Modelling engine operating space for DoE calibration methods

Abstract : The tightening of standards on pollutant emissions have led car manufacturers to develop more complex strategies of engine control, with an increasing number of parameters to be tuned. New calibration methods based on statistical modelling and DOE have become necessary to cope with this complexity. Determining the engine operating space is a major issue for such methods, in order to achieve the design of experiments and to know in advance if optimized tuning built from engine responses modelling could really be played on the engine. This paper presents a pragmatic approach for modelling this operating space, while addressing the experimental procedure and the mathematical design. Results obtained from a common rail diesel engine illustrate methods for local approach (with operating points defined by speed and load) or global approach (including speed and load as parameters). Examples of DoE into this design space are also presented.
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Fabien Chaudoye, Michel Castagne, Delphine Sinoquet, Francois Wahl. Modelling engine operating space for DoE calibration methods. Conference design of experiments (DoE) in engine development, Jun 2009, Berlin, Germany. ⟨hal-02284320⟩

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