Adaptive Fuzzy PI of Double Wheeled Electric Vehicle Drive Controlled by Direct Torque Control

This paper presents a novel speed control design of electric vehicle (EV) to improve the comportment and stability under different road constraints condition. The control circuit using adaptive fuzzy PI controller is proposed. Parameters which guide the functioning of PI controller are dynamically adjusted with the assistance of fuzzy control. The EV is powered by two motors of 37 kilowatts each one, delivering a 476 Nm total torque. Its high torque (476Nm) is instantly available to ensure responsive acceleration performance in built-up areas. The electric drive canister of tow directing wheels and two rear propulsion wheels equipped with two induction motors thanks to their light weight simplicity and their height performance. Acceleration and steering are ensure by electronic differential, the latter control separately deriving wheels to turn at any curve. Electric vehicle are submitted different constraint of road using direct torque control. Electric vehicle are simulated in MATLAB SIMULINK. The simulation results have proved that the Adaptive fuzzy PI control method decreases the transient oscillations and assure efficiency comportment in all type of road constraints, straight, slope, descent and curved road compared to the conventional PI controller.