IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i2p907-d1034478.html
   My bibliography  Save this article

Development of a Model-Based Coordinated Air-Fuel Controller for a 3.0 dm 3 Diesel Engine and Its Assessment through Model-in-the-Loop

Author

Listed:
  • Loris Ventura

    (Energy Department, Politecnico di Torino, 10129 Torino, Italy)

  • Roberto Finesso

    (Energy Department, Politecnico di Torino, 10129 Torino, Italy)

  • Stefano A. Malan

    (Department of Electronics and Telecommunications, Politecnico di Torino, 10129 Torino, Italy)

Abstract

The tightening of diesel pollutant emission regulations has made Internal Combustion Engine (ICE) management through steady-state maps obsolete. To overcome the map’s scarce performance and efficiently manage the engine, control systems must cope with ICE transient operations, the coupling between its subsystem dynamics, and the tradeoff between different requirements. The work demonstrates the effectiveness of a reference generator that coordinates the air path and combustion control systems of a turbocharged heavy-duty diesel engine. The control system coordinator is based on neural networks and allows for following different engine-out Nitrogen Oxide (NOx) targets while satisfying the load request. The air path control system provides the global conditions for the correct functioning of the engine, targeting O 2 concentration and pressure in the intake manifold. Through cooperation, the combustion control targets Brake Mean Effective Pressure (BMEP) and NOx to react to rapid changes in the engine operating state and compensates for the remaining deviations with respect to load and NOx targets. The reference generator and the two controller algorithms are suitable for real-time implementation on rapid-prototyping hardware. The performance overall was good, allowing the engine to follow different NOx targets with 150 ppm of deviation and to achieve an average BMEP error of 0.3 bar.

Suggested Citation

  • Loris Ventura & Roberto Finesso & Stefano A. Malan, 2023. "Development of a Model-Based Coordinated Air-Fuel Controller for a 3.0 dm 3 Diesel Engine and Its Assessment through Model-in-the-Loop," Energies, MDPI, vol. 16(2), pages 1-23, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:2:p:907-:d:1034478
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/2/907/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/2/907/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Armin Norouzi & Hamed Heidarifar & Mahdi Shahbakhti & Charles Robert Koch & Hoseinali Borhan, 2021. "Model Predictive Control of Internal Combustion Engines: A Review and Future Directions," Energies, MDPI, vol. 14(19), pages 1-40, October.
    2. Stefano d’Ambrosio & Alessandro Mancarella & Andrea Manelli, 2022. "Utilization of Hydrotreated Vegetable Oil (HVO) in a Euro 6 Dual-Loop EGR Diesel Engine: Behavior as a Drop-In Fuel and Potentialities along Calibration Parameter Sweeps," Energies, MDPI, vol. 15(19), pages 1-17, September.
    3. Fabio Cococcetta & Roberto Finesso & Gilles Hardy & Omar Marello & Ezio Spessa, 2019. "Implementation and Assessment of a Model-Based Controller of Torque and Nitrogen Oxide Emissions in an 11 L Heavy-Duty Diesel Engine," Energies, MDPI, vol. 12(24), pages 1-19, December.
    4. Kalghatgi, Gautam, 2018. "Is it really the end of internal combustion engines and petroleum in transport?," Applied Energy, Elsevier, vol. 225(C), pages 965-974.
    Full references (including those not matched with items on IDEAS)

    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. Alessandro Mancarella & Omar Marello, 2022. "Effect of Coolant Temperature on Performance and Emissions of a Compression Ignition Engine Running on Conventional Diesel and Hydrotreated Vegetable Oil (HVO)," Energies, MDPI, vol. 16(1), pages 1-27, December.
    2. Zongyu Yue & Haifeng Liu, 2023. "Advanced Research on Internal Combustion Engines and Engine Fuels," Energies, MDPI, vol. 16(16), pages 1-8, August.
    3. Kale, Aneesh Vijay & Krishnasamy, Anand, 2023. "Experimental study of homogeneous charge compression ignition combustion in a light-duty diesel engine fueled with isopropanol–gasoline blends," Energy, Elsevier, vol. 264(C).
    4. Luiz Almeida & Ana Soares & Pedro Moura, 2023. "A Systematic Review of Optimization Approaches for the Integration of Electric Vehicles in Public Buildings," Energies, MDPI, vol. 16(13), pages 1-26, June.
    5. Diego Perrone & Teresa Castiglione & Pietropaolo Morrone & Ferdinando Pantano & Sergio Bova, 2023. "Energetic, Economic and Environmental Performance Analysis of a Micro-Combined Cooling, Heating and Power (CCHP) System Based on Biomass Gasification," Energies, MDPI, vol. 16(19), pages 1-22, September.
    6. Qian, Yong & Wu, Zhiyong & Guo, Jinjing & Li, Zilong & Jiang, Chenxu & Lu, Xingcai, 2019. "Experimental studies on the key parameters controlling the combustion and emission in premixed charge compression ignition concept based on diesel surrogates," Applied Energy, Elsevier, vol. 235(C), pages 233-246.
    7. Zhang, Guanglu & Lin, Boqiang, 2018. "Impact of structure on unified efficiency for Chinese service sector—A two-stage analysis," Applied Energy, Elsevier, vol. 231(C), pages 876-886.
    8. Saeid Shahpouri & Armin Norouzi & Christopher Hayduk & Reza Rezaei & Mahdi Shahbakhti & Charles Robert Koch, 2021. "Hybrid Machine Learning Approaches and a Systematic Model Selection Process for Predicting Soot Emissions in Compression Ignition Engines," Energies, MDPI, vol. 14(23), pages 1-25, November.
    9. Ziyad, Ben Ahmed & Yousfi, Mohamed & Vander Heyden, Yvan, 2022. "Effects of growing region and maturity stages on oil yield, fatty acid profile and tocopherols of Pistacia atlantica Desf. fruit and their implications on resulting biodiesel," Renewable Energy, Elsevier, vol. 181(C), pages 167-181.
    10. Ma, Zetai & Xie, Wenping & Xiang, Hanchun & Zhang, Kun & Yang, Mingyang & Deng, Kangyao, 2023. "Thermodynamic analysis of power recovery of marine diesel engine under high exhaust backpressure by additional electrically driven compressor," Energy, Elsevier, vol. 266(C).
    11. Li, Danyang & Chen, Wenying, 2019. "TIMES modeling of the large-scale popularization of electric vehicles under the worldwide prohibition of liquid vehicle sales," Applied Energy, Elsevier, vol. 254(C).
    12. Mendiburu, Andrés Z. & Lauermann, Carlos H. & Hayashi, Thamy C. & Mariños, Diego J. & Rodrigues da Costa, Roberto Berlini & Coronado, Christian J.R. & Roberts, Justo J. & de Carvalho, João A., 2022. "Ethanol as a renewable biofuel: Combustion characteristics and application in engines," Energy, Elsevier, vol. 257(C).
    13. Betgeri, Vikram & Bhardwaj, Om Parkash & Pischinger, Stefan, 2023. "Investigation of the drop-in capabilities of a renewable 1-Octanol based E-fuel for heavy-duty engine applications," Energy, Elsevier, vol. 282(C).
    14. Norbert Zsiga & Johannes Ritzmann & Patrik Soltic, 2021. "Practical Aspects of Cylinder Deactivation and Reactivation," Energies, MDPI, vol. 14(9), pages 1-20, April.
    15. 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.
    16. Yin, Lianhao & Lundgren, Marcus & Wang, Zhenkan & Stamatoglou, Panagiota & Richter, Mattias & Andersson, Öivind & Tunestål, Per, 2019. "High efficient internal combustion engine using partially premixed combustion with multiple injections," Applied Energy, Elsevier, vol. 233, pages 516-523.
    17. Natalia Duarte Forero & Donovan Arango Barrios & Jorge Duarte Forero, 2019. "Overview of Potential Use of Hydroxyl and Hydrogen as an Alternative Fuel in Colombia," International Journal of Energy Economics and Policy, Econjournals, vol. 9(6), pages 525-534.
    18. Huang, Yuhan & Surawski, Nic C. & Zhuang, Yuan & Zhou, John L. & Hong, Guang, 2021. "Dual injection: An effective and efficient technology to use renewable fuels in spark ignition engines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    19. Stefania Lucantonio & Andrea Di Giuliano & Leucio Rossi & Katia Gallucci, 2023. "Green Diesel Production via Deoxygenation Process: A Review," Energies, MDPI, vol. 16(2), pages 1-44, January.
    20. Huang, Shuai & Li, Tie & Zhang, Zhifei & Ma, Pengfei, 2019. "Rotational and vibrational temperatures in the spark plasma by various discharge energies and strategies," Applied Energy, Elsevier, vol. 251(C), pages 1-1.

    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:16:y:2023:i:2:p:907-:d:1034478. 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.