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Automotive Engineering ›› 2024, Vol. 46 ›› Issue (2): 281-289.doi: 10.19562/j.chinasae.qcgc.2024.02.010

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Research on Non-Current-Sensor Control of Permanent Magnet Synchronous Motor for Vehicle

Nianzhong Zhang,Qiang Song(),Guanfeng Wang,Mingsheng Wang   

  1. Beijing Institute of Technology,National Engineering Laboratory for Electric Vehicles,Beijing  100081
  • Received:2023-07-02 Revised:2023-08-04 Online:2024-02-25 Published:2024-02-23
  • Contact: Qiang Song E-mail:songqiang@bit. edu. cn

Abstract:

In view of the complex and changeable vehicle environment of electric vehicles, which affects the measurement accuracy of current sensors, and the worse situation will lead to the failure of one-phase or multi-phase current sensors in the motor drive system, therefore, a non-current-sensor control algorithm based on extended Kalman filter is proposed in this paper. The stator current of the motor is reconstructed by using the stator voltage, rotor position and speed information of the permanent magnet synchronous motor, and the feed forward compensation is designed to improve the dynamic performance of the system regarding the system delay caused by the non-current-sensor algorithm. The acceleration and deceleration and robustness tests of the proposed algorithm are carried out. The effectiveness of the proposed method is verified by the simulation and experimental results.

Key words: electric vehicle, extended Kalman filtering, non-current-sensor, feed-forward compensation