Model Predictive Control of PMSM Motor Drive for Electric Vehicle Applications with Space Vector Modulation

Abstract

Electric Vehicle (EV) is the recent technology which is becoming more commercialized around the world. Therefore, research around EV in the domain of drives, motors, charging infrastructure, etc. is increasing gradually. The motors which are preferred for EV application is Brushless DC (BLDC) motor, Induction Motor and Permanent Magnet Synchronous Motor (PMSM). BLDC motor is applicable for low power applications, thus only 2-wheelers and 3-wheelers can be driven. For high power application, Induction motor and PMSM are available, in which, Induction motor has low efficiency and high core losses. Therefore, PMSM is preferred for EV applications, as it gives high power, high torque density, high efficiency and better thermal management capacity. In recent years, multi-phase motor drives have gained more attraction for its reduced losses, lower Common Mode Voltage (CMV) and better efficiency over 3-phase motor drives. Among the multi-phase motor drives, the five 5-phase motor drives are selected for their robust control. In this paper, Model Predictive Control technique with Space Vector Modulation for PMSM motor drive is done.