Global optimization oriented energy control algorithms can improve fuel economy of HEV for certain driving cycle. But it can't be used for the other driving cycles. This paper built a adaptive energy control strategy based on driving cycle recognition. Through driving cycle and microtrip studying, analysis was made on characteristic parameters of driving cycles, based on which, ten parameters oriented algorithm for driving cycle LVQ neural net recognition are proposed. The simulation result shows that the precision of driving cycle recognition is very good.


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    Titel :

    Driving cycle recognition for hybrid electric vehicle


    Beteiligte:
    Xing, Jie (Autor:in) / Han Xuefeng (Autor:in) / Ye Hui (Autor:in) / Cui Yan (Autor:in) / Ye Huiping (Autor:in)


    Erscheinungsdatum :

    01.08.2014


    Format / Umfang :

    1549516 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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