- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
- Scopus
- Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
- Chinese S&T Journal Citation Reports
- Chinese Science Citation Database
| Citation: | LI Zhiqiang, LIU Yuan, LI Bin, SHI Wei, ZHENG Yuejiu, LAI Xin. Fast Quantitative Diagnosis Method for Early-Stage Internal Short Circuit in Lithium Battery Pack under Floating Charge Conditions[J]. Journal of Southwest Jiaotong University, 2026, 61(1): 1-8. doi: 10.3969/j.issn.0258-2724.20230704
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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.
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