The large amount of controllable fuel injection parameters of Diesel engine equipped with high pressure common-rail fuel injection system makes the control of combustion more flexible, and also makes the workload of calibration and optimization much heavier. For higher efficiency, model-based approaches are presented and researched. This contribution presents a new method for modeling which is constituted by Neural Network and Adaptive Network-based Fussy Inference System (ANFIS). The experiment is carried out on a 6-cylinder common rail diesel engine. The analysis and experiment show that effective modeling can be achieved using this method.


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    Titel :

    Study on Modeling Method for Common Rail Diesel Engine Calibration and Optimization


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Qiang, Han (Autor:in) / Minggao, Ouyang (Autor:in) / Fuyuan, Yang (Autor:in) / Ming, Zhou (Autor:in)

    Kongress:

    SAE 2004 World Congress & Exhibition ; 2004



    Erscheinungsdatum :

    08.03.2004




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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