不同区间衰退路径下锂离子电池的性能相关性及温度适用性分析

doi:10.19595/j.cnki.1000-6753.tces.190300

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Abstract The performance of li-ion battery is different under different capacity ranges and stress conditions. In this paper, lithium ion battery of composite material was taken as the research object, and the cycle range was divided based on the electrochemical phase change mechanism. A total throughput of 600 cycle tests was performed in the divided ranges and the whole range. Based on the performance degradation results in the cycle of different capacity ranges, the regression parameter analysis method was used to establish the characteristic parameter correlation model of lithium ion battery, including the correlation of cumulative capacity degradation rate, the correlation of cumulative internal resistance degradation rate and the correlation between them. The fitting goodness of the models are above 95%. Furthermore, the models were extended to a wider temperature range, and the applicability of the models was quantitatively analyzed. The results show that the correlation model of cumulative capacity degradation rate is very applicable at different temperatures. However, the applicability of the cumulative internal resistance correlation model and the correlation model between the two parameters are weak. The evolution law of internal resistance and capacity under different degradation paths provides a basis for the selection of the cycle range of li-ion batteries, and also provides a new idea for degradation prediction under different conditions.

Key words： Lithium-ion battery cycle range degradation path correlation thermal applicability

Received: 25 March 2019 Published: 12 May 2020

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TM911

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	Sun Bingxiang
	Liu Jia
	Han Zhiqiang
	Ren Pengbo
	Zhang Weige

Cite this article:

Sun Bingxiang,Liu Jia,Han Zhiqiang等. Performance Correlation and Temperature Applicability of Li-ion Batteries under Different Range Degradation Paths[J]. Transactions of China Electrotechnical Society, 2020, 35(9): 2063-2073.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.190300 OR https://dgjsxb.ces-transaction.com/EN/Y2020/V35/I9/2063

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