• DocumentCode
    1617016
  • Title

    Quantitative evaluation for reliability of hybrid electric vehicle powertrain

  • Author

    Yantao Song ; Bingsen Wang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
  • fYear
    2013
  • Firstpage
    1404
  • Lastpage
    1409
  • Abstract
    The reliability prediction of hybrid vehicles is of paramount importance for planning, design, control and operation management of vehicles, since it can provide an objective criterion for comparative evaluation of various structures and topologies and can be used as an effective tool to improve the design and control of vehicles. This paper presents a load-dependent simulation model based on MATLAB for quantitatively assessing the reliability of hybrid electric vehicles. The model takes into consideration the variation of driving scenarios, dormant mode, electrical stresses, thermal stress and thermal cycling. Therefore the more reliable and accurate reliability prediction can be obtained. The model is demonstrated in detail and the result of reliability assessment based on a series hybrid electric vehicle is presented and analyzed.
  • Keywords
    hybrid electric vehicles; power transmission (mechanical); reliability; thermal stresses; MATLAB; dormant mode; driving scenarios; electrical stresses; hybrid electric vehicle powertrain; load-dependent simulation; reliability prediction; thermal cycling; thermal stress; vehicle control; vehicle design; Batteries; Insulated gate bipolar transistors; Inverters; Power system reliability; Reliability; Stress; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering, Energy and Electrical Drives (POWERENG), 2013 Fourth International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    2155-5516
  • Type

    conf

  • DOI
    10.1109/PowerEng.2013.6635820
  • Filename
    6635820