The available capacity computation model based on the artificial neural network (ANN) for lead-acid batteries in an electric vehicle (EV) is presented. Compared with the methods based on the Peukert equation, which is often used for the calculation of the available capacity for lead-acid batteries in EVs, this model is more accurate. The results of the experiment have proven the accuracy of the proposed model; the computation values are in good agreement with experimental data, the associated error has been considered acceptable from an engineering point of view.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    The available capacity computation model based on artificial neural network for lead-acid batteries in electric vehicles


    Beteiligte:
    Chan, C.C. (Autor:in) / Lo, E.W.C. (Autor:in) / Shen, Weixiang (Autor:in)

    Erschienen in:

    Journal of Power Sources ; 87 , 1/2 ; 201-204


    Erscheinungsdatum :

    2000


    Format / Umfang :

    4 Seiten, 4 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch