Title :
Torque allocation strategy of 4WID in-wheel motor electric vehicle based on objective optimization
Author :
Gang Qin ; Jianxiao Zou ; Hongbing Xu ; Xiaoshuai Xin ; Kai Li
Author_Institution :
Sch. of Autom. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
To achieve a better riding stability and dynamic characteristic, control strategies for torque allocation are proposed, and then the discussions for the proposed control strategy has conducted. In order to solve the torque optimization question, an objective optimization is proposed. Suitable characterizations of road condition and mechanical structure are used in the strategy to dynamically distribute the torque demand among four in-wheel motors. Simulation results indicate that control strategy for torque allocation with motors in normal state and failure state can achieve the designed demands well, and the dynamic performance of the distributed driving electric vehicles has been enhanced.
Keywords :
electric vehicles; failure analysis; optimisation; stability; torque; vehicle dynamics; 4WID in-wheel motor electric vehicle; control strategy; dynamic characteristic; electric vehicles; failure state; mechanical structure; normal state; objective optimization; riding stability; road condition; torque allocation strategy; torque demand; torque optimization question; Equations; Force; Resource management; Tires; Torque; Vehicles; Wheels; Automotive; Control applications;
Conference_Titel :
American Control Conference (ACC), 2014
Conference_Location :
Portland, OR
Print_ISBN :
978-1-4799-3272-6
DOI :
10.1109/ACC.2014.6858870