Predictive Control with MTPA for Interior Permanent Magnet Synchronous Motor for EV Application

Abstract

This report investigates the application and performance of various advanced control techniques for Interior Permanent Magnet Synchronous Motors (IPMSMs) for electric vehicles application. As the requirements for energy saving and high efficien cybeco memo repopul ar inelectr icpropulsi onsystem s,t heoptimizati onof IPMSM control is essential. This study focuses on applying Maximum Torque per Ampere (MTPA) technique, with Field Oriented Control (FOC), Deadbeat Control, and Finite Control Set Model Predictive Control (FCS-MPC), on an Interior PMSM. Additionally, battery-bidirectional DC-DC converter are integrated to power the traction system. Detailed simulations were performed in this report in order to identify the effectivenes san dlimitation so feac hcontro lmethod ,providin g aclear notion on how to optimize IPMSM control for enhanced performance in electric vehicle applications.