Predictive Phenomenological C.I. Combustion Modeling Optimization on the Basis of Bio-Inspired Algorithms 2005-01-1119
A new approach within the well-known trade-off in combustion process simulations between computational efforts (and thus the capability for engine operating map calculations) on the one hand, and accuracy of predictions on the other, has been developed and applied successfully to diesel combustion, in particular to energy release and pollutant formation.
Using phenomenological models in combination with bio-inspired algorithms (for parameter identification), it is now possible to predict thermal, chemical and injection related engine characteristics over an entire operating map including different types of fuel (e.g. diesel, water-in-diesel emulsions and oxygenated diesel).
Citation: Warth, M., Obrecht, P., Bertola, A., and Boulouchos, K., "Predictive Phenomenological C.I. Combustion Modeling Optimization on the Basis of Bio-Inspired Algorithms," SAE Technical Paper 2005-01-1119, 2005, https://doi.org/10.4271/2005-01-1119. Download Citation
Marco Warth, Peter Obrecht, Andrea Bertola, Konstantinos Boulouchos
Swiss Federal Institute of Technology Zurich
SAE 2005 World Congress & Exhibition
Modeling of SI and Diesel Engines 2005-SP-1969, SAE 2005 Transactions Journal of Engines-V114-3