• DocumentCode
    2441295
  • Title

    Fuzzy Logic Approach to Regenerative Braking System

  • Author

    Zhang, Jing-Ming ; Song, Bao-Yu ; Cui, Shu-Mei ; Ren, Dian-Bo

  • Author_Institution
    Sch. of Mech. & Electr. Eng., Harbin Inst. of Technol., Harbin, China
  • Volume
    1
  • fYear
    2009
  • fDate
    26-27 Aug. 2009
  • Firstpage
    451
  • Lastpage
    454
  • Abstract
    In order to enhance the recycling and using efficiency of the regenerative braking energy of HEV(hybrid electric vehicle), this article applies the FLC(fuzzy logic control)in the brake energy recovery system, designs the fuzzy logic controller structure and model, and inserts it to the vehicle model to carry on the simulation analysis under ADVISOR environment. Compared with the traditional electricity secondary control strategy, using the fuzzy logic control strategy, the engine and the accumulator cell work much more steadily, and the recovery efficiency of the regenerative braking energy gets higher.
  • Keywords
    control system synthesis; energy storage; fuzzy control; hybrid electric vehicles; regenerative braking; ADVISOR environment; brake energy recovery system; fuzzy logic control strategy; hybrid electric vehicle; regenerative braking system; Friction; Fuzzy logic; Hybrid electric vehicles; Inductance; Intelligent systems; Machinery; Niobium; Recycling; Switches; Voltage; Control strategy; FLC; HEV; Regenerative Braking; Simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics, 2009. IHMSC '09. International Conference on
  • Conference_Location
    Hangzhou, Zhejiang
  • Print_ISBN
    978-0-7695-3752-8
  • Type

    conf

  • DOI
    10.1109/IHMSC.2009.120
  • Filename
    5336112