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    Mechanical Behavior and Failure Prediction of Cylindrical Lithium-Ion Batteries Under Mechanical Abuse Using Data-Driven Machine Learning 

    Source: Journal of Applied Mechanics:;2024:;volume( 092 ):;issue: 002:;page 21003-1
    Author(s): Zhang, Xin-chun; Gu, Li-rong; Yin, Xiao-di; Huang, Zi-xuan; Ci, Tie-jun; Rao, Li-xiang; Wang, Qing-long; El-Rich, Marwan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Mechanical failure prediction of lithium-ion batteries (LIBs) can provide important maintenance information and decision-making reference in battery safety management. However, the complexity of the internal structure of ...
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