• DocumentCode
    3479733
  • Title

    Optimization method for drive train topology design and control of electric vehicles

  • Author

    Bertram, Christiane ; Herzog, Hans-Georg

  • Author_Institution
    Inst. of Energy Conversion Technol., Tech. Univ. Munchen, München, Germany
  • fYear
    2013
  • fDate
    17-20 Nov. 2013
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    The present paper deals with an optimization problem of pure electric vehicles´ power trains. The energy consumption is strongly influenced by the size of the components of the vehicle and is highly dependent on the chosen topology. Therefore a method defining possible topologies of the drive train in advance of the optimization is presented in this paper. The chosen reasonable topologies are optimized with respect to the energy efficiency and the additional needed copper for the electrical machines and lithium for the energy storages using a Genetic Algorithm. The method, the chosen optimization algorithm and the results are presented and discussed within this paper.
  • Keywords
    copper; electric machines; electric vehicles; energy conservation; energy consumption; genetic algorithms; lithium; machine control; Cu; Li; drive train topology design; electric vehicles; electrical machines; energy consumption; energy efficiency; energy storages; genetic algorithm; optimization method; Batteries; Linear programming; Optimization; Topology; Vehicles; Wheels; drive train; electric vehicle; multi-objective optimization; topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Vehicle Symposium and Exhibition (EVS27), 2013 World
  • Conference_Location
    Barcelona
  • Type

    conf

  • DOI
    10.1109/EVS.2013.6914933
  • Filename
    6914933