Title :
Study on the braking force allocation dynamic control strategy based on the fuzzy control logic
Author :
Chu, Liang ; Yao, Liang ; Yin, Jian-kun ; Chao, Li-bo ; Wei, Wei
Author_Institution :
Key Lab. of Automobile Dynamic Simulation, Jilin Univ., Changchun, China
Abstract :
The regenerative braking in the electric vehicle is a double-edge sword, which betters the energy saving effect but increase the unsafe hidden dangerous during braking. A braking force allocation dynamic control strategy has been studied in this paper to solve the contradiction between the energy saving and brake security. There are multiple factors to be considered simultaneously, such as the displacement of the brake pedal, the variation rate of the brake pedal displacement, the vehicle speed, the wheel slip rate error and the variation rate of which. So the fuzzy logic controllers are used to solve this problem based on the expert experiences. The results simulated in the Matlab/Simulink model certify that the energy is recovered as much as possible under guaranteeing the wheels out of locking.
Keywords :
electric vehicles; expert systems; force control; fuzzy control; regenerative braking; Matlab-Simulink model; brake pedal displacement; brake security; braking force allocation dynamic control strategy; double-edge sword; electric vehicle speed; energy saving effect; fuzzy control logic; fuzzy logic controller; regenerative braking; variation rate; wheel slip rate error; Axles; Force; Fuzzy logic; Resource management; Vehicle dynamics; Vehicles; Wheels; Braking force allocation; dynamic control; fuzzy logic;
Conference_Titel :
Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18Th International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-61284-446-6
DOI :
10.1109/ICIEEM.2011.6035237