By studying the close relationship between the motor performance and the load during brushless DC motor (BLDCM) operation in electric vehicle, aiming at the application of BLDCM, an improved generalized predictive control algorithm was proposed. By analyzing the mathematical model of BLDCM in simulation model, the control system of BLDCM was established and simulated. The simulation results showed that, compared with the traditional PID control algorithm, the load steadystate accuracy and maximum speed fluctuation of BLDCM could be significantly improved when the improved generalized prediction algorithm was adopted. The method had the advantages of fast response, high control precision, Interference ability and other characteristics. Therefore, this simulation control model could meet the requirements of BLDCM running in electric vehicle.