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A Practical Torque Estimation Method for Interior Permanent Magnet Synchronous Machine in Electric Vehicles.

Zhihong Wu1, Ke Lu1, Yuan Zhu2

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Accurate torque estimation for interior permanent magnet synchronous motors (IPMSM) in electric vehicles is crucial for safety. This study presents a novel method using a flux estimator and modified low-pass filter, improving torque accuracy.

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Area of Science:

  • Electrical Engineering
  • Automotive Engineering
  • Control Systems

Background:

  • Accurate torque output from interior permanent magnet synchronous motors (IPMSM) is vital for electric vehicle (EV) safety and performance.
  • Maximum Torque Per Ampere (MTPA) strategies rely heavily on precise machine parameter accuracy for effective torque control.

Purpose of the Study:

  • To develop and validate a robust torque estimation method for IPMSM in EVs.
  • To enhance torque estimation accuracy by addressing non-ideal inverter characteristics.

Main Methods:

  • Implementation of a novel torque estimation technique utilizing a flux estimator with a modified low-pass filter.
  • Integration of non-ideal inverter characteristics into the torque estimation model.
  • Validation through extensive simulations in MATLAB/Simulink and experimental testing.

Main Results:

  • The proposed flux estimator with a modified low-pass filter significantly improves torque estimation accuracy.
  • Accounting for inverter non-idealities further enhances the precision of the torque estimation method.
  • Simulation and experimental results confirm the effectiveness of the developed torque estimation strategy.

Conclusions:

  • The presented torque estimation method offers a reliable solution for enhancing the safety and performance of electric vehicles equipped with IPMSM.
  • The incorporation of inverter non-ideal characteristics is a key factor in achieving high-accuracy torque estimation.
  • This research contributes to the advancement of control strategies for electric vehicle powertrains.