Study on emission optimization applying genetic algorithms in diesel engines

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

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

2 引用 (Scopus)

摘要

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.

源语言英语
页(从-至)491-495
页数5
期刊Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
27
6
出版状态已出版 - 6月 2007

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引用此

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.