Physical Modeling of Turbocharged Engines and Parameter Identification
Physical Modeling of Turbocharged Engines and Parameter Identification
Lars Eriksson, Johan Wahlström and Markus Klein
Vehicular Systems
Dept. of Electrical Engineering
Linköping University
SE-581 83 Linköping
E-mail: larer@isy.liu.se, johwa@isy.liu.se
The common theme in this chapter is physical modeling of engines and the
subjects touch three topics in nonlinear engine models and parameter
identification. First, a modeling methodology is described. It focuses on
the gas and energy flows in engines and covers turbocharged
engines. Examples are given where the methodology has been successfully
applied, covering naturally aspirated engines and both single and dual stage
turbocharged engines. Second, the modeling with the emphasis on models for
EGR/VGT equipped diesel engine. The aim is to describe models that capture
the essential dynamics and nonlinear behaviors and that are relatively small
so that they can be utilized in model predictive control algorithms.
Special emphasis is on the selection of the states. The third and last topic
is related to parameter identification in gray-box models. A common issue
is that parameters with physical interpretation often receive values that
lie outside their admissible range during the identification. Regularization
is discussed as a solution and methods for choosing the regularization
parameter are described and highlighted.
Lars Eriksson, Johan Wahlström and Markus Klein
Springer Verlag,
Automotive Model Predictive Control: Models, Methods and Applications, In Lecture Notes in Control and Information Sciences,
Editors: L. del Re, F. Allgöwer, L. Glielmo, C. Guardiola, and I. Kolmanovsky,
2009
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