For the purpose of reducing fuel consumption, a hybrid heavy duty truck was considered. Generally, HV (Hybrid Vehicle)'s energy is regenerated from deceleration energy in urban area. Hybrid heavy duty truck's energy is regenerated from potential energy on highway. Under this circumstance, some portion of energy may not be accumulated, because capacity of HV battery is limited. In order to maximize accumulating energy in the next descent, HV battery's energy shall be adequately reduced beforehand. This can be achieved by optimizing motor assist torque considering road's altitude and gradient. In this paper, performance of the algorithm is discussed.


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    Titel :

    Development of Road's Gradient Anticipatory Algorithm for Hybrid Heavy Duty Truck


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Ishizaka, Hiroyuki (Autor:in) / Tanaka, Kazuo (Autor:in) / Tanaka, Motoyasu (Autor:in) / Tanaka, Yusuke (Autor:in)

    Kongress:

    SAE 2014 Commercial Vehicle Engineering Congress ; 2014



    Erscheinungsdatum :

    2014-09-30




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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