The Simulation And Design Of EV Motor Drive System

With the development of the world automobile industry, in the face of the emergence of problems such as oil shortage, climate change and other issues are becoming increasingly serious, the electric vehicle with zero emission pollution having become the inevitable trend of the future automotive industry development. The motor drive system is one of the research difficulties of the electric vehicle, to research and design higher control precision and better robustness motor drive control system is very important to improve performance of electric vehicle in the further.In this paper, the electric vehicle motor drive system as the main object of study, the induction motor as the drive motor, have constructed the rotor flux-oriented vector control with out velocity transducers model, and mainly sdudied the SVPWM dead zone compensation, PID control algorithm and the motor rotor flux observation.Detailly analyzed the dead-time compensation of SVPWM, in order to reduce voltage waveform distortion and electromagnetic torque ripple have designed a suitable dead-time compensation method, by adjusting the diffrent frequency of the stator current waveform comparison before and after compensation, verified the effectiveness of the algorithm.Detailly analyzed the PID controller algorithm, introduced the working principle, advantages and disadvantages of the traditional PID controller, and detailly analyzed the principle of RBF neural network and application it in the PID controller. On this basis, this article introduced based on numerical optimization of L-M (Levenberg Marquardt) algorithm to improve the RBF neural network. Have set up a simulation model for the RBF neural network PID controller, by analyzing the speed tracking to validate the superiority of the algorithm.Studied the rotor flux observation method, this paper introduces the principle and the insufficiency of several kinds of traditional measurement model, detailly analyzed the working principle of adaptive orthogonal compensation observer and simulation experiment, the results show that the observer can effectively restrain the integral drift, the measurement noise of the voltage and current and the motor parameters fluctuations, the rotor flux value accuracy is higher.Designed the electric vehicle motor drive system platform and given its topological structure, as STM32F103ZET6 for the main control chip finished the design of the hardware platform. For electric vehicle drive platform hardware composition and main functions, introduced the working principle and process of its software system. At last, by combining with the mian working condition of the electric vehicle to simulation of the designed system, that system can not only successfully implementation of excitation current and torque current decoupled, and can meet the requirements of key performance in the cases of the electric vehicle, achieved the goal of the design expectations, and provided for the system as a whole test research in the future technical foundation platform.