One of the central tasks of engineering sciences is the most possibly exact descrip-

tion of technical processes with the goal of understanding the dynamic behavior

of complex systems, of recognizing regularities, and thereby of making possible

reliable statements about the future behavior of these systems. With regard to

combustion engines as the power source for propulsion systems for land, water,

and air vehicles, for permanent and emergency generating sets, as well as for air

conditioning and refrigeration, the analysis of the entire process thus acquires

particular importance.

In the case of model-based parameter-optimization, engine behavior is described

with a mathematical model. The optimization does not occur in the real engine, but

rather in a model, which attempts to take into account all effects relevant for the

concrete task of optimization. The advantages of this plan are a drastic reduction of

the experimental cost and thus a clear saving of time in developmental tasks; see

Kuder and Kruse (2000).

The prerequisite for simulation are mechanical, thermodynamic, and chemical

models for the description of technical processes, whereby the understanding of

thermodynamics and of chemical reaction kinetics are an essential requirement for

the modeling of Internal Combustion Engine processes.