A Combustion Model for ICE by Means Neural Network

Several models for the evaluation of Gross Heat Release are often used in literature. One of these is the First Law – Single Zone Model (FL–SZM), derived from the First Law of Thermodynamics. This model presents a twice advantage: first it describes with accuracy the physic of the phenomenon (charge heat release during the combustion stroke and heat exchange between gas and cylinder wall); second it has a great simplicity in the mathematical formulation. The current paper deals with the implementation of a mathematical model, based on FL-SZM, to study the heat release due to the combustion phenomena in Internal Combustion Engines (ICEs). For purposes of chemical kinetic calculations, many of the major species have been included into the combustion products. In particular, seven gases (i.e. H2O, CO2, H2, O2, N2, CO and Ar) may also be assumed in chemical equilibrium. To reduce the computational time a Neural Network (NN) based model for combustion products composition and gases’ thermodynamic properties evaluation has been implemented and used. In order to test the effectiveness of the model an ICE – SI heat release analysis has been implemented and presented in the paper.