The growing complexity of power-train control increases dramatically the number of tests. In order to minimize the number of tests and to optimize the calibration process, RENAULT uses three main ways linked to simulation. The easiest way consists in standardising the best tune from one application to another. This phase is already largely used. It only needs an organized database combined with expert knowledge. A more powerful way consists in using DOE. RENAULT has developed DOE and statistic modelling technique in order to create a virtual engine (Response = f(command)). However, the most promising way is to develop model-based algorithms. For the moment, these models concerns only some few subsystems, but RENAULT targets a virtual engine fitting all the different subsystems. The first use of these models aims to optimize the ECU calibrations. RENAULT develops injection model for mapping and vehicle transmission model for anti-jerk tuning. This operation uses simulation and/or HIL bench. A second use declines these models on physical adaptive algorithms incorporated in ECU algorithms. We obtain at this steps an 'ECU easier to tune'. For instance, RENAULT uses an intake air model to control throttle and EGR valve. Integration of particulate model to control DPF purge and catalysts temperature model to protect overheating are the new short-term progress. The efforts are now focused on these physical models. In conclusion, REMAULT combines the three axes (standardization, DOE and model-based algorithms) to optimize the calibration process, but increases significantly the effort for model-based algorithms.


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    Title :

    Virtual calibration in engine tuning process


    Additional title:

    Virtuelles Kalibrieren bei Leistungssteigerung von Motoren


    Contributors:


    Publication date :

    2005


    Size :

    11 Seiten, 9 Bilder


    Remarks:

    (nicht paginiert)


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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