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    Aging Effect–Aware Finite Element Model and Parameter Identification Method of Lithium-Ion Battery 

    Source: Journal of Electrochemical Energy Conversion and Storage:;2022:;volume( 020 ):;issue: 003:;page 31005-1
    Author(s): Tian, Aina; Yang, Chen; Gao, Yang; Jiang, Yan; Chang, Chun; Wang, Lujun; Jiang, Jiuchun
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Battery aging is an inevitable macroscopic phenomenon in the use of the battery, which is characterized by capacity decline and power reduction. If the charging and discharging strategy does not adjust with the aging state, ...
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    Short-Circuit Fault Detection and Quantitative Analysis Based on Mean-Difference Model With Variational Modal Decomposition 

    Source: Journal of Electrochemical Energy Conversion and Storage:;2023:;volume( 021 ):;issue: 002:;page 21007-1
    Author(s): Chang, Chun; Wang, Zile; Zhang, Zhen; Jiang, Jiuchun; He, Xing; Tian, Aina; Jiang, Yan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Short-circuit failure is one of the triggers for thermal runaway of lithium-ion batteries, which can lead to serious safety issues. This paper attempts to estimate the short-circuit resistance of the cell using the mean ...
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    Aging Effect–Aware Finite Element Model and Parameter Identification Method of LithiumIon Battery 

    Source: Journal of Electrochemical Energy Conversion and Storage:;2022:;volume( 020 ):;issue: 003:;page 31005
    Author(s): Tian, Aina;Yang, Chen;Gao, Yang;Jiang, Yan;Chang, Chun;Wang, Lujun;Jiang, Jiuchun
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Battery aging is an inevitable macroscopic phenomenon in the use of the battery, which is characterized by capacity decline and power reduction. If the charging and discharging strategy does not adjust with the aging state, ...
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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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