• DocumentCode
    2822110
  • Title

    A Fuzzy Logic Based Regenerative Braking Regulation For a Fuel Cell Bus

  • Author

    Yao, Jie ; Zhong, Zaimin ; Sun, Zechang

  • Author_Institution
    Tongji Univ., Shanghai
  • fYear
    2006
  • fDate
    13-15 Dec. 2006
  • Firstpage
    22
  • Lastpage
    25
  • Abstract
    For a fuel cell bus, it is significant to equip the regenerative break system to enhance the fuel economy. A two-input, one-output Mamdani´s fuzzy inference system is introduced to the regenerative braking model. Taking the safety working conditions of the batteries, the driving dynamics and the occupant comfort into consideration, the method can not only recycle the bus braking energy adequately, but also be adjusted easily according to the practical requirement. Through vehicle tests, the method proves to be a valid solution.
  • Keywords
    fuel cell vehicles; fuel cells; fuel economy; fuzzy set theory; inference mechanisms; power engineering computing; regenerative braking; road vehicles; Mamdani fuzzy inference system; bus braking energy; fuel cell bus; fuel economy; fuzzy logic; regenerative braking regulation; Batteries; Employee welfare; Fuel cells; Fuel economy; Fuzzy logic; Fuzzy systems; Recycling; Safety; Vehicle dynamics; Vehicles; Fuel cell bus; Fuel economy; Fuzzy inference; Regenerative braking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Electronics and Safety, 2006. ICVES 2006. IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    1-4244-0759-1
  • Electronic_ISBN
    1-4244-0759-1
  • Type

    conf

  • DOI
    10.1109/ICVES.2006.371546
  • Filename
    4233982