The use of fuel cell hybrid vehicles is a potential transport solution achieving zero emission once technical, economic, and social challenges are overcome. Energy management strategies on board remain an important research subject in a quest to find an efficient power splitting between the fuel cell system and the energy storage element of the hybrid powertrain. This paper proposes an online strategy based on a fuzzy decision system. Fine tuning of the fuzzy system parameters, mainly the membership functions, is made possible using a powerful optimisation tool which is a genetic algorithm. This optimisation procedure takes into consideration the minimisation of the hydrogen consumption while satisfying the requested power over a given driving cycle. The performance and robustness of the optimised fuzzy system was tested on two different mission power profiles showing quite acceptable results as compared to a dynamic programming based algorithm. As future perspectives, a thorough study will be made to define a quantitative relation between a certain profile and the optimised parameters obtained with the genetic algorithm in order to allow easy tuning and adaptation of the fuzzy system without having to repeat the optimisation procedure.


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    Title :

    Genetic algorithm fuzzy logic energy management strategy for fuel cell hybrid vehicle


    Additional title:

    Genetischer Algorithmus und Fuzzy-Logik-Energiemanagement-Strategie für Hybridfahrzeuge mit Brennstoffzelle


    Contributors:
    Hankache, W. (author) / Caux, S. (author) / Hissel, D. (author) / Fadel, M. (author)


    Publication date :

    2009


    Size :

    6 Seiten


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English





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