DocumentCode
3395390
Title
The study of traction control system for Omni-directional electric vehicle
Author
Guoying Chen ; Changfu Zong ; Qiang Zhang ; Lei He
Author_Institution
State Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Changchun, China
fYear
2011
fDate
19-22 Aug. 2011
Firstpage
1590
Lastpage
1593
Abstract
Traction control system is studied based on the Omni-directional vehicle which is built by our research group. The research mainly involves two aspects, vehicle state estimation and vehicle traction control logic design. Extended Kalman Estimation relying on multiple degrees of freedom vehicle model is used to estimate vehicle longitudinal speed, lateral speed, side slip angle, and yaw rate. Traction control system calculates tire slip ratios of four wheels according to the estimated vehicle velocity, and then traction control logic is designed by PID control. Simulations based on Carsim and Matlab/Simulink show that vehicle state estimation algorithm estimates vehicle speed, side slip angle and yaw rate effectively, and traction control logic can prevent wheel from excessive spinning using by the estimated slip ratio to improve vehicle acceleration performance and directional stability.
Keywords
Kalman filters; control system synthesis; electric vehicles; stability; state estimation; three-term control; traction; velocity control; wheels; Carsim; Matlab; PID control; Simulink; directional stability; extended Kalman estimation algorithm; lateral speed; multiple degrees of freedom vehicle model; omnidirectional electric vehicle; vehicle acceleration performance; vehicle state estimation; vehicle traction control logic design; vehicle velocity estimation; wheels; Acceleration; Control systems; Mathematical model; State estimation; Traction motors; Vehicles; Wheels; PID control; tire slip ratios; traction control system; vehicle state estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronic Science, Electric Engineering and Computer (MEC), 2011 International Conference on
Conference_Location
Jilin
Print_ISBN
978-1-61284-719-1
Type
conf
DOI
10.1109/MEC.2011.6025780
Filename
6025780
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