• DocumentCode
    1458520
  • Title

    Simulation-based optimal sizing of hybrid electric vehicle components for specific combat missions

  • Author

    Fish, Scott ; Savoie, Troy B.

  • Author_Institution
    Inst. for Adv. Technol., Texas Univ., Austin, TX, USA
  • Volume
    37
  • Issue
    1
  • fYear
    2001
  • fDate
    1/1/2001 12:00:00 AM
  • Firstpage
    485
  • Lastpage
    488
  • Abstract
    The US Army and the Defense Advanced Research Projects Agency (DARPA) are currently supporting the development of conceptual military vehicle designs capitalizing on maturing technologies associated with hybrid electric vehicle propulsion and advanced electrical loads. Preliminary trade studies associated with these concepts often focus on determining the “best” mix of power system components to achieve the desired performance levels at a minimum overall impact on the vehicle. This paper describes an approach to this optimization through the use of vehicle performance simulation. By using simulation, one can address the complex relationship between the mission needs and the required subsystem performance in a dynamic environment. Results for three fictional mission sequences are provided to show how simulations can be used to insure that complex performance goals are met with minimum subsystem sizes. These minimum sizes can then form a baseline for further sizing constraints based on arrangements, availability, and other design considerations while minimizing overall design
  • Keywords
    electric propulsion; electric vehicles; electrothermal launchers; load (electric); military equipment; optimisation; pulsed power supplies; weapons; Defense Advanced Research Projects Agency; US Army; advanced electrical loads; combat missions; conceptual military vehicle designs; design considerations; dynamic environment; fictional mission sequences; hybrid electric vehicle components sizing optimisation; hybrid electric vehicle propulsion; sizing constraints; vehicle performance simulation; Batteries; Energy storage; Engines; Flywheels; Hybrid electric vehicles; Hybrid power systems; Marine animals; Power supplies; Power system modeling; Power system simulation;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/20.911883
  • Filename
    911883