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Optimization of Heavy-Duty Diesel Engine Operating Parameters Using Micro-Genetic Algorithms  

Kim, Man-Shik (Engine Research Center, University of Wisconsin-Madison)
Liechty, Mike P. (Engine Research Center, University of Wisconsin-Madison)
Reitz, Rolf D. (Engine Research Center, University of Wisconsin-Madison)
Publication Information
Transactions of the Korean Society of Automotive Engineers / v.13, no.2, 2005 , pp. 101-107 More about this Journal
Abstract
In this paper, optimized operating parameters were found using multi-dimensional engine simulation software (KIVA-3V) and micro-genetic algorithm for heavy duty diesel engine. The engine operating condition considered was at 1,737 rev/min and 57 % load. Engine simulation model was validated using an engine equipped with a high pressure electronic unit injector (HEUI) system. Three important parameters were used for the optimization - boost pressure, EGR rate and start of injection timing. Numerical optimization identified HCCI-like combustion characteristics showing significant improvements for the soot and $NO_X$ emissions. The optimized soot and $NO_X$ emissions were reduced to 0.005 g/kW-hr and 1.33 g/kW-hr, respectively. Moreover, the optimum results met EPA 2007 mandates at the operating point considered.
Keywords
Optimization; Micro genetic algorithm; KIVA-3V code; Diesel engine;
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