Study of optimal control strategy of electric machines used in Plug-in Hybrid Electric Vehicles

Abstract

This paper presents simulation of ANN control approach of electric machine (EM) used in Plug-in Hybrid Electric Vehicle (PHEV). The EM is constructed in MATLAB/Simulink and the feedback closed-loop control system of ANN controller has been developed. A power reference curve has been used as reference for the EM that represents the load demand of the PHEV. The control system has been simulated to obtain optimal control parameters of the system that can optimally track the power reference curve. The proposed ANN controller developed has been compared with two previously studied methods of using conventional PI based speed controller and the PI-PSO based controller. From the simulation results, it has been shown that the proposed method is much better than the conventional PI based method and also relatively comparable to the results of PI-PSO method. This shows that it is alternative way of using the intelligent controller of ANN to replace the conventional method of PI control system.