TCS Fuzzy Control For Electric Vehicle

Traction control system(TCS)is a kind of active safety control system.It is an extension of the antilock brake systems(ABS).Through controlling automotive drives and roller-blading turning rate,TCS can prevent the driving wheels of cars from excessive spin at the beginning,accelerating and hill-climbing maneuvers.TCS can make sure the cars get the maximum traction and the best driving stability through using full of vertical adhesion and lateral adhesion from the ground as to inhance stability of the vehicle.This study is designed to get the knowledge of the traction control system for electric vehicles.We choose the hub motor as the leading program.We can adjust the voltage of the motor to control the output torquethe which can keep the slip ratio of the wheels at 16%.If the slip ratio of the wheels up to 16%,the ground can supply the maximum longitudinal adhesion coefficient and the perfect longitudinal adhesion coefficient.The main research contains the following several parts:(1)Selection and modeling.First,we have researched the structure of the electric vehicles in the program.Then we establish the dynamic model?motor model?wheel model and the slip ratio calculate medel.(2)The research of fuzzy control.First,we design a PID controller.It can simulate the electric cars and analyze the ability of self-control and robustness of cars on three kinds of different grounds.We use the control of PID as the control group.We have found that PID control have some features such as smooth trasition,none of steady-state error and adaptive capacity.The most important feature for electric cars is that it is very comfortable for the cars to work on the road with low friction coefficient.At the same tiome,fuzzy control has the features that shorter transition time,and this control is more comfortable of working on the ground with high friction coefficient.(3)The research of fuzzy PID compensation.As the PID control and fuzzy control has its each advantage,we want to imagine making the two parts together like the style of compensation controlt.Through simulation we can find that:compensation control perform well on the transition time,steady-state error and adaptive capacity.These can express that compensation is possible.