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Automotive Engineering ›› 2019, Vol. 41 ›› Issue (7): 839-850.doi: 10.19562/j.chinasae.qcgc.2019.07.016

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Model-based Fault Diagnosis of Automotive Electric Power Steering System

Chen Qi1, Wang Jincheng1, Qadeer Ahmed2, Yao Zhigang1 ,Chen Wuwei3   

  1. 1.School of Mechanical Engineering, Hefei University of Technology, Hefei 230009;
    2.Center of Automotive Research, The Ohio State University, Columbus 43212;
    3.School of Automobile and Traffic Engineering, Hefei University of Technology, Hefei 230009
  • Online:2019-07-25 Published:2019-07-30

Abstract: In order to realize the state monitoring and key faults diagnosis of electric power steering (EPS) system, the theory of fault diagnosis with model-based structural analysis (SA) is introduced in this paper. By combining with the mathematical model of EPS and the key faults of system, the fault model of system is established. Structural analysis methods such as the structural representation of system, Dulmage-mendelsohn decomposition and fault isolation matrix are employed to analyze the detectability and isolability of faults, to get the optimal sensor configuration of fault diagnosis system for EPS, and to obtain five minimal structural over-determined sets (MSO sets).The residuals for five MSO sets are designed, the fault diagnosis system is constructed with MATLAB/Simulink, the signal features and fault states of five residuals are checked, and the effectiveness of the fault diagnosis design system for EPS is verified, laying a foundation for follow-up test verification

Key words: electric power steering, fault diagnosis, fault model, structural analysis, FDI system