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Accurate and Efficient Torque Control of an Interior Permanent Magnet Synchronous Motor in Electric Vehicles Based on Hall-Effect Sensors

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)

Abstract

: In this paper, an effective method to achieve accurate and efficient torque control of an interior permanent magnet synchronous motor (IPMSM) in electric vehicles, based on low-resolution Hall-effect sensors, is proposed. The high-resolution rotor position is estimated by a proportional integral (PI) regulator using the deviation between actual output power and reference output power. This method can compensate for the Hall position sensor mounting error, and estimate rotor position continuously and accurately. The permanent magnetic flux linkage is also estimated based on a current PI controller. Other important parameters, such as the d -axis and q -axis inductances, stator resistance, and energy loss, are measured offline by experiments. The measured parameters are saved as lookup tables which cover the entire current operating range at different current levels. Based on these accurate parameters, a maximum torque per ampere (MTPA) control strategy, combined with the feedforward parameter iteration method, can be achieved for accurate and efficient torque control. The effectiveness of the proposed method is verified by both simulation and experimental results.

Suggested Citation

  • Lei Yu & Youtong Zhang & Wenqing Huang, 2017. "Accurate and Efficient Torque Control of an Interior Permanent Magnet Synchronous Motor in Electric Vehicles Based on Hall-Effect Sensors," Energies, MDPI, vol. 10(3), pages 1-15, March.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:3:p:410-:d:93626
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    References listed on IDEAS

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    1. Peixin Liang & Yulong Pei & Feng Chai & Kui Zhao, 2016. "Analytical Calculation of D - and Q -axis Inductance for Interior Permanent Magnet Motors Based on Winding Function Theory," Energies, MDPI, vol. 9(8), pages 1-11, July.
    2. Bo Xu & Fangqiang Mu & Guoding Shi & Wei Ji & Huangqiu Zhu, 2016. "State Estimation of Permanent Magnet Synchronous Motor Using Improved Square Root UKF," Energies, MDPI, vol. 9(7), pages 1-14, June.
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    Cited by:

    1. Jianfei Zhao & Minqi Hua & Tingzhang Liu, 2018. "Research on a Sliding Mode Vector Control System Based on Collaborative Optimization of an Axial Flux Permanent Magnet Synchronous Motor for an Electric Vehicle," Energies, MDPI, vol. 11(11), pages 1-16, November.
    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.
    3. Shun Li & Xinxiu Zhou, 2018. "Sensorless Energy Conservation Control for Permanent Magnet Synchronous Motors Based on a Novel Hybrid Observer Applied in Coal Conveyer Systems," Energies, MDPI, vol. 11(10), pages 1-23, September.
    4. Željko Plantić & Tine Marčič & Miloš Beković & Gorazd Štumberger, 2019. "Sensorless PMSM Drive Implementation by Introduction of Maximum Efficiency Characteristics in Reference Current Generation," Energies, MDPI, vol. 12(18), pages 1-14, September.

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