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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    Title :

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


    Additional title:

    Sae Int. J. Engines


    Contributors:
    Gong, Qiuming (author) / Li, Yaoyu (author) / Peng, Zhong-Ren (author)

    Conference:

    SAE World Congress & Exhibition ; 2008


    Published in:

    Publication date :

    2008-04-14


    Size :

    12 pages




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English





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