Operating regime based dynamic engine modelling

In this paper the nonlinear model identification of combustion engines using operating regime model structures is discussed. The split of the engine process into several local operating regimes, characterised by the dominant influence of load and speed, allows one to overcome the highly nonlinear dynamic complexity of the engine. Additionally, local limits in terms of engine protection and combustion stability can be considered much easier. Such a model, with physical a priori information embedded in the model structure, provides excellent generalisation capability and a real-time application of the model is easily possible.

► Nonlinear model identification of combustion engines using operating regime model structures.
► Split into local operating regimes represented by the dominant influence of load and speed.
► Physical a priori information allows to build a model with locally different complexity.
► Local limits in terms of engine protection and combustion stability can be considered much easier.
► Validation by means of real measurement data from a state-of-the-art 4-cylinder EURO5 diesel engine.