• DocumentCode
    184185
  • Title

    A robust wheel slip control design for in-wheel-motor-driven electric vehicles with hydraulic and regenerative braking systems

  • Author

    Bin Wang ; Xiaoyu Huang ; Junmin Wang ; Xuexun Guo ; Xiaoyuan Zhu

  • Author_Institution
    Hubei Key Lab. of Adv. Technol. of Automotive Parts, Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    3225
  • Lastpage
    3230
  • Abstract
    A robust wheel slip ratio controller for in-wheel-motor-driven electric vehicles equipped with both hydraulic anti-lock braking systems (ABS) and regenerative braking (RB) systems is designed in this paper. Based on an integration of optimal predictive control design and Lyapunov theory, the issue of uncertain vehicle parameters is addressed. The corresponding braking torque distribution strategy between the RB and hydraulic braking (HB) is also introduced to achieve smooth regulation of the brake torque, such that the pedal pulsating effect of the traditional ABS system can be relieved. By utilizing the larger working range of the HB system and the higher bandwidth of the RB system, a better wheel slip ratio control performance can be obtained. The effectiveness of the proposed control system has been validated in Matlab/Simulink simulations.
  • Keywords
    Lyapunov methods; control system synthesis; digital simulation; electric vehicles; hydraulic systems; optimal control; predictive control; regenerative braking; road vehicles; robust control; torque; Lyapunov theory; Matlab-Simulink simulations; braking torque distribution strategy; hydraulic antilock braking systems; in-wheel-motor-driven electric vehicles; optimal predictive control design; pedal pulsating effect; regenerative braking systems; robust wheel slip control design; Control systems; Friction; Robustness; Torque; Vehicle dynamics; Vehicles; Wheels; Automotive;
  • 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.2014.6858977
  • Filename
    6858977