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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    Title :

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


    Additional title:

    Sae Technical Papers


    Contributors:
    Qiang, Han (author) / Minggao, Ouyang (author) / Fuyuan, Yang (author) / Ming, Zhou (author)

    Conference:

    SAE 2004 World Congress & Exhibition ; 2004



    Publication date :

    2004-03-08




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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