Comparison of ANN- and GA-based DTC eCAR

In this paper, an artificial intelligence (AI)-integrated direct torque control (DTC) scheme is developed for electric vehicle (EV or eCAR) propulsion motor drive. addition, a comparison made between adaptive neural network (ANN) and genetic algorithm (GA)-based controllers. The integration of AI into EVs has attracted the attention many researchers in terns if drive control, dynamic stability, speed estimation, energy management strategies. Amidst various strategies, DTC schemes with space vector pulse width modulation (SVPWM) have gained prominence due to its fast (speed) capability. smooth DTC-eCAR accomplished by use algorithms. applications ANN GA algorithms tuning controller are tested behavior eCAR terms range, percentage state charge (SOC), consumption different driving conditions observed using MATLAB simulations.