This paper presents the modeling, control and simulation of an electric vehicle with four in-wheel 15 kw induction motors drive 4WDEV controlled by a direct torque control DTC strategy, where two control techniques are presented and compared for controlling the electric vehicle speed: the first one is based on a classical PI controller while the second one is based on a fuzzy logic controller (FLC). The aim is to evaluate the impact of the proposed FLC controller on the efficiency of the 4WDEV taking into account vehicle dynamics performances, autonomy and battery power consumption. When the classical controller can't ensure the electric vehicle stability in several road topology situations. To show the efficiency of the proposed new control technique on the traction system by 4WDEV. The vehicle has been tested in different road constraints: straight road, sloping road and curved road to the right and left using the Matlab / Simulink environment. The analysis and comparison of the simulation results of FLC and PI controllers clearly show that the FLC ensures better performances and gives a good response without overshoot, zero steady state error and high load robustness rejection, compared to the PI controller which is present an overshoot equal 7.3980% and a rise time quite important (0.2157 s with PI controller and 0.1153 s with FLC). As well as the vehicle range has been increased by about 10.82 m throughout the driving cycle and that the energy consumption of the battery has been reduced by about 1.17% with FLC.

No abstract

No abstract

No abstract

In this paper, we will study a four-wheel drive electric vehicle (4WDEV)with two control strategies: conventional direct torque control CDTC and DTC based on fuzzy logic (DTFC). Our overall idea in this work is to show that the 4WDEV equipped with four induction motors providing the drive of the driving wheels controlled by the direct fuzzy torque control ensures good stability of the 4WDEV in the different topologies of the road, bends and slopes. and increases the range of the electric vehicle. Numerical simulations were performed on an electric vehicle powered by four 15 kW induction motors integrated into the wheels using the MATLAB / Simulink environment, where the reference speeds of each wheel (front and rear) are obtained using an electronic speed differential (ESD). This can eventually cause it to synchronize the wheel speeds in any curve. The speed of each wheel is controlled by two types of PI and FLC controllers to improve stability and speed response (in terms of setpoint tracking, disturbance rejection and climb time). Simulation results show that the proposed FLC control strategy reduces torque, flux and stator current ripple. While the4WDEV range was improved throughout the driving cycle and battery power consumption was reduced.