The plug-in hybrid electric vehicles (PHEV), utilizing more battery power, has become a next-generation HEV with great promise of higher fuel economy. A nearly global optimization based charge-depletion control strategy is developed for PHEV power management by using the Intelligent Transportation Systems (ITS). Trip model is obtained via GPS, GIS, real-time and historical traffic flow data and advanced traffic flow modeling. The Gipps car-following model [42] is used for the local road trip modeling along with the synchronization of the traffic signal sequences. The gas-kinetic model [53] was used for the freeway trip modeling. These trip modeling schemes are validated with simulation.


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    Titel :

    Trip Based Optimal Power Management of Plug-in Hybrid Electric Vehicle with Advanced Traffic Modeling


    Weitere Titelangaben:

    Sae Int. J. Engines


    Beteiligte:
    Gong, Qiuming (Autor:in) / Li, Yaoyu (Autor:in) / Peng, Zhong-Ren (Autor:in)

    Kongress:

    SAE World Congress & Exhibition ; 2008


    Erschienen in:

    Erscheinungsdatum :

    14.04.2008


    Format / Umfang :

    12 pages




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch





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    Gong, Q. / Li, Y. / Peng, Z.-R. et al. | British Library Conference Proceedings | 2008


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