The BP neural network PID algorithm torque distribution control strategy for electric vehicle with in-wheel motor is proposed.Moreover,the vehicle control target parameters algorithm is researched by considering the change of the tire cornering stiffness which is caused by wheel vertical load transfer when vehicle is accelerating and steering,the researched algorithm establishes the internal relation of longitudinal and lateral acceleration-wheel vertical load-tire cornering stiffness-vehicle control target parameters.This method is applied to determine the desired vehicle yaw rate and slip angle.The simulation results show the effect of the BP neural network PID algorithm torque distribution control strategy with multi limitation conditions.The drivers driving task is performed safely which means the vehicle dynamic performance is satisfied under the condition that vehicle stability is ensured.