Hardware-In-the-Loop Implementation for Predictive Controller Based on Indirect Vector Control of Induction Motor Control in Electric Vehicle

Abstract

This article proposes an indirect vector control for induction motor control in electric vehicle propulsion systems. Torque ripple suppression and improvement of the transient torque response are the key challenges. Therefore, the predictive controller was applied to the current control loop of an indirect vector control. To achieve fast transient response and small torque ripple, this study focused on the performance of the current control loop. A mathematical model of the electric vehicle propulsion system consisting of the mechanic of the electric vehicle load, battery, inverter, and three-phase induction motor is proposed. The accuracy of the model was validated and confirmed using the MATLAB/Simulink program. The hardware-in-the-loop technique was implemented to confirm the fast and accurate current performance for the electric vehicle system. The testing results demonstrated that an indirect vector control based on the predictive controller provided a faster transient current response and less current ripple than the PI controller. As a result, a good transient torque response and small torque ripple were achieved by the predictive controller under changing speed conditions.