Acceleration slip regulation of electric racing cars based on nonlinear MPC
In this paper,the acceleration slip regulation(ASR)of wheel-driven electric racing cars is implemented using a nonlinear model predictive control(MPC)strategy.In order to achieve optimal longitudinal acceleration and tire grip performance for electric racing cars,the wheel slip stability re-gion is utilized as a temporal constraint within the nonlinear model predictive control framework,and a wheel-side motor slip ratio control model is established.By integrating a racing aerodynamics pack-age and tire characteristics,a cost function for the ASR model is developed in MATLAB/Simulink software to balance multiple objectives,including target slip ratio,target torque rate of change,and maximum torque limitation.Through combined simulations using CarSim and MATLAB/Simulink,as well as semi-physical experiments on a test bench,the effectiveness and reliability of the model are verified.The results of the combined simulations and experimental validations illustrate that the pro-posed approach effectively enhances the longitudinal performance of the racing cars.
nonlinear model predictive control(MPC)acceleration slip regulation(ASR)slip ratee-lectric racing cars
NETL
NSTL
万方数据
维普
