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    A Fault Diagnosis Method for Lithium Batteries Based on Optimal Variational Modal Decomposition and Dimensionless Feature Parameters 

    Source: Journal of Electrochemical Energy Conversion and Storage:;2022:;volume( 020 ):;issue: 003:;page 31004
    Author(s): Chang, Chun;Tao, Chen;Wang, Shaojin;Zhang, Ruhang;Tian, Aina;Jiang, Jiuchun
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Due to the frequent occurrence of electric vehicles safety accidents caused by battery system failures, in order to ensure the normal operation of the vehicle, it is crucial to do a fault diagnosis of the electric vehicle ...
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    Lithium-Ion Battery State of Health Estimation Based on Electrochemical Impedance Spectroscopy and Cuckoo Search Algorithm Optimized Elman Neural Network 

    Source: Journal of Electrochemical Energy Conversion and Storage:;2022:;volume( 019 ):;issue: 003:;page 30912-1
    Author(s): Chang, Chun; Wang, Shaojin; Jiang, Jiuchun; Gao, Yang; Jiang, Yan; Liao, Li
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In order to ensure the driving safety of electric vehicles and avoid potential failures, it is important to properly estimate the state of health (SOH) of lithium-ion batteries. In this paper, a method of lithium-ion battery ...
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