• DocumentCode
    2953330
  • Title

    Control Strategy and Simulation for Multi-Axis HEV

  • Author

    Zhu, Shishun ; Yang, Gang ; Xiao, Hui ; Ren, Yongle

  • Author_Institution
    Automobile Eng. Dept., Acad. of Mil. Transp., Tianjin, China
  • fYear
    2011
  • fDate
    30-31 July 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In order to improve engine efficiency and charge-discharge efficiency for multi-axis hybrid vehicle, a fuzzy control strategy is proposed by considering of battery SOC and request power. By using the simulation environment of ADVISOR 2002, the control strategy is analysed and simulated. And according to GJB3086-97, the power performance of the vehicle is tested. The results indicate that via the fuzzy control strategy engine efficiency can be increased by about 20% on average. Therefore, the fuzzy control strategy is more applicable to the all-wheel drive off-road vehicles in such heavy load and poor road conditions.
  • Keywords
    fuzzy control; hybrid electric vehicles; off-road vehicles; ADVISOR 2002; all-wheel drive off-road vehicles; charge-discharge efficiency; engine efficiency; fuzzy control strategy; multi-axis HEV; multi-axis hybrid vehicle; road conditions; Acceleration; Batteries; Engines; Fuzzy control; Hybrid electric vehicles; System-on-a-chip;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems Engineering (CASE), 2011 International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4577-0859-6
  • Type

    conf

  • DOI
    10.1109/ICCASE.2011.5997629
  • Filename
    5997629