电动汽车电池组连接松脱故障诊断
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  • 英文篇名:A Loose Connection Fault Diagnosis for Battery Pack of Electric Vehicle
  • 作者:杨洋 ; 杨林 ; 李冬冬 ; 邓忠伟
  • 英文作者:Yang Yang;Yang Lin;Li Dongdong;Deng Zhongwei;Institute of Automotive Electronic Technology, Shanghai Jiao Tong University;
  • 关键词:电动汽车 ; 连接松脱 ; 相关系数 ; 故障定位
  • 英文关键词:EV;;Lose connection;;Correlation coefficient;;Fault locating
  • 中文刊名:QCJS
  • 英文刊名:Automobile Technology
  • 机构:上海交通大学汽车电子技术研究所;
  • 出版日期:2019-01-29 10:06
  • 出版单位:汽车技术
  • 年:2019
  • 期:No.524
  • 基金:国家自然科学基金项目(51741707)
  • 语种:中文;
  • 页:QCJS201905011
  • 页数:6
  • CN:05
  • ISSN:22-1113/U
  • 分类号:47-52
摘要
提出一种基于相关系数法进行连接松脱故障诊断的算法,通过计算相邻单体电池电压采样数列的相关系数进行连接松脱故障诊断,结合数学推导和模型仿真,对算法的灵敏度、有效性、适用性和通用性作出分析。试验结果表明,该算法能准确及时地对电池组不同类型的连接松脱故障进行报警和定位且无硬件冗余,具有完全的通用性和适用性,且满足车载应用对实时性的要求,可在实车电池管理系统中应用。
        This paper presents an algorithm for loose connection in battery pack based on the correlation coefficient.By calculating the correlation coefficient of sampling series of adjoining battery cell voltage, loose connection fault analysis is conducted, and with the aid of mathematical derivation and model simulation, the sensitivity, effectiveness, applicability and generality of the algorithm are analyzed. The experiment results indicate that the algorithm can accurately and timely alarm and locate different loose connection faults of battery pack without hardware redundancy. With generality and applicability, the algorithm fully meets the real-time requirements of automotive applications and can be applied in the vehicle battery management system.
引文
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