吉林大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (2): 354-359.doi: 10.13229/j.cnki.jdxbgxb201602004

• Orginal Article • Previous Articles     Next Articles

Application of fuzzy mathematics in fault diagnosis of motor of hybrid vehicle

SONG Da-feng1, LI Guang-han1, ZHANG Lin1, PAN Bing2, ZENG Xiao-hua1, PENG Yu-jun3, WANG Qing-nian1   

  1. 1.State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun 130022, China;
    2.Dongying Textile Fiber Inspection Board, Dongying 257000, China;
    3.FAW Volkswagen,Changchun 130011, China
  • Received:2014-10-27 Online:2016-02-20 Published:2016-02-20

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Abstract: In order to accurately detect the faults of motor response of hybrid vehicle and determine the fault degree in time, the fuzzy logic arithmetic was introduced to the fault detection. The method to obtain the threshold of motor load difference value was analyzed on the promise of considering the influences of the motor speed and the load. The motor working status was illustrated based on the threshold. According to the characteristics of the input and output signals, the membership function of the variables was established. The evaluation principle based on fuzzy logic was proposed, and a motor fault diagnosing model was built in Matlab/Simulink. Simulation results verify the accuracy and practicality of the model.

Key words: vehicle engineering, hybrid vehicles, motor faults, fault diagnosis, fuzzy logic, membership function

CLC Number: 

  • U469.7
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