• DocumentCode
    1764098
  • Title

    Evaluation Methodology and Control Strategies for Improving Reliability of HEV Power Electronic System

  • Author

    Yantao Song ; Bingsen Wang

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI, USA
  • Volume
    63
  • Issue
    8
  • fYear
    2014
  • fDate
    Oct. 2014
  • Firstpage
    3661
  • Lastpage
    3676
  • Abstract
    The reliability prediction of hybrid electric vehicles (HEVs) 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 configurations and topologies and can be used as an effective tool to improve the design and control of the overall system. This paper presents a mission-profile-dependent simulation model based on MATLAB for quantitatively assessing the reliability of the electric drivetrain of HEVs. This model takes into consideration the variable driving scenarios, dormant mode, electrical stresses, and thermal stresses. Therefore, more reliable and accurate prediction of system reliability has been achieved. The methodology is explained in detail, and the results of reliability assessment based on a series HEV are presented. Based on reliability analysis, two control strategies are proposed to increase the mean time to failure of HEV powertrains: 1) variable dc-link voltage control and 2) hybrid discontinuous pulsewidth modulation scheme. These novel control schemes reduce the power losses and thermal stresses of power converters, and consequently, enhance system reliability. Numerical simulation results verify the benefits of two proposed control strategies in terms of power losses and reliability.
  • Keywords
    PWM power convertors; hybrid electric vehicles; reliability; thermal stresses; voltage control; HEV power electronic system; HEV powertrains; Matlab; dormant mode; electric drivetrain; electrical stresses; hybrid discontinuous pulsewidth modulation scheme; hybrid electric vehicles; mean time to failure; mission-profile-dependent simulation model; numerical simulation; objective criterion; power converters; power losses; reliability assessment; reliability prediction; thermal stresses; variable dc-link voltage control; variable driving scenarios; vehicle control strategy; vehicle design; vehicle operation management; vehicle planning; Batteries; Insulated gate bipolar transistors; Inverters; Reliability; Stress; Traction motors; Vehicles; Discontinuous modulation; failure rate; hybrid electric vehicle (HEV); powertrain; reliability;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2014.2306093
  • Filename
    6739166