Experimental study demonstrates enhanced torque and speed tracking in electric vehicle induction motor drives, indicating improved robustness against parameter variations.
Electric vehicle traction drives require fast, robust, and efficient induction motor control, especially under variable speed, load torque, and thermal operating conditions. In Field-Oriented Control integrated Hysteresis Current Controller (FOC-HCC) induction motor drives, variations of stator and rotor resistance degrade flux estimation, distort rotor flux angle calculation, and may reduce speed tracking quality. This paper aims to enhance FOC-HCC performance by integrating an online Current-Based Model Reference Adaptive System (CB-MRAS) resistance estimator that simultaneously updates stator and rotor resistance during drive operation. The proposed approach combines voltage, current, and virtual current models within a two-loop CB-MRAS adaptation structure to estimate stator and rotor resistances. The estimated resistances are then fed back into the enhanced FOC-HCC scheme to improve rotor flux calculation. Local stability and gain sensitivity analyses are also provided. Simulation results demonstrate that the proposed strategy improves drive response under simultaneous variations in motor parameters. Compared with the typical FOC-HCC scheme, the proposed method provides smoother torque behavior, accurate speed tracking, and more consistent flux orientation. The effectiveness is also maintained under inverter dead time, hysteresis band variation, HWFET operation, and regenerative braking. Experimental tests at 300 rpm, including a 20% increase in stator resistance and thermal operation at 70 °C, confirm real-time feasibility.
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Nguyen et al. (2026) studied this question.
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