Comparative Analysis of Control Techniques for Electric Vehicle with PMSM Motor Drives for Voltage Selection Techniques and Torque-Flux Mitigation

Abstract

The fast dynamic response is a vital requisite for the operation of automotive drives. Various control schemes for electric vehicles (EV) have been proposed over time, and vector control is one of the popular techniques among them. Direct Torque Control (DTC) and Model Predictive Current Control (MPCC) were some of the vector control methods analyzed for their ripples in flux and torque, which in turn affect the performance of the EV is discussed in this paper. The DTC method uses the predefined voltage vector (VV) table to decide the Active voltage vector adjacent to the reference voltage vector from the table; this can also improve the flux response and torque ripple. Furthermore, the switching frequency reduction can be made by incorporating the null voltage vector in the switching sequence. The MPCC is employed for the PMSM machine model to reduce the error between the assumed reference and predicted value using the cost function by choosing one optimum vector. A modified MPCC technique is used in the paper, where two voltage vectors are applied in a single sample interval. This is used to improve the steady-state performance of the system. Based on specific scenarios, a comparison of modified MPCC and DTC techniques is made for Permanent Magnet Synchronous Motor (PMSM). The PMSM has good dynamic performance and power density, suitable for EV applications. The simulation results are used to compare the effectiveness of both methods for their torque and flux mitigation, and their comparisons are presented.