储能科学与技术 ›› 2025, Vol. 14 ›› Issue (7): 2878-2880.doi: 10.19799/j.cnki.2095-4239.2025.0589

• 第十三届储能国际峰会暨展览会专辑 • 上一篇    下一篇

基于孤立森林算法的锂电池内部故障分析策略

程静飞()   

  1. 河南信息统计职业学院信息技术学院,河南 郑州 450000
  • 收稿日期:2025-06-24 修回日期:2025-06-30 出版日期:2025-07-28 发布日期:2025-07-11
  • 作者简介:程静飞(1981—),女,硕士,讲师,研究方向:计算机应用技术,E-mail:hnzz405@163.com
  • 基金资助:
    河南省教育厅项目(2023-ZZJH-120);河南省教育厅项目(23B520034)

Internal fault analysis strategy of lithium battery based on isolation forest algorithm

Jingfei CHENG()   

  1. School of Information Technology, Henan Vocational College of Information and Statistics, Zhengzhou 450000, Henan
  • Received:2025-06-24 Revised:2025-06-30 Online:2025-07-28 Published:2025-07-11

摘要:

锂电池内部故障诊断这一关键问题,一直是锂电池设计研究的重点,传统故障检测方法在实时性、精度及适应性方面均略有不足,本研究以锂电池内部故障问题作为切入方向,对基于孤立森林算法的锂电池内部故障分析策略展开研究综述,重点说明了锂电池故障对其运行安全性的影响,也就孤立森林算法的应用可行性进行探究。文章首先分析了故障数据采集与预处理的必要性,并在此基础上综述了孤立森林算法的模型结构,再从异常分数计算、故障判定、故障诊断三方面,阐述孤立森林算法下锂电池内部故障分析策略的有效性。

关键词: 孤立森林, 锂电池, 内部故障

Abstract:

This study takes the issue of internal faults in lithium batteries as the starting point and proposes an internal fault analysis strategy for lithium batteries based on the Isolation Forest algorithm. It not only explains the impact of lithium battery faults on their operational safety, but also explores the feasibility of applying the Isolation Forest algorithm. Analyze the necessity of fault data collection and preprocessing, and based on this, construct an isolated forest algorithm model. Then, elaborate on the effectiveness of the designed method from three aspects: anomaly score calculation, fault determination, and fault diagnosis.

Key words: isolated forest, lithium batteries, internal malfunction

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