Study on emission optimization applying genetic algorithms in diesel engines

Xiang Dong Bai; Fu Shui Liu; Xiang Rong Li; Bai Gang Sun

Study on emission optimization applying genetic algorithms in diesel engines

Xiang Dong Bai^*, Fu Shui Liu, Xiang Rong Li, Bai Gang Sun

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

The paper deals with a problem of global emission optimization using genetic algorithms in diesel engine with electrical unit pump, based on the experimental conditions of nation III 13 stages cycle. The engine parameters controlled in the optimization was injection timing. The optimization goal is to minimize specific consumption (BSFC) with respect to the nation III emission standard. The optimum results showed significant improvements for the NO_x and particulate emissions (PM). Moreover, the final optimized results met the nation III emissions targets.

Original language	English
Pages (from-to)	491-495
Number of pages	5
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	27
Issue number	6
Publication status	Published - Jun 2007

Keywords

Diesel
Emission
Genetic algorithms (GA)
Optimization

Cite this

Bai, X. D., Liu, F. S., Li, X. R., & Sun, B. G. (2007). Study on emission optimization applying genetic algorithms in diesel engines. Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 27(6), 491-495.

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abstract = "The paper deals with a problem of global emission optimization using genetic algorithms in diesel engine with electrical unit pump, based on the experimental conditions of nation III 13 stages cycle. The engine parameters controlled in the optimization was injection timing. The optimization goal is to minimize specific consumption (BSFC) with respect to the nation III emission standard. The optimum results showed significant improvements for the NOx and particulate emissions (PM). Moreover, the final optimized results met the nation III emissions targets.",

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N2 - The paper deals with a problem of global emission optimization using genetic algorithms in diesel engine with electrical unit pump, based on the experimental conditions of nation III 13 stages cycle. The engine parameters controlled in the optimization was injection timing. The optimization goal is to minimize specific consumption (BSFC) with respect to the nation III emission standard. The optimum results showed significant improvements for the NOx and particulate emissions (PM). Moreover, the final optimized results met the nation III emissions targets.

AB - The paper deals with a problem of global emission optimization using genetic algorithms in diesel engine with electrical unit pump, based on the experimental conditions of nation III 13 stages cycle. The engine parameters controlled in the optimization was injection timing. The optimization goal is to minimize specific consumption (BSFC) with respect to the nation III emission standard. The optimum results showed significant improvements for the NOx and particulate emissions (PM). Moreover, the final optimized results met the nation III emissions targets.

KW - Diesel

KW - Emission

KW - Genetic algorithms (GA)

KW - Optimization

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Study on emission optimization applying genetic algorithms in diesel engines

Abstract

Keywords

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