• 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