To reach the goal of optimal performance match between engine and transmission, the dynamic characteristics of engine should be taken into consideration. In the paper, the dynamic torque and fuel consumption models of engine, described by a multi-layers feed forward neural network, were established. Based on that, the methods used to calculate the optimal dynamic and economical shift schedules with dynamic 3-parameters were put forward. The shift schedule with dynamic 3-parameters based on neural network model is proven to be superior to the shift schedule with only 2-parameters in both dynamic performance and fuel economy by the test.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Research on a Neural Network Model Based Automatic Shift Schedule with Dynamic 3-Parameters


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Ge, Anlin (Autor:in) / Tan, Jingxing (Autor:in) / Yin, Xiaofeng (Autor:in) / Lei, Yulong (Autor:in)

    Kongress:

    SAE 2005 World Congress & Exhibition ; 2005



    Erscheinungsdatum :

    11.04.2005




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch





    2005-01-1597 Research on a Neural Network Model Based Automatic Shift Schedule with Dynamic 3-Parameters

    Yin, X. / Tan, J. / Lei, Y. et al. | British Library Conference Proceedings | 2005


    Smart shift adaptive schedule for automatic transmissions

    Hebbale,K. / Kim,D. / Lee,C.J. et al. | Kraftfahrwesen | 2008


    Research on shift schedule of hybrid bus based on dynamic programming algorithm

    Yu, Huilong / Xi, Junqiang / Chen, Yongdan | IEEE | 2012


    Automatic transmission shift schedule control using fuzzy logic

    Yamaguchi,H. / Narita,Y. / Takahashi,H. et al. | Kraftfahrwesen | 1993