TY - GEN
T1 - Motor torque based vehicle stability control for four-wheel-drive electric vehicle
AU - Li, Feiqiang
AU - Wang, Jun
AU - Liu, Zhaodu
PY - 2009
Y1 - 2009
N2 - 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/Simulink®. Simulation performance is evaluated in the Simulink®, 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.
AB - 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/Simulink®. Simulation performance is evaluated in the Simulink®, 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.
KW - Electric vehicle
KW - Motor torque based
KW - Vehicle stability control
UR - http://www.scopus.com/inward/record.url?scp=72149097847&partnerID=8YFLogxK
U2 - 10.1109/VPPC.2009.5289613
DO - 10.1109/VPPC.2009.5289613
M3 - Conference contribution
AN - SCOPUS:72149097847
SN - 9781424426003
T3 - 5th IEEE Vehicle Power and Propulsion Conference, VPPC '09
SP - 1596
EP - 1601
BT - 5th IEEE Vehicle Power and Propulsion Conference, VPPC '09
T2 - 5th IEEE Vehicle Power and Propulsion Conference, VPPC '09
Y2 - 7 September 2009 through 10 September 2009
ER -