Performances, in terms of fuel consumption, of hybrid vehicles are strongly related to their control strategy. A first class of studies about this problem deals with instantaneous optimization algorithms/Paganelli 1999/Seiler & Schroder 1998/ /Yamaguchi & al. 1996/ designed for real time application. The second class is based on global optimization algorithms /Delprat & al. 1999/ and /Rimaux & al. 1999/. They outperform instantaneous optimization results, but require a lot of computing time and it seems hard to derive a real time strategy from them. This paper is focused on the control strategy issue applied to the described example of hybrid parallel single shaft architecture. A global optimization algorithm based on optimal control theory is presented. The results obtained with the optimal theory outperform the ones obtained by local and/or global strategies. A very interesting point is that this method can be easily used for real time application.


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    Title :

    Control strategy optimization for an hybrid parallel powertrain


    Contributors:
    Delprat, S. (author) / Guerra, T.M. (author) / Paganelli, G. (author) / Lauber, J. (author) / Delhom, M. (author)

    Published in:

    Publication date :

    2001


    Size :

    6 Seiten, 7 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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