锂离子电池缺陷检测技术及失效机理分析研究进展

doi:10.11896/cldb.24100016

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Abstract Failure analysis and defect detection technology of lithium-ion batteries play important roles in revealing the failure mechanism, monitoring battery status, diagnosing and warning battery failure, evaluating battery life and safety. Meanwhile, battery failure analysis and defect detection technology significantly guide the design and development of high-performance lithium-ion batteries. This review first introduces the battery defect detection methods from the multi-level perspective of “battery materials-single cell-battery module-battery management system”. It second classifies the battery failure mechanisms from the dual perspectives of “"endogenous" failure and "exogenous" failure” with practical application cases. Finally the paper proposes to combine failure detection technology and machine learning algorithm to build a new system of fast and high-throughput detection strategy, and outlooks the development of battery failure analysis technology, hoping to provide important information and insights for the evolvement of high-safety lithium-ion battery technology.

Key words： lithium-ion battery failure analysis defect detection multi-level perspective dual perspective

Published: Online: 2025-05-29

CLC number:

TK911

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	Articles by authors
	LI Longfei
	ZHENG Yongquan
	WAN Wangjun
	XU Zhihong
	WANG Qingli
	WANG Chen
	HE Xinping
	XIA Xinhui
	XIA Yang

Cite this article:

LI Longfei,ZHENG Yongquan,WAN Wangjun, et al. Research Progress in Failure Analysis and Defect Detection of Lithium-ion Batteries[J]. Materials Reports, 2025, 39(11): 24100016-9.

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https://www.mater-rep.com/EN/10.11896/cldb.24100016 OR https://www.mater-rep.com/EN/Y2025/V39/I11/24100016

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