Modelling and Control of Switched Reluctance Motor for Hybrid Electric Vehicle

This paper presents the modelling and control of switched reluctance motor (SRM) for hybrid electric vehicle (HEV) application. Nonlinear characteristics of SRM are obtained using finite element analysis. The fuzzy logic controller is used to minimize the torque ripple which improves the average torque capability of SRM. Obtained results from the drive using fuzzy logic controller are compared with PI controller for four different converter topologies. Asymmetric converter with simple structure is preferred since its fast energy recovery operation helps to improve the average torque. Tractive effort modelling and optimal vehicle control strategy for defined driving cycle is implemented in MATLAB. Simulation results show the better operating performance of HEV with fuzzy logic controller and optimal vehicle control strategy at different load commands.