• DocumentCode
    136586
  • Title

    Fault detection and confirmation for hybrid electric vehicle

  • Author

    Huiyong Chen ; Yujun Peng ; Xiaohua Zeng ; Mingli Shang ; Dafeng Song ; Qingnian Wang

  • Author_Institution
    Zhengzhou Yutong Bus Co., Ltd., Zhengzhou, China
  • fYear
    2014
  • fDate
    Aug. 31 2014-Sept. 3 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Compared with traditional vehicle, hybrid electric vehicle (HEV) is a more complicated system. With a series of high voltage components, HEV has an increasing failure rate. In order to detect the possible fault, a fault detection for HEV is proposed. The fault detection is conducted in three aspects, namely input signal of main components, torque response of power sources and logical rationality of key signals. Then time based fault confirmation mechanism is used to confirm the detected fault. Finally, hardware in the loop test result shows that the proposed method is able to detect faults rationally.
  • Keywords
    fault diagnosis; hybrid electric vehicles; HEV; failure rate; fault detection; hardware in the loop test; high voltage components; hybrid electric vehicle; power sources; time based fault confirmation mechanism; torque response; Batteries; Circuit faults; Engines; Fault detection; Hybrid electric vehicles; Switches; Torque; fault confirmation; fault detection; hybrid electric vehicle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 2014 IEEE Conference and Expo
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-4240-4
  • Type

    conf

  • DOI
    10.1109/ITEC-AP.2014.6940857
  • Filename
    6940857