• DocumentCode
    165627
  • Title

    Energy management strategy to be used in design space exploration for electric powertrain optimization

  • Author

    Vaillant, M. ; Eckert, M. ; Gauterin, F.

  • Author_Institution
    Inst. of Vehicle Syst. Technol., Karlsruhe Inst. of Technol., Karlsruhe, Germany
  • fYear
    2014
  • fDate
    25-27 March 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Electric vehicle (EV) design offers additional degrees of freedom in powertrain layout. A tremendous number of topologies have to be compared to find the best one for a given set of requirements. An integrated approach is needed to increase powertrain efficiency not only on component level. In this paper a design space exploration (DSE) method is presented to study interdependencies of all involved components. The research is done for topologies with multiple motors (AWD) combined with multiple-speed gearboxes. The objective is a holistic topology optimization to increase driving range. The DSE´s key element which defines the energy management strategy (EMS) and computes consumption is discussed in detail. Dynamic programming (DP) is used to determine the most energy efficient operation strategy for the respective topology. Different methods for EMS definition are compared in terms of predicted load collectives, energy efficiency and computing time. Measures to reduce the prediction error for a fast backwards simulation are presented.
  • Keywords
    drives; dynamic programming; electric vehicles; energy conservation; energy management systems; power transmission (mechanical); AWD; DP; DSE method; EMS definition; EV design; all-wheel drive; computing time; design space exploration method; driving range; dynamic programming; electric powertrain optimization; electric vehicle design; energy efficiency; energy management strategy; holistic topology optimization; load collectives; multiple-speed gearboxes; powertrain efficiency; powertrain layout; prediction error; Computational modeling; Energy management; Gears; Mechanical power transmission; Topology; Torque; Vehicles; component sizing; design space exploration; dynamic programming; electric vehicle design; load collective; powertrain optimization; topology optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ecological Vehicles and Renewable Energies (EVER), 2014 Ninth International Conference on
  • Conference_Location
    Monte-Carlo
  • Print_ISBN
    978-1-4799-3786-8
  • Type

    conf

  • DOI
    10.1109/EVER.2014.6844026
  • Filename
    6844026