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

유전알고리즘을 이용한 대형 디젤 엔진 운전 조건 최적화

  • 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)
  • Published : 2005.03.01

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

References

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