IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v13y2020i22p6046-d447528.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/13/22/6046/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/13/22/6046/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Yu & Li, Hailin & Guo, Hongsheng & Wang, Hu & Yao, Mingfa, 2018. "A numerical study on the chemical kinetics process during auto-ignition of n-heptane in a direct injection compression ignition engine," Applied Energy, Elsevier, vol. 212(C), pages 909-918.
    2. Md Modassir Khan & Arun Kumar Kadian & Rabindra Prasad Sharma & S M Mozammil Hasnain & Ahmed Mohamed & Adham E. Ragab & Ali Zare & Shatrudhan Pandey, 2023. "Emission Reduction and Performance Enhancement of CI Engine Propelled by Neem Biodiesel-Neem Oil-Decanol-Diesel Blends at High Injection Pressure," Sustainability, MDPI, vol. 15(11), pages 1-18, June.
    3. E, Jiaqiang & Pham, MinhHieu & Deng, Yuanwang & Nguyen, Tuannghia & Duy, VinhNguyen & Le, DucHieu & Zuo, Wei & Peng, Qingguo & Zhang, Zhiqing, 2018. "Effects of injection timing and injection pressure on performance and exhaust emissions of a common rail diesel engine fueled by various concentrations of fish-oil biodiesel blends," Energy, Elsevier, vol. 149(C), pages 979-989.
    4. Di Battista, D. & Cipollone, R., 2016. "Experimental and numerical assessment of methods to reduce warm up time of engine lubricant oil," Applied Energy, Elsevier, vol. 162(C), pages 570-580.
    5. Chiong, Meng-Choung & Kang, Hooi-Siang & Shaharuddin, Nik Mohd Ridzuan & Mat, Shabudin & Quen, Lee Kee & Ten, Ki-Hong & Ong, Muk Chen, 2021. "Challenges and opportunities of marine propulsion with alternative fuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    6. Chakrapani Nagappan Kowthaman & S. M. Ashrafur Rahman & I. M. R. Fattah, 2023. "Exploring the Potential of Lignocellulosic Biomass-Derived Polyoxymethylene Dimethyl Ether as a Sustainable Fuel for Internal Combustion Engines," Energies, MDPI, vol. 16(12), pages 1-18, June.
    7. Mazen A. Eldeeb & Benjamin Akih-Kumgeh, 2018. "Recent Trends in the Production, Combustion and Modeling of Furan-Based Fuels," Energies, MDPI, vol. 11(3), pages 1-47, February.
    8. Chao Jin & Xiaodan Li & Teng Xu & Juntong Dong & Zhenlong Geng & Jia Liu & Chenyun Ding & Jingjing Hu & Ahmed El ALAOUI & Qing Zhao & Haifeng Liu, 2023. "Zero-Carbon and Carbon-Neutral Fuels: A Review of Combustion Products and Cytotoxicity," Energies, MDPI, vol. 16(18), pages 1-29, September.
    9. Stefano d’Ambrosio & Alessandro Ferrari & Alessandro Mancarella & Salvatore Mancò & Antonio Mittica, 2019. "Comparison of the Emissions, Noise, and Fuel Consumption Comparison of Direct and Indirect Piezoelectric and Solenoid Injectors in a Low-Compression-Ratio Diesel Engine," Energies, MDPI, vol. 12(21), pages 1-16, October.
    10. Katriina Sirviö & Seppo Niemi & Sonja Heikkilä & Jukka Kiijärvi & Michaela Hissa & Erkki Hiltunen, 2019. "Feasibility of New Liquid Fuel Blends for Medium-Speed Engines," Energies, MDPI, vol. 12(14), pages 1-10, July.
    11. Hoseini, S.S. & Najafi, G. & Ghobadian, B. & Mamat, R. & Ebadi, M.T. & Yusaf, Talal, 2018. "Novel environmentally friendly fuel: The effects of nanographene oxide additives on the performance and emission characteristics of diesel engines fuelled with Ailanthus altissima biodiesel," Renewable Energy, Elsevier, vol. 125(C), pages 283-294.
    12. Kumar, Madan & Tsujimura, Taku & Suzuki, Yasumasa, 2018. "NOx model development and validation with diesel and hydrogen/diesel dual-fuel system on diesel engine," Energy, Elsevier, vol. 145(C), pages 496-506.
    13. Kim, Hyun Hee & Park, Yoon Hwa & Han, Karam & Jang, Ji Hoon & Park, Ho Young & Seo, Youn Seog, 2021. "Combustion and emission characteristics of a reprocessed used lubricating oil as a renewable fuel for boiler cold start-up operation," Energy, Elsevier, vol. 222(C).
    14. Abukhadra, Mostafa R. & Salam, Mohamed Abdel & Ibrahim, Sherouk M., 2019. "Insight into the catalytic conversion of palm oil into biodiesel using Na+/K+ trapped muscovite/phillipsite composite as a novel catalyst: Effect of ultrasonic irradiation and mechanism," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    15. Huang, Haozhong & Zhu, Zhaojun & Zhu, Jizhen & Lv, Delin & Pan, Yuping & Wei, Hongling & Teng, Wenwen, 2019. "Experimental and numerical study of pre-injection effects on diesel-n-butanol blends combustion," Applied Energy, Elsevier, vol. 249(C), pages 377-391.
    16. Mohsin Raza & Longfei Chen & Felix Leach & Shiting Ding, 2018. "A Review of Particulate Number (PN) Emissions from Gasoline Direct Injection (GDI) Engines and Their Control Techniques," Energies, MDPI, vol. 11(6), pages 1-26, June.
    17. Ge, Jun Cong & Wu, Guirong & Yoo, Byeong-O & Choi, Nag Jung, 2022. "Effect of injection timing on combustion, emission and particle morphology of an old diesel engine fueled with ternary blends at low idling operations," Energy, Elsevier, vol. 253(C).
    18. Öztürk, Uğur & Hazar, Hanbey & Yılmaz, Fikret, 2019. "Comparative performance and emission characteristics of peanut seed oil methyl ester (PSME) on a thermal isolated diesel engine," Energy, Elsevier, vol. 167(C), pages 260-268.
    19. Doppalapudi, A.T. & Azad, A.K. & Khan, M.M.K., 2023. "Advanced strategies to reduce harmful nitrogen-oxide emissions from biodiesel fueled engine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 174(C).
    20. Jingjing He & Hao Chen & Xin Su & Bin Xie & Quanwei Li, 2021. "Combustion Study of Polyoxymethylene Dimethyl Ethers and Diesel Blend Fuels on an Optical Engine," Energies, MDPI, vol. 14(15), pages 1-19, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:13:y:2020:i:22:p:6046-:d:447528. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.