In order to maintain the handling stability of electric vehicles under different road conditions and ensure the good power performance and steering ability of vehicles. The fuzzy control theory was used to identify the maximum adhesion coefficient of the current road surface and determine the optimal slip rate of the road surface. Aiming at the optimal slip rate, the output torque of the motor is adjusted based on the sliding mode control theory to realize real time tracking of the wheel slip rate and maximize the power of the vehicle. The acceleration slip regulation control of dual-motor four-wheel drive vehicle was designed by Simulink, the vehicle model was built by Carsim, and the feasibility of the control was verified by joint simulation. The results show that the error of vehicle identifying the optimal road slip chamber is less than 7% when the drive acceleration slip regulation is involved. When the left and right road surface of the vehicle changes, the maximum lateral displacement and maximum steering wheel angle of the driving acceleration slip regulation control vehicle are 40% and 15% of the non-control vehicle, and the lateral stability optimization is obvious.