中国安全科学学报 ›› 2022, Vol. 32 ›› Issue (1): 180-187.doi: 10.16265/j.cnki.issn1003-3033.2022.01.024

• 应急技术与管理 • 上一篇    下一篇

数据挖掘与现场调查结合的电动汽车事故分析

梁新苗1,2(), 肖凌云3,4, 王澎1,2, 董红磊3,**(), 曲现国3, 刘川1   

  1. 1中国汽车工程研究院股份有限公司 数据中心,重庆 401122
    2国家市场监管技术创新中心(新能源汽车数字监管技术及应用),重庆 401122
    3国家市场监督管理总局缺陷产品管理中心,北京 100088
    4中国标准化研究院长三角分院,浙江 嘉兴 314006
  • 收稿日期:2021-10-08 修回日期:2021-12-15 出版日期:2022-01-28 发布日期:2022-07-28
  • 通讯作者: 董红磊
  • 作者简介:

    梁新苗(1995—),女,河北唐山人,硕士,主要从事新能源汽车缺陷分析、风险评估、安全评价、标准研制等方面的工作。E-mail:
    肖凌云 正高级工程师,王澎 高级工程师,董红磊 高级工程师,刘川 中级工程师

  • 基金资助:
    国家重点研发计划项目(2020YFB1600601); 国家市场监督管理总局技术保障专项项目(2020YJ0045); 中央基本科研业务费项目(282020Y-7510)

Analysis on electric vehicle accidents based on data mining and site investigation

LIANG Xinmiao1,2(), XIAO Lingyun3,4, WANG Peng1,2, DONG Honglei3,**(), QU Xianguo3, LIU Chuan1   

  1. 1Data Center, China Automotive Engineering Research Institute Co., Ltd., Chongqing 401122, China
    2Technology Innovation Center of New Energy Vehicle Digital Supervision Technology and Application for State Market Regulation, Chongqing 401122, China
    3Defective product administrative center, State Administration for Market Regulation, Beijing 100088, China
    4Yangtze Delta Region Branch of China National Institute of Standardization, Jiaxing Zhejiang 314006, China
  • Received:2021-10-08 Revised:2021-12-15 Online:2022-01-28 Published:2022-07-28
  • Contact: DONG Honglei

摘要:

为了解电池热失控引起的电动汽车自燃事故起因,降低事故发生率,统计梳理2020年新能源汽车起火事故概况,并基于动力电池失效机制和车辆运行数据,提出一种融合事故阶段安全参数关联分析、事故现场调查和全生命周期数据一致性分析的事故多维分析方法,采用该方法深入剖析一起电动汽车起火事故。研究结果表明:事故多维分析方法可通过探究事故车辆的损毁情况和运行数据的变化特征,分析从故障到事故的演变过程,溯源事故原因。

关键词: 电动汽车, 事故分析, 自燃, 动力电池, 运行数据, 现场调查

Abstract:

In order to study the causes of electric vehicles' spontaneous combustion accidents due to batteries' thermal runaway, and to reduce such accidents, new energy vehicle fire accidents in 2020 was summarized. Then, based on the failure mechanism of power batteries and vehicle operating data, a multidimensional accident analysis method was put forward, which integrated safety parameter correlation analysis of accident stages, site investigation and full life cycle cell variation analysis. Finally, this method was employed to analyze an electric vehicle spontaneous combustion accident. The results show that the proposed method can identify evolution process from failure to accident, and therefore trace the cause of accidents by exploring damage of accident vehicle and change characteristics of operating data.

Key words: electric vehicle, accident analysis, spontaneous combustion, power battery, operating data, site investigation