Research On The Intelligent Drive Control System For Electric Vehicles Based On DSP

In order to solve the problems of the energy shortage and environmental pollution, thedevelopment of electric vehicle technology is increasingly concerned. Because of the batterytechnology has not been breakthrough; the drive control system of electric vehicle naturalbecame the focus of research.It has been summarized in the operation characteristics of electric vehicle drive controlsystem and the development of motor speed controller at home and abroad. In this premisesituation, first of all, it has been determined the TMS320F2812，and as the main control core.This paper is based on the permanent magnet brushless dc motor (PMBLDCM) through theselected DC Motor’s model. It has the higher operation efficiency and better speed controlperformance compared with other Motors. So it widely used in higher control precisionindustrial sites. We established the mathematical model and designed the platform of hardwarecontrol. And then we used the software MATLAB to analysis the intelligent driving system ofthe electric car. We also selected the parameter and did the further simulation. It mainlyintroduces PMBLDCM’s mathematical model and the operating characteristics. It alsointroduces the adaptive Fuzzy-PID control algorithm, Then through the waveform summarizesand analyzes the control system of the specific performance. Through this kind of controlalgorithm, not only can meet the control system to the requirements of the response speed, andfrom different extent improve the motor driving capability, in order to make its can be a verygood adapted to practical work requirements road conditions.Finally it becomes a set of control core with permanent magnet and TMS320F2812chip. Inorder to improve electric vehicle drive performance to design a key intelligent drive controlsystem, perfect the previous drive control system in of shortage, for future intelligent driving to amore stable, accurate and rapid development and lay the good foundation.