DocumentCode :
1936363
Title :
Motor torque based vehicle stability control for four-wheel-drive electric vehicle
Author :
Li Feiqiang ; Wang Jun ; Liu Zhaodu
Author_Institution :
Sch. of Mech. & Vehicular Eng., Beijing Inst. of Technol., Beijing, China
fYear :
2009
fDate :
7-10 Sept. 2009
Firstpage :
1596
Lastpage :
1601
Abstract :
Motor torque based active yaw moment control law is investigated in this paper, based on which vehicle stability control algorithm for four-wheel-drive electric vehicle is proposed using fuzzy logic control method. As four motors are mounted in the four wheels individually to drive the vehicle, it has great advantage to use the advanced motion control technique to enhance vehicle stability. The four driving and braking forces can be controlled independently to generate active yaw moment. However it is more complex to allocate the desired yaw moment to over-actuators. So the control law for fuzzy logic control algorithm is designed based on the dynamic analysis of vehicle instability. The electric vehicle models including motor model, dynamic battery model, tire model and vehicle dynamics model are built in MATLAB/Simulinkreg. Simulation performance is evaluated in the Simulinkreg, and the results have shown that the design control law and fuzzy logic controller can enhance the yaw stability and improve the maneuverability of the vehicle significantly.
Keywords :
braking; electric vehicles; fuzzy control; stability; MATLAB; Simulink; active yaw moment control law; braking forces; design control law; dynamic battery model; electric vehicle models; four-wheel-drive electric vehicle; fuzzy logic control algorithm; fuzzy logic controller; motor torque; vehicle stability control; Algorithm design and analysis; Electric vehicles; Fuzzy logic; Mathematical model; Motion control; Stability; Torque control; Vehicle driving; Vehicle dynamics; Wheels; electric vehicle; motor torque based; vehicle stability control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicle Power and Propulsion Conference, 2009. VPPC '09. IEEE
Conference_Location :
Dearborn, MI
Print_ISBN :
978-1-4244-2600-3
Electronic_ISBN :
978-1-4244-2601-0
Type :
conf
DOI :
10.1109/VPPC.2009.5289613
Filename :
5289613
Link To Document :
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