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锂离子电池寿命预测参数的实验研究
Experimental study on life prediction parameters of lithium-ion batteries
投稿时间:2025-01-18  修订日期:2025-03-28
DOI:
中文关键词:  阻抗演化分析  声发射  力学损伤  寿命预测参数  锂离子电池
英文关键词:Analysis of impedance evolution  Acoustic emission  Mechanical damage  Life prediction parameters  Lithium-ion battery
基金项目:国家自然科学基金(12021002, 12472183, 12041201, 12425203)
作者单位邮编
张子龙 天津大学 300350
谢海妹* 天津大学 300350
宋海滨 北京经纬恒润科技股份有限公司 100191
张茜 天津大学 300350
仇巍 天津大学 300350
王毅泽 天津大学 300350
亢一澜 天津大学 300350
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中文摘要:
      精确预测锂离子电池寿命对于保障设备用电安全至关重要,本文针对电池寿命预测中的间接参数选取这一关键环节开展实验研究。设计了电池充放电循环、电化学阻抗和声发射一体化实验方案,获得了容量、阻抗和损伤随循环圈数的非线性演化规律。分析了电荷转移阻抗RCT和固态电解质界面膜阻抗RSEI通过影响电池内部电荷的传输和转移从而影响电池寿命衰退的机理,阐述了电池容量-阻抗-损伤的内在定性联系,并采用皮尔逊相关系数量化了RCT和RSEI与声发射累积撞击次数的关联,结果显示RCT和RSEI与声发射累积撞击次数的相关性系数均高于0.9,证明了阻抗与电极损伤关系紧密,其既包含电化学因素又能反映电极损伤信息,并且经由不同充放电倍率和不同电极材料的实验进一步得到验证。本文实验研究表明阻抗是考虑了力-电化学衰退内在机理的间接参数,为电池寿命预测的间接参数选择过程提供了理论支撑。
英文摘要:
      Accurately predicting the lifespan of lithium-ion batteries is critical for ensuring the safe operation of devices. This paper focuses on the selection of indirect parameters in battery lifespan prediction, a key aspect of the process. An integrated experimental approach, combining battery charge-discharge cycles, electrochemical impedance spectroscopy (EIS), and acoustic emission (AE) testing, was designed to explore the nonlinear evolution of capacity, impedance, and damage as functions of cycle count. The study analyzed the mechanisms through which charge transfer impedance (RCT) and solid electrolyte interface (SEI) film impedance (RSEI) influence battery degradation, by affecting internal charge transfer and movement. The intrinsic qualitative relationship between battery capacity, impedance, and damage was discussed. Furthermore, Pearson correlation coefficients were used to quantify the relationship between RCT, RSEI, and cumulative AE impact counts. The results indicated that both RCT and RSEI exhibited a correlation coefficient above 0.9 with AE cumulative impact counts, demonstrating a strong link between impedance and electrode damage. This correlation not only includes electrochemical factors but also reflects electrode damage. Additional experiments with different charge-discharge rates and electrode materials further validated the findings. The experimental results suggest that impedance is an effective indirect parameter that considers the underlying mechanisms of force-electrochemical degradation, providing theoretical support for the selection of indirect parameters in battery lifespan prediction.
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