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Model Based Control Method for Diesel Engine Combustion

Author

Listed:
  • Hu Wang

    (State Key Laboratory of Engines, Tianjin University, Tianjin 300072, China)

  • Xin Zhong

    (State Key Laboratory of Engines, Tianjin University, Tianjin 300072, China)

  • Tianyu Ma

    (State Key Laboratory of Engines, Tianjin University, Tianjin 300072, China)

  • Zunqing Zheng

    (State Key Laboratory of Engines, Tianjin University, Tianjin 300072, China)

  • Mingfa Yao

    (State Key Laboratory of Engines, Tianjin University, Tianjin 300072, China)

Abstract

With the increase of information processing speed, more and more engine optimization work can be processed automatically. The quick-response closed-loop control method is becoming an urgent demand for the combustion control of modern internal combustion engines. In this paper, artificial neural network (ANN) and polynomial functions are used to predict the emission and engine performance based on seven parameters extracted from the in-cylinder pressure trace information of over 3000 cases. Based on the prediction model, the optimal combustion parameters are found with two different intelligent algorithms, including genetical algorithm and fish swarm algorithm. The results show that combination of quadratic function with genetical algorithm is able to obtain the appropriate combustion control parameters. Both engine emissions and thermal efficiency can be virtually predicted in a much faster way, such that enables a promising way to achieve fast and reliable closed-loop combustion control.

Suggested Citation

  • Hu Wang & Xin Zhong & Tianyu Ma & Zunqing Zheng & Mingfa Yao, 2020. "Model Based Control Method for Diesel Engine Combustion," Energies, MDPI, vol. 13(22), pages 1-13, November.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:22:p:6046-:d:447528
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    References listed on IDEAS

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    1. d’Ambrosio, Stefano & Finesso, Roberto & Fu, Lezhong & Mittica, Antonio & Spessa, Ezio, 2014. "A control-oriented real-time semi-empirical model for the prediction of NOx emissions in diesel engines," Applied Energy, Elsevier, vol. 130(C), pages 265-279.
    2. Li, Bowen & Li, Yanfei & Liu, Haoye & Liu, Fang & Wang, Zhi & Wang, Jianxin, 2017. "Combustion and emission characteristics of diesel engine fueled with biodiesel/PODE blends," Applied Energy, Elsevier, vol. 206(C), pages 425-431.
    3. Fang, Cheng & Ouyang, Minggao & Tunestal, Per & Yang, Fuyuan & Yang, Xiaofan, 2018. "Closed-loop combustion phase control for multiple combustion modes by multiple injections in a compression ignition engine fueled by gasoline-diesel mixture," Applied Energy, Elsevier, vol. 231(C), pages 816-825.
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    Cited by:

    1. Roberto Finesso & Omar Marello, 2022. "Calculation of Intake Oxygen Concentration through Intake CO 2 Measurement and Evaluation of Its Effect on Nitrogen Oxide Prediction Accuracy in a Heavy-Duty Diesel Engine," Energies, MDPI, vol. 15(1), pages 1-26, January.

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