Engine Control Without Internal Combustion Engine Map: Nonstationary Stochastic State Model for Prediction of Cylinder Air Mass

J. Fantini; L. Peron; C. Perrier

doi:10.4271/2002-01-0203

2002-03-04

Engine Control Without Internal Combustion Engine Map: Nonstationary Stochastic State Model for Prediction of Cylinder Air Mass 2002-01-0203

Controlling optimum combustion requires the prediction of cylinder air mass (m_air non measurable variable), and the calculation of the injected fuel mass. The elaboration of an accurate predictor requires the determination of an exact and robust « intake manifold » model.

From a behavioural model tending toward the real « intake manifold » behaviour, this study describes the determination of two exact and robust stochastic state models, one using 1 sensor (intake manifold pressure), the other 2 sensors (intake manifold pressure and air flow indicator).

The non linearity of the process is treated, and all the internal combustion engine map coefficients η(N_e,X) are defined as a single constant scalar.

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Engine Control Without Internal Combustion Engine Map: Nonstationary Stochastic State Model for Prediction of Cylinder Air Mass 2002-01-0203

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