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Data-driven Battery Health State Estimation Based on WPT and SSA Optimization
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Jieming Huang, Xiaorong Huang, Qingbo Zhang, Wei Lin, Shuping Wu, Junjie Luo
Journal of Power Supply | 2026, 24(5) : 256 - 264
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Journal of Power Supply | 2026, 24(5): 256-264
• AI and Power Electronics •
Data-driven Battery Health State Estimation Based on WPT and SSA Optimization
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Jieming Huang, Xiaorong Huang, Qingbo Zhang, Wei Lin, Shuping Wu, Junjie Luo
Affiliations
  • Dongguan Power Supply Bureau of Guangdong Power Grid Co., Ltd., Dongguan 523009, China
Published: 2026-05-30 doi: 10.13234/j.issn.2095-2805.2026.5.256
Outline
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The state of health (SOH) of Li-ion batteries gradually decreases with the number of charges and discharges, whose features are hidden in the physical information such as battery current and voltage. A data-driven method based on wavelet packet transform (WPT) and sparrow search algorithm (SSA) is proposed for online estimation of SOH, and the feature indices of discharge voltage plateau time (DVPT) and constant current charging time (CCCT) are proposed. The algorithm is verified on the University of Maryland battery public dataset. The results show that the proposed DVPT characteristic metric has a strong correlation with SOH, with an average Pearson correlation coefficient of 98.38% across the four batteries; the model predicted the optimal results with RMSE of 0.019 1, MAE of 0.012 5, and R2 of 97.78%.

Lithium battery  /  state of health  /  data-driven  /  sparrow search algorithm
黄杰明, 黄小荣, 张庆波, 林炜, 吴树平, 罗俊杰. 基于WPT与SSA优化的数据驱动电池健康状态估计. 电源学报, 2026 , 24 (5) : 256 -264 . DOI: 10.13234/j.issn.2095-2805.2026.5.256
Jieming Huang, Xiaorong Huang, Qingbo Zhang, Wei Lin, Shuping Wu, Junjie Luo. Data-driven Battery Health State Estimation Based on WPT and SSA Optimization[J]. Journal of Power Supply, 2026 , 24 (5) : 256 -264 . DOI: 10.13234/j.issn.2095-2805.2026.5.256
Funding
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  • Science and Technology Program of China Southern Power Grid(031900KK52220011)
Appendix
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Year 2026 volume 24 Issue 5
44
11
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Article Info
doi: 10.13234/j.issn.2095-2805.2026.5.256
  • Receive Date：2023-03-07
  • Online Date：2026-10-29
  • Published：2026-05-30
Article Data
Affiliations
History
  • Received：2023-03-07
  • Revised：2023-08-26
  • Accepted：2023-11-21
Funding
Science and Technology Program of China Southern Power Grid(031900KK52220011)
Affiliations
    Dongguan Power Supply Bureau of Guangdong Power Grid Co., Ltd., Dongguan 523009, China
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