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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 103
PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON SOFT COMPUTING TECHNOLOGY IN CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING
Edited by: Y. Tsompanakis
Paper 28

Applying Genetic Algorithms to Decision Making of Injection Strategies in a GDI Engine

M. Costa, U. Sorge, A. Montanaro and L. Allocca

Istituto Motori, CNR, Naples, Italy

Full Bibliographic Reference for this paper
M. Costa, U. Sorge, A. Montanaro, L. Allocca, "Applying Genetic Algorithms to Decision Making of Injection Strategies in a GDI Engine", in Y. Tsompanakis, (Editor), "Proceedings of the Third International Conference on Soft Computing Technology in Civil, Structural and Environmental Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 28, 2013. doi:10.4203/ccp.103.28
Keywords: GDI spark ignition engines, multidimensional modeling, optimization.

Summary
The effects of single or double injection strategies on the performance of a 4-cylinder, 4-valve, 4-stroke GDI engine are numerically analyzed. A properly developed 3D engine model is employed. The runs of the 3D model are driven by the MOGA-II algorithm to search for the injection strategy and spark advance that are shown optimal for the combustion development. After the optimal injection pressure for a single injection event is identified, the gasoline supply is considered as subdivided into two successive parts, each delivering the same mass of gasoline. The optimization algorithm is used to explore the actual advantages of modulating the mixture formation for low consumption and reduced environmental impact. The performed computations also allow highlighting interesting aspects, as the adverse phasing of the engine occurring under certain circumstances.

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