Early-cycle life prediction of mechanically damaged lithium-ion batteries via multi-physics features and machine learning

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DOI:10.1016/j.apenergy.2026.128860
作者：Honggang Li,?Chaojing Wu,?Yang Zhang,?Yongzhi Zhang,?Yongjun Pan,?Binghe Liu
文献类型：期刊论文
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Abstract：Lithium-ion batteries are susceptible to mechanical damage during actual service, which accelerates degradation and poses a long-term safety risk. Accurate prediction of the service life of

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