Diesel engine optimization control methods for reduction of exhaust emission and fuel consumption

Bambang Wahono, Harutoshi Ogai, Masatoshi Ogawa, Jin Kusaka, Yasumasa Suzuki

研究成果: Conference contribution

8 引用 (Scopus)

抜粋

The fuel efficiency and emission reductions are the two consistent drivers for diesel engine development. Although many control devices mounted in diesel engine and in addition to the development of individual emission control methods, optimization techniques are required to utilize these methods in finding optimal engine operating conditions efficiently. This research was focused on the minimization of nitrogen oxides (NOx) emission and soot emission, as well as improving brake specific fuel consumption (BSFC) and power in a single cylinder diesel engine, which can be modeled as a multi-objective optimization problem. Many approaches have been applied to multi-objective optimization problems. In recent years, particle swarm optimization (PSO) method has been successfully applied to different areas since its advent. It has been demonstrated that PSO is an effective method for optimization problem.

元の言語English
ホスト出版物のタイトル2012 IEEE/SICE International Symposium on System Integration, SII 2012
ページ722-727
ページ数6
DOI
出版物ステータスPublished - 2012 12 1
イベント2012 IEEE/SICE International Symposium on System Integration, SII 2012 - Fukuoka, Japan
継続期間: 2012 12 162012 12 18

出版物シリーズ

名前2012 IEEE/SICE International Symposium on System Integration, SII 2012

Conference

Conference2012 IEEE/SICE International Symposium on System Integration, SII 2012
Japan
Fukuoka
期間12/12/1612/12/18

ASJC Scopus subject areas

  • Information Systems

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  • これを引用

    Wahono, B., Ogai, H., Ogawa, M., Kusaka, J., & Suzuki, Y. (2012). Diesel engine optimization control methods for reduction of exhaust emission and fuel consumption. : 2012 IEEE/SICE International Symposium on System Integration, SII 2012 (pp. 722-727). [6427303] (2012 IEEE/SICE International Symposium on System Integration, SII 2012). https://doi.org/10.1109/SII.2012.6427303