Study And Exploitation On Electronic Differential Control System For Electric Vehicles Based On Fuzzy Neural Network

As one of the important development trend for automobile industry,new-energy vehicles have attracted more and more attention around the world.The electric vehicle is one of the major branch of the new-energy vehicle,scholars and automobile companies in the world have paid much for its development,and a lot of exciting results have been achieved.The development of electric vehicles drived by hub motors have in these years attracted more and more interest because of its simple structure and flexible control.Hub motors are integrated into the tire,clutches,transmission mechanism and reduction gear boxes for traditional automobiles can be eliminated,resulting in the simplification of chassis structure and the reduction of vehicle mass.On the other hand,since each hub motor is controlled by one controller,independent control of each tire can be realized,which significantly improves the flexibility of vehicle driving,and meanwhile,it asks for a higher requirement for the motor control system.In this paper,electronic differential control system and its control strategy are discussed for electric vehicles drived by two hub motors.In chapter 1,the development of electric vehicles at home and aboard is introduced,especially for the electric vehicle drived by hub motors.In chapter 2,the relationship between each tire and the vehicle speed and steering angle during steering is discussed based on the Ackerman-Jeantand model for four-tire vehicles.In chapter 3,the theory of fuzzy neural network is introduced,including fuzzy control,radial basis function neural network and Takagi-Sugeno fuzzy neural network,and the structure and algorithm of the network are discussed.In chapter 4,in accordance with the fuzzy neural network theory,electronic differential control system for electric vehicles drived by two hub motors is discussed,including the control algorithm,and the design of hardware system and software system.In chapter 5,the Simulink model of electronic differential control system is built via the MATLAB environment,including the hub motor simulation model,fuzzy neural network controller and fuzzy PID controller,and the road test of a vehicle drived by two hub motors is introduced.In chapter 6,the conclusion of the paper and the development of electric vehicles in the future are discussed.The study of this paper shows that the differential rotation of two driving tires can be realize through the application of the electronic differential control system based on fuzzy neural network.The speed of two hub motor satisfies the requirements of the Ackerman-Jeantand steering model,and the errors are within the design requirement.