Modelling and comparative analysis of ANN and PID controllers with MFB applied to HESS of electric vehicle

Abstract

A control strategy approach is proposed, in order to achieve the smooth and precise switching of energy sources present in the hybrid energy storage system which includes battery and ultracapacitor. Based on the speed of an electric motor four individual math functions are considered, designed a new controller named as math function-based (MFB) controller. Thereafter the designed MFB controller is integrated with conventional/intelligent controller to full fill the proposed control strategy approach. Two different hybrid controllers MFB with proportional integral derivative, MFB with artificial neural network are proposed and implemented to the electric motor in four different modes based on the load applied. Two-hybrid controllers MATLAB/Simulink output responses are compared and tabulated in the conclusion section.