Design And Simulation Of Electric Vehicle Drive Control System Based On RBF

With the gradual popularization of electric vehicles,the application of adaptive cruise control(ACC)technology in electric vehicles has gradually been put on the agenda of major automobile manufacturers.Electric vehicles are driven by motors.Drivers can actively control acceleration pedals and brake pedals according to different driving environments to achieve acceleration or deceleration.However,in ACC system,the driving of electric vehicles depends entirely on the control algorithm to automatically control the driving current of the motor.The motor itself has strong coupling,non-linearity and other characteristics.The driving environment of the vehicle is complex and changeable,and it has many unpredictability.Therefore,an effective driving control algorithm of the electric vehicle is needed.The current drive control algorithm is not flexible enough in the harsh conditions such as rainy and snowy days,and the anti-jamming ability is poor.Therefore,it is important to study a new drive control algorithm for electric vehicles.Aiming at the above problems,relying on the good expression ability of the artificial neural network(ANN)for the non-linear system,a driving control scheme of electric vehicle based on Radial Basis Function(RBF)tuning PID is proposed.With RBF neural network as the core and MATLAB/Simulink as the simulation platform,the vector control model of electric vehicle drive motor is built.The simulation experiments are carried out on the model.The characteristics of motor output torque and speed response are analyzed.The longitudinal dynamic model of electric vehicle is established based on the safe workshop distance theory.On the basis of establishing the drive system and longitudinal dynamic model of electric vehicle,the drive control mode of electric vehicle is divided into two kinds:constant speed cruise control and following cruise control,and constant speed cruise control is divided into two kinds:front vehicle and no front vehicle.The longitudinal speed of the vehicle is taken as the controlled object,and the acceleration or deceleration of the electric vehicle is simulated by inputting different speed instructions.The control effects of RBF tuning PID control algorithm and BP tuning PID control algorithm are compared in two driving control modes.In order to verify that the speed response of electric vehicle has better anti-jamming ability under the RBF tuning PID control,the simulation experiments on the condition of vehicle uphill and downhill are also carried out.The results show that the control of electric vehicle based on RBF tuning PID has faster speed response and better anti-jamming ability than BP tuning PID control.At the end of this paper,the function analysis and design of the main hardware and software of the drive control system of electric vehicle are given.