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C. Hametner, M. Nebel:
"Operating Regime Based Dynamic Engine Modelling";
Control Engineering Practice, 20 (2012), 4; 397 - 407.

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.

Engine modelling; System identification; Internal combustion engines; Dynamic modelling; Neural-network models; Optimal experiment design

http://dx.doi.org/10.1016/j.conengprac.2011.10.003