Gao, Jingyi and Li, Ping and Yan, Yisu and Guo, Mengjie and Wang, Kai (2022) State-of-Health Estimation of Lithium-ion Battery Based on Data-driven. In: Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China.
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Abstract
With the increase of the output of electric vehicles, it is of great significance to predict the health status of lithium-ion batteries for the safe operation of electric vehicles. In this paper, some common data-driven methods for health state estimation of lithium-ion batteries are reviewed. First
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 15:44 |
| Last Modified: | 17 Apr 2026 04:56 |
| URI: | http://eprints.eai.eu/id/eprint/40591 |
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