吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (4): 1030-1037.doi: 10.13229/j.cnki.jdxbgxb201604003

• Orginal Article • Previous Articles     Next Articles

Integration of fault diagnosing algorithm into energy management strategy for hybrid electric vehicle

ZENG Xiao-hua1, JIANG Yuan-de2, SONG Da-feng1, PENG Yu-jun2, YANG Nan-nan2   

  1. 1.State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China;
    2. College of Automotive Engineering, Jilin University, Changchun 130022, China
  • Received:2015-04-24 Online:2016-07-20 Published:2016-07-20

Abstract: An integration scheme is proposed to effectively integrate fault diagnosis algorithm into energy management strategy for hybrid electric vehicle. In this scheme, the fault detection, fault recognition, fault identification, fault rank division and fault tolerance control are integrated into the general energy management architecture. In order to verify the effectiveness of the proposed scheme, a fault diagnosis algorithm-integrated energy management strategy is established using MATLAB/Simulink combined with models constructed by Cruise software. Hardware-in-the-loop simulation results show the fault diagnosis algorithm-integrated energy management strategy can detect the vehicle faults and apply fault tolerance control accordingly. Meanwhile, the fault diagnosis algorithm and energy management strategy are effectively coordinated.

Key words: vehicle engineering, hybrid electric vehicles, diagnosis algorithm, integration scheme, fault detection

CLC Number: 

  • U41
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