• DocumentCode
    1942116
  • Title

    Fuzzy optimal control and simulation of battery-ultracapacitor dual-energy source storage system for pure electric vehicle

  • Author

    Wang, Guiping ; Yang, Panpan ; Zhang, Jinjin

  • Author_Institution
    Dept. of Autom., Chang´´an Univ., Xian, China
  • fYear
    2010
  • fDate
    13-15 Aug. 2010
  • Firstpage
    555
  • Lastpage
    560
  • Abstract
    In order to enhance the performance of pure electric vehicle (PEV), the dual-energy source storage system, which is composed of battery and Ultracapacitor, is established. By employing fuzzy logic control theory, the energy management control strategy is presented according to the energy requirement for PEV. It can split the power between battery and ultracapacitor in a more reasonable way to satisfy the demands of better performance. The result shows that the dual-energy source management system with fuzzy optimal control strategy is more effective than logic threshold control strategy in reducing the current of battery, enhancing the start-up and acceleration performance of PEV, improving the energy recovery efficiency and prolonging its driving range.
  • Keywords
    electric vehicles; energy management systems; energy storage; fuzzy control; optimal control; secondary cells; supercapacitors; battery ultracapacitor; dual energy source storage system; energy management control strategy; fuzzy logic control theory; fuzzy optimal control; logic threshold control strategy; pure electric vehicle; Acceleration; Batteries; Electric vehicles; Mathematical model; Optimal control; Supercapacitors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Information Processing (ICICIP), 2010 International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-7047-1
  • Type

    conf

  • DOI
    10.1109/ICICIP.2010.5564185
  • Filename
    5564185