Model Predictive Control of an Electric Vehicle Motor Drive Integrated Battery Charger

Abstract

This paper presents a multi-objective model predictive control (MPC) approach for a three-phase, split converter-fed switched reluctance motor (SRM) integrated battery charger for Electric Vehicle (EV) application. The proposed control is based on finite control set (FCS) model predictive control which is suitable for online prediction with a unit prediction horizon. With the help of a tailored multi-objective cost function, the proposed MPC achieves unity input power factor while also equalizing the batteries' state of charge (SoC) at the end of the charging cycle regardless their initial SoC. The performance of the proposed MPC has been verified using MATLAB/Simulink.