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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    Title :

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


    Contributors:


    Publication date :

    2018-06-01


    Size :

    2888436 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English