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

^*此作品的通讯作者

机械与车辆学院

Beijing Institute of Technology

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 NO_x 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
卷	27
期	6
出版状态	已出版 - 6月 2007

其它文件与链接

链接到 Scopus 的出版物

引用此

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title = "Study on emission optimization applying genetic algorithms in diesel engines",

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.",

keywords = "Diesel, Emission, Genetic algorithms (GA), Optimization",

author = "Bai, \{Xiang Dong\} and Liu, \{Fu Shui\} and Li, \{Xiang Rong\} and Sun, \{Bai Gang\}",

year = "2007",

month = jun,

language = "English",

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T1 - Study on emission optimization applying genetic algorithms in diesel engines

AU - Bai, Xiang Dong

AU - Liu, Fu Shui

AU - Li, Xiang Rong

AU - Sun, Bai Gang

PY - 2007/6

Y1 - 2007/6

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

UR - https://www.scopus.com/pages/publications/34447302290

M3 - Article

AN - SCOPUS:34447302290

SN - 1001-0645

VL - 27

SP - 491

EP - 495

JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

IS - 6

ER -

Study on emission optimization applying genetic algorithms in diesel engines

摘要

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