| The Electrical Vehicle(EV) is an important branch of the vehicle development in the world, it concerns vehicle project, electrical motor and its driving technology, control technology, battery technology etc. The In-wheel Driven Electric Vehicle (EV) is one of the developing directions for further EVs. Its development has been synchronizing with that of the researching and industrializing of EVs in the world. Because of its perfect controlling performance and potential in engineering applications, more and more efforts have been devoted to the In-wheel Driven EV by both academicians and engineers alike. This thesis strives to the comprehensive study of control system for a two In-wheel Driven EV based on embedded ARM7 Microprocessor.Brushless DC motor control and Electric Differential (ED) control are the cores of EV control system. By the analysis of motor-driven theory, the thesis gives detailed control plan. On the basis of hardware circuit design, we carry out a detailed analysis of questions involved by motor-driven: motor start,positive inversion control,limiting control,relationship between speed and the PWM duty cycle,PID control of motor speed etc. This thesis realize electronic differential control by using BP neural network, the steering angle and the vehicle speed treat as inputs of the BP neural network and output the two rear-wheel speeds. The whole process realized by using software, the differential effect is good for the medium and low speed,the single case road condition. In the communication, the design of CAN bus communication module, which sends informations to the instrument panel facilitate the full function of the future.Finally, we achieve a good simulation results of Electronic Differential by using MATLAB .The thesis designs the control system based on ARM7 Microprocessor, and is used in experimental vehicle, which can realize the functions of forward,back,automatic cruise,ED,motor over-current protection,Battery under-voltage protection and CAN bus communication etc. Through a lot of testing and simulations , the Electrical Vehicle runs stability. |