DocumentCode :
183860
Title :
Coordinated control of longitudinal/lateral/vertical tire forces for distributed electric vehicles
Author :
Yugong Luo ; Kun Cao ; Keqiang Li
Author_Institution :
Dept. of Automotive Eng., Tsinghua Univ., Beijing, China
fYear :
2014
fDate :
4-6 June 2014
Firstpage :
3905
Lastpage :
3910
Abstract :
In this paper, a novel coordinated control method of longitudinal/lateral/vertical tire forces is proposed which overcomes the shortcomings of current studies on global chassis control for electric vehicles. An objective function combining the tire workload and the dynamic ratio of vertical forces is developed, 15 equality and inequality constraints including desired driving demands, tire friction limitations and actuator characteristics are considered, and a non-convex optimization problem with multiple constraints for coordinated control of longitudinal/lateral/vertical tire forces is formulated. An optimization algorithm combining constrained optimization and feasible region planning is proposed to solve this key problem. Finally, simulations based on Matlab/Simulink and CarSim are conducted, demonstrating that the proposed coordinated control method controls vehicle attitude effectively and improves handling stability simultaneously, while providing better stability and robustness over other methods.
Keywords :
actuators; attitude control; concave programming; distributed parameter systems; electric vehicles; force control; stability; CarSim; Matlab-Simulink; actuator characteristics; constrained optimization; coordinated control method; distributed electric vehicles; driving demands; dynamic ratio; equality constraints; global chassis control; handling stability; inequality constraints; lateral tire forces; longitudinal tire forces; nonconvex optimization problem; objective function; region planning; tire friction limitations; tire workload; vehicle attitude control; vertical tire forces; Acceleration; Force; Optimized production technology; Suspensions; Tires; Vehicles; Automotive; Nonlinear systems; Optimal control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2014
Conference_Location :
Portland, OR
ISSN :
0743-1619
Print_ISBN :
978-1-4799-3272-6
Type :
conf
DOI :
10.1109/ACC.2014.6858816
Filename :
6858816
Link To Document :
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