• DocumentCode
    1536003
  • Title

    Battery State-of-Health Perceptive Energy Management for Hybrid Electric Vehicles

  • Author

    Ebbesen, Soren ; Elbert, Philipp ; Guzzella, Lino

  • Author_Institution
    Dept. of Mech. & Process Eng., ETH Zurich, Zurich, Switzerland
  • Volume
    61
  • Issue
    7
  • fYear
    2012
  • Firstpage
    2893
  • Lastpage
    2900
  • Abstract
    This paper presents a causal optimal control-based energy management strategy for a parallel hybrid electric vehicle (HEV). This strategy not only seeks to minimize fuel consumption while maintaining the state-of-charge of the battery within reasonable bounds but to minimize wear of the battery by penalizing the instantaneous battery usage with respect to its relative impact on battery life as well. This impact is derived by means of a control-oriented state-of-health model. The results indicate that the proposed causal strategy effectively reduces battery wear with only a relatively small penalty on fuel consumption. Ultimately, in terms of cost of fuel and battery replacements, the total cost of ownership over the entire life of the vehicle is significantly reduced.
  • Keywords
    battery management systems; hybrid electric vehicles; optimal control; HEV; battery replacements; battery state-of-health perceptive energy management; control-oriented state-of-health model; fuel consumption; fuel cost; hybrid electric vehicles; instantaneous battery; optimal control-based energy management strategy; Batteries; Computational modeling; Electronic countermeasures; Energy management; Fuels; Mathematical model; Optimal control; Batteries; energy management; optimal control; road vehicle propulsion;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2012.2203836
  • Filename
    6214629