西南交通大学学报2026，Vol.61Issue(1)：189-196,8.DOI:10.3969/j.issn.0258-2724.20230704
浮充工况锂电池组早期内短路快速定量诊断方法
Fast Quantitative Diagnosis Method for Early-Stage Internal Short Circuit in Lithium Battery Pack Under Floating Charge Conditions
摘要
Abstract
The floating charge condition of lithium-ion batteries widely exists in scenarios such as backup power sources and communication base stations,and is a special condition that tends to stabilize.This stability poses a challenge to the quantitative diagnosis of internal short circuit(ISC)in batteries under this condition.In this study,a quantitative diagnosis method for early ISC in lithium-ion battery packs based on intermittent charging was proposed.This method utilized a repeated"charging-rest"process to calculate the equivalent leakage current according to the relationship between charging capacity and leakage,thereby achieving rapid quantitative diagnosis of ISC.The simulation and experimental results show that the proposed method has a diagnostic accuracy of less than 2%and a detection time of about 33 minutes for a micro-ISC battery with an ISC resistance of 500 Ω.It achieves early-stage and high-precision quantitative diagnosis of battery ISC under floating charge conditions.In addition,compared with conventional constant voltage source methods,the proposed method improves the accuracy of diagnosing short circuits within 100 Ω by at least 16 times.The proposed ISC method has a very low computational burden and is of great significance for improving the safety of battery packs.关键词
锂离子电池/内短路诊断/浮充工况/定量诊断/备用电源Key words
lithium-ion battery/internal short circuit diagnosis/floating charge condition/quantitative diagnosis/backup power source分类
信息技术与安全科学引用本文复制引用
李志强,刘媛,李彬,时玮,郑岳久,来鑫..浮充工况锂电池组早期内短路快速定量诊断方法[J].西南交通大学学报,2026,61(1):189-196,8.基金项目
国家自然科学基金项目(52277223,51977131) 上海市白玉兰人才计划浦江项目(23PJD062). （52277223,51977131）
