• DocumentCode
    2189911
  • Title

    Energy management strategy for a parallel hybrid electric vehicle using fuzzy logic

  • Author

    Hannoun, H. ; Diallo, D. ; Marchand, C.

  • Author_Institution
    Lab. de Genie Electrique de Paris, CNRS, Paris
  • fYear
    2006
  • fDate
    23-26 May 2006
  • Firstpage
    229
  • Lastpage
    234
  • Abstract
    In this paper a fuzzy logic, rule based control strategy is proposed for a parallel hybrid electric vehicle (HEV). The strategy controls the amount of energy flow among components in order to satisfy the driver demand, optimize energy consumption and reduce polluting emissions. After modelling powertrain components, the strategy is tested by simulation with three speed cycles. An improvement of the ICE efficiency, therefore a reduction of the polluting gas, is obtained and revealed by the operating points of the ICE in the torque speed frame
  • Keywords
    air pollution control; fuzzy control; hybrid electric vehicles; internal combustion engines; load flow control; power consumption; testing; HEV; ICE efficiency; energy consumption; energy flow controls; energy management strategy; fuzzy logic; fuzzy rule based control strategy; parallel hybrid electric vehicle; polluting emissions reduction; polluting gas reduction; powertrain components; three speed cycles; torque speed frame; Batteries; Electric motors; Energy management; Fuzzy logic; Hybrid electric vehicles; Ice; Mechanical power transmission; Pollution; Propulsion; Road vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics, Electrical Drives, Automation and Motion, 2006. SPEEDAM 2006. International Symposium on
  • Conference_Location
    Taormina
  • Print_ISBN
    1-4244-0193-3
  • Type

    conf

  • DOI
    10.1109/SPEEDAM.2006.1649776
  • Filename
    1649776