiaotong University, Beijing, ChinaNational Active Distribution Network Technology Research Center, Beijing Jiaotong University, Beijing, ChinaNational Active Distribution Network Technology Research Center, Beijing Jiaotong University, Beijing, ChinaNational Active Distribution Network Technology Research Center, Beijing Jiaotong University, Beijing, ChinaNational Active Distribution Network Technology Research Center, Beijing Jiaotong University, Beijing, ChinaThe existence of the consistency degradation of the battery pack hinders the accurate estimation of pack capacity and cell capacity in the battery pack. The paper focuses on the capacity estimation of cells in the serial battery pack. The shape invariance of the charging voltage curve is discussed and used as the theoretical foundation of cell capacity difference identification. The matching relationship between two voltage curves is obtained based on the dynamic time warping algorithm. Then the capacity difference identification algorithm to calculate the capacity difference between the two cells is proposed. Based on the algorithm, a three-step capacity estimation method is established. The proposed method can only use the previous charging curve of one cell in the pack and the current charging data of the battery pack to rapidly estimate the capacity of each cell in the battery pack. A 16 serial LiFePO<sub>4</sub> battery pack is employed to verify the method. The result shows the estimation error of cell capacities is less than 3% rated capacity. With this method, the cell capacities in the pack can be rapidly and accurately estimated, providing a foundation for the consistency analysis and equalization of the battery pack.https://ieeexplore.ieee.org/document/8915839/Charging voltage curvedynamic time warping algorithmcapacity estimationlithium-ion battery pack |
| spellingShingle | Yang Liu Caiping Zhang Jiuchun Jiang Yan Jiang Linjing Zhang Weige Zhang Capacity Estimation of Serial Lithium-ion Battery Pack Using Dynamic Time Warping Algorithm IEEE Access Charging voltage curve dynamic time warping algorithm capacity estimation lithium-ion battery pack |
| title | Capacity Estimation of Serial Lithium-ion Battery Pack Using Dynamic Time Warping Algorithm |
| title_full | Capacity Estimation of Serial Lithium-ion Battery Pack Using Dynamic Time Warping Algorithm |
| title_fullStr | Capacity Estimation of Serial Lithium-ion Battery Pack Using Dynamic Time Warping Algorithm |
| title_full_unstemmed | Capacity Estimation of Serial Lithium-ion Battery Pack Using Dynamic Time Warping Algorithm |
| title_short | Capacity Estimation of Serial Lithium-ion Battery Pack Using Dynamic Time Warping Algorithm |
| title_sort | capacity estimation of serial lithium ion battery pack using dynamic time warping algorithm |
| topic | Charging voltage curve dynamic time warping algorithm capacity estimation lithium-ion battery pack |
| url | https://ieeexplore.ieee.org/document/8915839/ |
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