离子
锂(药物)
算法
材料科学
电镀(地质)
熵(时间箭头)
计算机科学
化学
热力学
物理
医学
有机化学
地球物理学
内分泌学
作者
Yingjie Chen,Huaqin Zhang,Jichao Hong,Yankai Hou,Jingsong Yang,Chi Zhang,Shikun Ma,Xinyang Zhang,Haixu Yang,Fengwei Liang,Kerui Li
出处
期刊:Energy
[Elsevier]
日期:2024-05-01
卷期号:: 131574-131574
标识
DOI:10.1016/j.energy.2024.131574
摘要
Lithium plating is an important causation leading to capacity loss and thermal runaway of lithium-ion batteries. A detection method and alarm strategy of abnormal lithium plating can mitigate the risk form lithium plating. This paper presents a comprehensive and stable detection method for abnormal lithium plating based on variance entropy. An overvoltage-induced lithium plating experiment has been conduction on a 19-series lithium-ion battery pack, and the abnormal lithium plating was detected by the electrochemical characteristics and variance entropy. The variance entropy can analyze the subtle voltage inconsistencies of cells and first detect abnormal cells in Cycle 13. By comparing the electrochemical characteristics and variance entropy values, the effective application conditions of variance entropy were summarized. Moreover, the variance entropy and voltage platform were combined to extend the application condition and improve the stability. This research can provide the basis for the stable and robust detection method of abnormal lithium plating.
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