• DocumentCode
    174241
  • Title

    Optimization loops as method for analysis of boost recuperation systems

  • Author

    Dirnberger, Markus ; Retana, Roberto ; Hartmann, Sven Oliver ; Herzog, Hans-Georg

  • Author_Institution
    Robert Bosch GmbH, Stuttgart, Germany
  • fYear
    2014
  • fDate
    22-24 May 2014
  • Firstpage
    498
  • Lastpage
    505
  • Abstract
    The reduction of CO2 emissions and fuel consumption is a continuous challenge towards the optimization of hybrid and electric vehicles. The approach in this paper is to use the claw pole alternator as boost-recuperation-machine (BRM), to realize a mild hybrid electrical vehicle. The investigated parameters are the control strategy and the pulley ratio of the BRM. These parameters are easily adjustable and influence the fuel consumption in the range of several ml/100km. For such minimal fuel savings an appropriate method is needed, which differs fundamentally to full hybrid optimization methods. To assess such small values the State-of-Charge (SOC) in the battery must be kept neutral during a driving cycle. Besides the SOC-neutral driving and a fast convergence behavior is essential. Consequently, several methods for optimization are considered, compared and improved. To improve the optimization progress optimization loops are used to analyze and optimize the system. Finally, the developed method is applied on a boost-recuperation-system (BRS) to minimize the fuel consumption.
  • Keywords
    air pollution control; alternators; fuel economy; hybrid electric vehicles; machine control; optimisation; battery state-of-charge; boost recuperation machine; boost recuperation system; carbon dioxide emission reduction; claw pole alternator; fuel consumption reduction; hybrid electrical vehicle; neutral driving; optimization loop; Batteries; Fuels; Generators; Linear programming; Optimization; Pulleys; System-on-chip;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Optimization of Electrical and Electronic Equipment (OPTIM), 2014 International Conference on
  • Conference_Location
    Bran
  • Type

    conf

  • DOI
    10.1109/OPTIM.2014.6850872
  • Filename
    6850872