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A Fast-Acting Diagnostic Algorithm of Insulated Gate Bipolar Transistor Open Circuit Faults for Power Inverters in Electric Vehicles

Author

Listed:
  • Lei Yu

    (Laboratory of Low Emission Vehicle, Beijing Institute of Technology, Beijing 100081, China)

  • Youtong Zhang

    (Laboratory of Low Emission Vehicle, Beijing Institute of Technology, Beijing 100081, China)

  • Wenqing Huang

    (United Automotive Electronic System Co., Ltd., Shanghai 201206, China)

  • Khaled Teffah

    (Laboratory of Low Emission Vehicle, Beijing Institute of Technology, Beijing 100081, China)

Abstract

To improve the diagnostic detection speed in electric vehicles, a novel diagnostic algorithm of insulated gate bipolar transistor (IGBT) open circuit faults for power inverters is proposed in this paper. The average of the difference between the actual three-phase current and referential three-phase current values over one electrical period is used as the diagnostic variable. The normalization method based on the amplitude of the d-q axis referential current is applied to the diagnostic variables to improve the response speed of diagnosis, and to avoid the noise and the delay caused by signal acquisition. In the parameter discretization process, the variable parameter moving average method (VPMAM) is adopted to solve the variation of the average value over a period with the speed of the motor; hence, the diagnostic reliability of the system is improved. This algorithm is robust, independent of load variations, and has a high resistivity against false alarms. Since only the three-phase current of the motor is utilized for calculations in the time domain, a fast diagnostic detection speed can be achieved, which is significantly essential for real-time control in electric vehicles. The effectiveness of the proposed algorithm is verified by both simulation and experimental results.

Suggested Citation

  • Lei Yu & Youtong Zhang & Wenqing Huang & Khaled Teffah, 2017. "A Fast-Acting Diagnostic Algorithm of Insulated Gate Bipolar Transistor Open Circuit Faults for Power Inverters in Electric Vehicles," Energies, MDPI, vol. 10(4), pages 1-16, April.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:4:p:552-:d:96070
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    References listed on IDEAS

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    1. Seung-Koo Baek & Hye-Ung Shin & Seong-Yun Kang & Choon-Soo Park & Kyo-Beum Lee, 2016. "Open Fault Detection and Tolerant Control for a Five Phase Inverter Driving System," Energies, MDPI, vol. 9(5), pages 1-19, May.
    2. Jing Zhao & Xu Gao & Bin Li & Xiangdong Liu & Xing Guan, 2015. "Open-Phase Fault Tolerance Techniques of Five-Phase Dual-Rotor Permanent Magnet Synchronous Motor," Energies, MDPI, vol. 8(11), pages 1-29, November.
    3. Yingning Qiu & Hongxin Jiang & Yanhui Feng & Mengnan Cao & Yong Zhao & Dan Li, 2016. "A New Fault Diagnosis Algorithm for PMSG Wind Turbine Power Converters under Variable Wind Speed Conditions," Energies, MDPI, vol. 9(7), pages 1-15, July.
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    Citations

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    Cited by:

    1. Cristina Morel & Ahmad Akrad, 2023. "Open-Circuit Fault Detection and Location in AC - DC - AC Converters Based on Entropy Analysis," Energies, MDPI, vol. 16(4), pages 1-20, February.
    2. Hongqian Wei & Youtong Zhang & Lei Yu & Mengzhu Zhang & Khaled Teffah, 2018. "A New Diagnostic Algorithm for Multiple IGBTs Open Circuit Faults by the Phase Currents for Power Inverter in Electric Vehicles," Energies, MDPI, vol. 11(6), pages 1-14, June.

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