Research on fault diagnosis of lithium-ion batteries based on adaptive boosting of abnormal features

CAI Zeyang; ZHANG Liang; YANG Shichun; WANG Jinming; YAN Xiaoyu

doi:10.13890/j.issn.1000-128X.2025.03.006

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Research on fault diagnosis of lithium-ion batteries based on adaptive boosting of abnormal features

Multi-source Energy | 更新时间：2025-09-19

- Research on fault diagnosis of lithium-ion batteries based on adaptive boosting of abnormal features
- “In the field of transportation, researchers have proposed a safety warning algorithm for power battery systems based on safety entropy, which effectively identifies battery safety risks and provides a 7-day early warning.”
- Electric Drive for Locomotives Issue 3, Pages: 48-55(2025)
- 作者机构：
  
  1.北京航空航天大学交通科学与工程学院，北京 100191
  2.应急管理部天津消防研究所，天津 300381
  3.江苏永贵新能源科技有限公司，江苏南京 210038
  4.北京航空航天大学航空发动机研究院，北京 100191
- 作者简介：
- 基金信息：
- DOI：10.13890/j.issn.1000-128X.2025.03.006
  CLC： U267.1
- Received：04 March 2025，
  
  Revised：2025-05-01，
  
  Published：10 May 2025
- 稿件说明：
移动端阅览
蔡泽阳, 张良, 杨世春, 等. 基于异常特征自适应增强方法的锂离子电池故障诊断研究[J]. 机车电传动, 2025(3): 48-55.

CAI Zeyang, ZHANG Liang, YANG Shichun, et al. Research on fault diagnosis of lithium-ion batteries based on adaptive boosting of abnormal features[J]. Electric drive for locomotives,2025(3): 48-55.
蔡泽阳, 张良, 杨世春, 等. 基于异常特征自适应增强方法的锂离子电池故障诊断研究[J]. 机车电传动, 2025(3): 48-55. DOI：,10.13890/j.issn.1000-128X.2025.03.006.

CAI Zeyang, ZHANG Liang, YANG Shichun, et al. Research on fault diagnosis of lithium-ion batteries based on adaptive boosting of abnormal features[J]. Electric drive for locomotives,2025(3): 48-55. DOI：,10.13890/j.issn.1000-128X.2025.03.006.

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Research on fault diagnosis of lithium-ion batteries based on adaptive boosting of abnormal features

DOI：10.13890/j.issn.1000-128X.2025.03.006