The purpose of this study is to model battery packs integrated in a ten fuel cell hybrid electric vehicle fleet developed among the European project Mobypost dedicated to postal delivery applications. This project led to create and feed a big database as the vehicles were deeply monitored. Thanks to this database and Big-Bang Big-Crunch optimization algorithm this paper proposes a method to model battery using real driving cycle data in few minutes with a NRMSE less than 0.02.


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    Titel :

    Battery Modeling using Real Driving Cycle and Big-Bang Big-Crunch algorithm


    Beteiligte:
    Vichard, Loic (Autor:in) / Morando, Simon (Autor:in) / Ravey, Alexandre (Autor:in) / Harel, Fabien (Autor:in) / Venet, Pascal (Autor:in) / Pelissier, Serge (Autor:in) / Hissel, Daniel (Autor:in)


    Erscheinungsdatum :

    01.06.2018


    Format / Umfang :

    2888436 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch