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.


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    Title :

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


    Additional title:

    Sae Technical Papers


    Contributors:
    Ge, Anlin (author) / Tan, Jingxing (author) / Yin, Xiaofeng (author) / Lei, Yulong (author)

    Conference:

    SAE 2005 World Congress & Exhibition ; 2005



    Publication date :

    2005-04-11




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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