Title :
Traction Control System for EV Based on Modified Maximum Transmissible Torque Estimation
Author :
Ziyou Song ; Jianqiu Li ; Liangfei Xu ; Minggao Ouyang
Author_Institution :
Key Lab. of Automotive Safety & Energy, Tsinghua Univ., Beijing, China
Abstract :
Traction control system (TCS) of electric vehicles (EVs) without detecting vehicle velocity is drawing more and more attention. The most challenging problem in TCS is controlling the drive wheel with indirect control inputs. The maximum transmissible torque estimation (MTTE) method which is effective in terms of antiskid control has been proposed, however, this method is conservative because it cannot take sufficient advantage of adhesive force under constant torque condition even if the road is slippery. Therefore, a modified maximum transmissible torque estimation (M-MTTE) algorithm with a various relaxation factor is proposed in this paper. By analyzing and comparing the simulation results with prior control method, it is validated that M-MTTE is robust on antiskid control and achieves a better acceleration control effect.
Keywords :
electric vehicles; traction; EVs; M-MTTE algorithm; TCS; acceleration control effect; adhesive force; antiskid control; constant torque condition; drive wheel; electric vehicles; indirect control inputs; modified maximum transmissible torque estimation method; relaxation factor; traction control system; vehicle velocity;
Conference_Titel :
Vehicle Power and Propulsion Conference (VPPC), 2013 IEEE
Conference_Location :
Beijing
DOI :
10.1109/VPPC.2013.6671724