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Identification of the Relevant Parameters of the Wall-Wetting System by Extended Kalman Filtering
Published April 19, 2004 by University of Salerno in Italy
The knowledge of the wall-wetting system in an SI engine is important for a correct dosation of the fuel to be injected. The existing models are divided into two categories. The control-based models have parameters which are not constant over the whole operating range but are simple to parameterize. The models based on physics have a good precision, but they are not suitable for control. To combine the positive aspects of both model types, a physical model of the wall- wetting system was developed, whose parameters can be adjusted on-line with the aid of extended Kalman filtering. This paper shows a way to implement a Kalman filter combined with an off-line identification to estimate the wall-wetting parameters and states on the basis of this model.