中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (5): 92-98.doi: 10.16265/j.cnki.issn1003-3033.2018.05.016

• 安全工程技术科学 • 上一篇    下一篇

新能源汽车燃爆风险与防控研究

苏晓倩1,2, 庄越**1,2 教授, 代华明3   

  1. 1 武汉理工大学 中国应急管理研究中心,湖北 武汉 430070;
    2 武汉理工大学 管理学院,湖北 武汉 430070;
    3 武汉理工大学 资源与环境工程学院,湖北 武汉 430070
  • 收稿日期:2018-02-05 修回日期:2018-04-07 出版日期:2018-05-28 发布日期:2020-11-25
  • 通讯作者: **庄越(1965—),男,湖北武汉人,博士,教授,硕士生导师,主要从事安全管理、公共安全与应急管理研究。E-mail:zhuangy2008@163.com。
  • 作者简介:苏晓倩(1993—),女,安徽六安人,硕士研究生,主要研究方向为安全管理、应急管理。E-mail:suxiaoqian25@163.com。
  • 基金资助:
    教育部人文社会科学研究规划基金资助(17YJA630151);安全预警与应急联动技术湖北省协同创新中心开放课题(JD20160104)。

Study on risk of new energy vehicle burning-explosion and control measure

SU Xiaoqian1,2, ZHUANG Yue1,2, DAI Huaming3   

  1. 1 China Research Center for Emergency Management,Wuhan University of Technology,Wuhan Hubei 430070,China;
    2 School of Management,Wuhan University of Technology,Wuhan Hubei 430070,China;
    3 School of Resources and Environmental Engineering,Wuhan University of Technology,Wuhan Hubei 430070,China
  • Received:2018-02-05 Revised:2018-04-07 Online:2018-05-28 Published:2020-11-25

摘要: 为研究新能源汽车燃爆问题,采用模糊故障模式与影响分析(FFMEA)法对新能源汽车燃爆事故风险和防控对策开展研究。根据我国新能源汽车燃爆事件的统计数据,分析其致因机制,并将新能源汽车划分为整车控制系统、驱动电机系统、辅助系统、电源系统和基础设施系统等5个子系统,对其开展FFMEA分析;最后基于分析结果提出针对性防控对策。结果表明:电源系统是最大的风险源,其次是基础设施系统,电池组短路、电芯热失控和充电桩无过载、短路保护等故障为风险较大的故障模式;提出优化电池结构、安装碰撞自动切断电力传感器、建设过充故障检测装置等防控对策。

关键词: 新能源汽车, 燃爆, 事故风险分析, 模糊故障模式与影响分析(FFMEA), 模糊风险优先数(FRPN)

Abstract: In view of the burning and explosion accidents of new energy vehicles,the paper was aimed at studying the prevention measures by using the FFMEA method.Based on the statistical accidents data of new energy vehicles in China,the causes of the accidents were analyzed.Then the vehicles are divided into five subsystems through the FFMEA assessment of the various subsystems.It is found that the power subsystem is the largest risk source followed by the infrastructure subsystem,that the battery pack short circuit,battery thermal runaway,and charging pile without overload are also the main failure modes with a high risk,and that prevention and control measures such as optimizing the battery structure,installing collision automatically cut off power sensors and constructing overcharge detection devices will be effective in decreasing the risk.

Key words: new energy vehicle, burning and explosion, risk analysis of accident, fuzzy failure mode and effect analysis (FFMEA), fuzzy risk priority number (FRPN)

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