DocumentCode
499054
Title
Drivers´ braking intentions identification of EHB system based on fuzzy logic
Author
Li, Shou-Tao ; Guo, Li-Shu ; Xu, Hui ; Zong, Chang-Fu ; Shi, Rui-Kang
Author_Institution
Coll. of Commun. Eng., Jilin Univ., Changchun, China
Volume
1
fYear
2009
fDate
12-15 July 2009
Firstpage
619
Lastpage
624
Abstract
A new fuzzy logic control strategy of the EHB (electronic hydraulic braking) system is presented based on hardware-in-loop simulation test platform which can be used to identify the driver´s breaking intention. The brake torque command of the actuator is generated by closed loop fuzzy PID control methods which can control the switching of the solenoid valve to regulate the wheel brake cylinder pressure. Furthermore, hardware-in-the-loop simulation under critical driving conditions is conducted to test the effectiveness of the EHB controller that presented in this paper. The simulation result which shows very good performance in the emergency braking event, illustrates that the method presented in this paper not only has a high effectiveness to identify drivers´ braking intention, but also can shorten the response time of emergency braking to improve driving safety.
Keywords
braking; fuzzy control; hydraulic systems; road vehicles; three-term control; torque control; valves; closed loop fuzzy PID control methods; driver braking intentions identification; electronic hydraulic braking system; fuzzy logic control strategy; hardware-in-loop simulation test platform; solenoid valve switching control; Actuators; Driver circuits; Electronic equipment testing; Fuzzy control; Fuzzy logic; Logic testing; Pressure control; System testing; Three-term control; Torque control; Breaking intention; EHB system; Fuzzy logic; Vehicle;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location
Baoding
Print_ISBN
978-1-4244-3702-3
Electronic_ISBN
978-1-4244-3703-0
Type
conf
DOI
10.1109/ICMLC.2009.5212533
Filename
5212533
Link To Document