汽车工程 ›› 2019, Vol. 41 ›› Issue (7): 831-838.doi: 10.19562/j.chinasae.qcgc.2019.07.015

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奇偶空间法用于电动车锂离子电池传感器故障诊断

潘凤文, 麻斌, 高莹, 徐明伟, 弓栋梁   

  1. 吉林大学,汽车仿真与控制国家重点实验室,长春 130025
  • 出版日期:2019-07-25 发布日期:2019-07-30
  • 通讯作者: 高莹,教授,博士生导师,E-mail:gaoying@jlu.edu.cn
  • 基金资助:
    国家重点研发计划项目(2016YFB0100300)资助

Parity Space Approach for Fault Diagnosis of Lithium-ion Battery Sensor for Electric Vehicles

Pan Fengwen, Ma Bin, Gao Ying, Xu Mingwei ,Gong Dongliang   

  1. Jilin University, State Key Laboratory of Automotive Simulation and Control, Changchun 130025
  • Online:2019-07-25 Published:2019-07-30

摘要: 在电池1阶等效电路模型的基础上耦合电池产热与传热方程,建立了可反映电池动态响应及热特性的电热模型,在此基础上应用奇偶空间法对电池输出传感器进行故障检测,并提出了一种基于系统矩阵运算的故障隔离方法。以随机电流激励为输入信号,对电池输出传感器故障进行实例分析,结果表明,奇偶空间法所设计的残差生成器可准确检测电池输出传感器故障,其针对故障信号的响应远大于源于建模精确度导致的振荡;经改良后的残差生成器在检测输出传感器故障的基础上,可实现对故障源的准确隔离。

关键词: 锂离子电池, 电热模型, 奇偶空间法, 故障检测与隔离

Abstract: Based on the first-order equivalent circuit model of the battery, this paper couples the heat generation and heat transfer equations of the battery, and establishes an electro-thermal model that reflects the dynamic response and thermal characteristics of the battery. Based on this, the parity space method is used to detect the fault of the battery output sensor and a fault isolation method based on system matrix operation is proposed. With the random current excitation as the input signal, the battery output sensor fault is analyzed. The results show that the residual generator designed by the parity space approach can accurately detect the battery output sensor fault, and its response to the fault signal is much larger than the oscillation caused by modeling accuracy. The improved residual generator can accurately isolate the fault source based on the detection of the output sensor fault

Key words: lithium-ion battery, electro-thermal model, parity space approach, fault detection and isolation