An Intelligent Adaptive Neural Network Controller for a Direct Torque Controlled eCAR Propulsion System

This article deals with an intelligent adaptive neural network (ANN) controller for a direct torque controlled (DTC) electric vehicle (EV) propulsion system. With the realization of artificial intelligence (AI) conferred controllers, control car (eCAR) motor can be achieved by estimating stator reference flux voltage used to synthesize space vector pulse width modulation (SVPWM) DTC scheme. The proposed ANN tool optimizes parameters proportional integral (PI) real-time data and offers splendid dynamic stability. response is examined over standard drive cycles validate performance eCAR in terms range energy efficiency using MATLAB simulation software.