Research On Control Strategy And Central Control System Of Intelligent Electric Vehicle

With the continuous improvement of the existing technology of automobiles,the number of automobiles increased year by year,automobiles have become the first choice for most people to travel.However,a series of traffic congestion,traffic accidents,environmental pollution and energy losses have been triggered.It seriously affects people's travel efficiency,especially the frequent traffic accidents have caused serious losses to people's lives and property.Intelligent electric vehicle,which combines electric vehicle technology with intelligent control technology,can control the vehicle by replacing the driver by automatic driving.Its rapid response and accurate control can effectively avoid the collision probability between vehicles,reduce or even avoid the occurrence of traffic accidents.At the same time,intelligent electric vehicles uses renewable energy as fuel,instead of non-renewable oil,effectively reduce pollution,reduce energy consumption,can avoid many problems caused by traditional vehicles,has obvious advantages.In this paper,the stability of electric vehicle transverse and longitudinal control was studied and improved.Based on the requirement of intelligent control for transverse and longitudinal motion of intelligent electric vehicle in the course of road driving,the transverse and longitudinal control system of electric vehicle was studied by self-designed electric vehicle.This paper analyzed the vehicle control strategy of EV,expounded the structure and function of the vehicle controller,and designed the zoning control strategy of EV.The working state of automobile controller under different operation modes of electric vehicle was introduced.The control of automobile driving system and the optimization of vehicle energy were analyzed.The structure and dynamic parameters of the electric vehicle were measured by experiment,the two-degree-of-freedom motion differential equation and transverse dynamic model of the vehicle were established,and the transverse control strategy was studied;the transverse controller of the electric vehicle was designed by using the model predictive control algorithm;the front wheel angle,the transverse trackingdeviation and the yaw angle deviation were analyzed.The difference and the rate of change of the two variables were taken as the input variables of the system.After the feedback was obtained,the transverse tracking deviation,yaw angle deviation and the rate of change of the two variables were displayed as state variables.In the design of intelligent electric vehicle,stepping motor was used instead of traditional steering wheel to control vehicle steering.Push rod motor was used to control throttle opening and brake force.By controlling steering,throttle and braking,the automatic steering control function of electric vehicle was realized.In order to improve the driving stability of electric vehicles,based on vehicle longitudinal dynamics model and fuzzy PID control algorithm,the control strategy of electric vehicle throttle and braking was designed.The control strategy of the mutual conversion between throttle and brake,and the hardware and software structure of the vehicle control system were analyzed.In order to verify the reliability of the transverse and longitudinal control strategy,the controller was simulated and analyzed by LabVIEW.The control ability and response speed of the controller were observed under different road sections and different speed conditions.The simulation results showed that the intelligent electric vehicle transverse and longitudinal controllers can better control the vehicle to track and steer at a suitable speed.When the vehicle trajectory deviates,the controller could respond quickly and control the vehicle to return to the desired trajectory quickly and smoothly.