DocumentCode
2825947
Title
Model Predictive PID Traction Control Systems for Electric Vehicles
Author
Kawabe, Takashi
fYear
2012
fDate
3-5 Oct. 2012
Firstpage
112
Lastpage
117
Abstract
In this paper, a new model predictive PID control method for the traction control of EVs (electric vehicles) is proposed. The proposed method aims to improve the maneuverability and the stability of EVs by controlling the wheel slip ratio. The optimal control gains of PID framework are derived by the model predictive control (MPC) algorithm. There also include numerical simulation results to demonstrate the effectiveness of the method.
Keywords
electric vehicles; optimal control; position control; predictive control; road traffic control; stability; three-term control; traction; EV maneuverability; EV stability; MPC algorithm; PID traction control system; electric vehicles; model predictive control system; optimal control gains; wheel slip ratio; Force; Mathematical model; Predictive models; Roads; Torque; Vehicles; Wheels;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications (CCA), 2012 IEEE International Conference on
Conference_Location
Dubrovnik
ISSN
1085-1992
Print_ISBN
978-1-4673-4503-3
Electronic_ISBN
1085-1992
Type
conf
DOI
10.1109/CCA.2012.6402343
Filename
6402343
Link To Document