Energy Storage Science and Technology ›› 2025, Vol. 14 ›› Issue (7): 2878-2880.doi: 10.19799/j.cnki.2095-4239.2025.0589

• Special Issue on the 13th Energy Storage International Conference and Exhibition • Previous Articles     Next Articles

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

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

CLC Number: