Electric Vehicle-Oriented Predictive Control for SRMs 8/6 with Optimized Dual-Phase Excitation Vectors

The Switched Reluctance Motor (SRM) is a strong candidate for high-performance industrial drives and electric vehicle (EV) propulsion due to its robust, magnet-free construction, high fault tolerance. The main drawback of the switched reluctance motor is the nonlinear behavior producing high torque ripple and noise these factors significantly hinder their widespread adoption. A novel alternative that is being investigated the last years to mitigate this problem is FCS-MPC (Finite Control Set Model Predictive Control), nevertheless the existing implementation use an eight-vector set as a base including single phase and dual phase excitation that don’t have equal magnitude, representing a nonuniform distribution in the αβ-plane. Therefore, this article, propose a novel eight vector set, that excites two phases in every vector with equal magnitude distributed in the αβ-plane, this new set of vectors result in smother current transitions, and reduce the torque ripple improve the dynamic behavior, this strategy is validated on the MATLAB/Simulink platform present detailed results comparing the proposed and the conventional method. The findings indicate a reduction in torque ripple by up to 58%, an improvement in acceleration time by up to 64%. The method demonstrates strong potential for scalable SRM performance enhancement in demanding applications such as EV drives.