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Review of Data-driven Remaining Useful Life Prediction for Lithium-ion Batteries
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Yin LI  Member, CPSS1, 2, Jianfeng WANG1, 2, Weiquan MO1, Xili ZHANG1, 2
Journal of Power Supply | 2025, 23(7) : 253 - 265
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Journal of Power Supply | 2025, 23(7): 253-265
• Battery and Energy Storage •
Review of Data-driven Remaining Useful Life Prediction for Lithium-ion Batteries
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Yin LI  Member, CPSS1, 2, Jianfeng WANG1, 2, Weiquan MO1, Xili ZHANG1, 2
Affiliations
  • 1.College of Sciences, China Jiliang University, Hangzhou 310018, China
  • 2.Key Laboratory of Intelligent Manufacturing Quality Big Data Tracing and Analysis of Zhejiang Province, Hangzhou 310018, China
Published: 2025-11-30 doi: 10.13234/j.issn.2095-2805.2025.7.253
Outline
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Accurately predicting the remaining useful life (RUL) of lithium-ion batteries is critical to the safe and reliable operation of new energy vehicles. First, the research status of data-driven methods for predicting the RUL of lithium-ion batteries is analyzed in this paper, and the research progress in six commonly used data-driven methods is reviewed. Then, three problems existing in the practical applications of RUL prediction of lithium-ion batteries at present are summarized. At the same time, the issue of battery dataset collection is discussed comprehensively, and the importance of battery datasets to the development of data-driven methods is also elaborated upon. Finally, the development trend in the future is prospected.

Lithium-ion battery  /  remaining useful life (RUL) prediction  /  capacity regeneration  /  battery dataset
李银中国电源学会会员, 王建峰, 莫伟权, 张西丽. 基于数据驱动的锂离子电池剩余寿命预测综述. 电源学报, 2025 , 23 (7) : 253 -265 . DOI: 10.13234/j.issn.2095-2805.2025.7.253
Yin LI, Jianfeng WANG, Weiquan MO, Xili ZHANG. Review of Data-driven Remaining Useful Life Prediction for Lithium-ion Batteries[J]. Journal of Power Supply, 2025 , 23 (7) : 253 -265 . DOI: 10.13234/j.issn.2095-2805.2025.7.253
Funding
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  • National Natural Science Foundation of China(11504356)
  • Natural Science Foundation of Zhejiang Province(LY19A040006)
Appendix
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Year 2025 volume 23 Issue 7
62
8
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Article Info
doi: 10.13234/j.issn.2095-2805.2025.7.253
  • Receive Date：2022-11-24
  • Online Date：2026-10-26
  • Published：2025-11-30
Article Data
Affiliations
History
  • Received：2022-11-24
  • Revised：2023-04-10
  • Accepted：2023-05-15
Funding
National Natural Science Foundation of China(11504356)
Natural Science Foundation of Zhejiang Province(LY19A040006)
Affiliations
    1.College of Sciences, China Jiliang University, Hangzhou 310018, China
    2.Key Laboratory of Intelligent Manufacturing Quality Big Data Tracing and Analysis of Zhejiang Province, Hangzhou 310018, China
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表12种不同金属材料的力学参数
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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