锂(药物)
介电谱
材料科学
电镀(地质)
磷酸铁锂
多收费
电化学
电极
分析化学(期刊)
化学
电池(电)
功率(物理)
热力学
色谱法
内分泌学
物理化学
地质学
物理
医学
地球物理学
作者
Chao Lyu,Tong Liu,Qi Wu,Di Zhao,Gang Wei,Yaming Ge
出处
期刊:2019 International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)
日期:2021-08-13
卷期号:: 174-179
被引量:2
标识
DOI:10.1109/sdpc52933.2021.9563618
摘要
Lithium-ion batteries (LIBs) have many advantages, such as high energy density, no memory effect, long cycle life, etc., and are widely used in energy, automobile, consumer electronics and other industries. In unreasonable conditions such as overcharge, high power rate and low temperature, the LIBs will make lithium ions deposit in the form of lithium metal on the surface of the negative electrode. This phenomenon is often called lithium plating. In this paper, accelerated lithium plating experiments are designed for LIBs. Detection and quantification of lithium plating were carried out based on electrochemical method under different lithium plating degrees. The electrochemical impedance spectra (EIS) of lithium-ion batteries with different degrees of lithium plating were measured, and the characteristic parameters of the EIS were extracted, and the correlation between the characteristic parameters of the EIS and the quantified degree of lithium plating was analyzed. Then, a BP neural network was used to analyze the error and verify the validity of the quantified amount of lithium.
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