Administrator by China Associction for Science and Technology
Sponsored by China Society of Automotive Engineers
Published by AUTO FAN Magazine Co. Ltd.

Automotive Engineering ›› 2025, Vol. 47 ›› Issue (6): 1037-1047.doi: 10.19562/j.chinasae.qcgc.2025.06.003

Previous Articles    

Research on Multi-level Safety Management Method of Power Battery Under Vehicle-Cloud Collaboration

Linsui Cheng1,2,3,Jibin Yang1,2,3(),Pengyi Deng1,2,3,Xiaohua Wu1,2,3,Xiaohui Xu1,2,3,Ke Deng1,2,3   

  1. 1.Xihua University,Vehicle Measurement Control and Safety Key Laboratory of Sichuan Province,Chengdu 610039
    2.Xihua University,Provincial Engineering Research Center for New Energy Vehicle Intelligent Control and Simulation Test Technology of Sichuan,Chengdu 610039
    3.Yibin Institute in Xihua University,Yibin 644000
  • Received:2024-08-26 Revised:2024-11-03 Online:2025-06-25 Published:2025-06-20
  • Contact: Jibin Yang E-mail:yangjibin08@163.com

Abstract:

In order to solve the problem of thermal runaway safety of power batteries in new energy vehicles, in this paper a multi time scale safety management method for batteries based on vehicle-cloud collaboration. On the short time scale, the value-rate model and two-dimensional fault feature are employed for the real-time diagnosis of outliers and inconsistencies pertaining to battery packs on the vehicle-end battery management system. On the long-timescale, the cloud utilizes a substantial quantity of historical data and information about vehicle-end warnings, combined with improved Shannon entropy, multi-scale fuzzy entropy, and anomaly coefficient methods, to predict the trend of the thermal runaway based on incoming data. Finally, validation based on historical data from actual thermal runaway vehicles shows that the proposed method can issue early warnings on the cloud at least five days in advance, achieving multi-level management of the long and short time domain collaboration between the vehicle and cloud ends of power batteries.

Key words: power batteries, thermal runaway, vehicle-cloud collaboration, battery management, multi-entropy fusion