IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i17p5367-d624198.html
   My bibliography  Save this article

Development and Experimental Validation of an Adaptive, Piston-Damage-Based Combustion Control System for SI Engines: Part 1—Evaluating Open-Loop Chain Performance

Author

Listed:
  • Alessandro Brusa

    (Department of Industrial Engineering, School of Engineering and Architecture, University of Bologna, 40126 Bologna, Italy)

  • Nicolò Cavina

    (Department of Industrial Engineering, School of Engineering and Architecture, University of Bologna, 40126 Bologna, Italy)

  • Nahuel Rojo

    (Department of Industrial Engineering, School of Engineering and Architecture, University of Bologna, 40126 Bologna, Italy)

  • Jacopo Mecagni

    (Department of Industrial Engineering, School of Engineering and Architecture, University of Bologna, 40126 Bologna, Italy)

  • Enrico Corti

    (Department of Industrial Engineering, School of Engineering and Architecture, University of Bologna, 40126 Bologna, Italy)

  • Vittorio Ravaglioli

    (Department of Industrial Engineering, School of Engineering and Architecture, University of Bologna, 40126 Bologna, Italy)

  • Matteo Cucchi

    (Ferrari S.p.A., 41053 Maranello, MO, Italy)

  • Nicola Silvestri

    (Ferrari S.p.A., 41053 Maranello, MO, Italy)

Abstract

This work is focused on the development and validation of a spark advance controller, based on a piston “damage” model and a predictive knock model. The algorithm represents an integrated and innovative way to manage both the knock intensity and combustion phase. It is characterized by a model-based open-loop algorithm with the capability of calculating with high accuracy the spark timing that achieves the desired piston damage in a certain period, for knock-limited engine operating conditions. Otherwise, it targets the maximum efficiency combustion phase. Such controller is primarily thought to be utilized under conditions in which feedback is not needed. In this paper, the main models and the structure of the open-loop controller are described and validated. The controller is implemented in a rapid control prototyping device and validated reproducing real driving maneuvers at the engine test bench. Results of the online validation process are presented at the end of the paper.

Suggested Citation

  • Alessandro Brusa & Nicolò Cavina & Nahuel Rojo & Jacopo Mecagni & Enrico Corti & Vittorio Ravaglioli & Matteo Cucchi & Nicola Silvestri, 2021. "Development and Experimental Validation of an Adaptive, Piston-Damage-Based Combustion Control System for SI Engines: Part 1—Evaluating Open-Loop Chain Performance," Energies, MDPI, vol. 14(17), pages 1-27, August.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:17:p:5367-:d:624198
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/17/5367/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/17/5367/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Luca Romani & Alessandro Bianchini & Giovanni Vichi & Alessandro Bellissima & Giovanni Ferrara, 2018. "Experimental Assessment of a Methodology for the Indirect in-Cylinder Pressure Evaluation in Four-Stroke Internal Combustion Engines," Energies, MDPI, vol. 11(8), pages 1-20, July.
    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. Karol Tucki & Olga Orynycz & Leszek Mieszkalski & Joao Gilberto Mendes dos Reis & Jonas Matijošius & Michał Wocial & Ivan Kuric & Simone Pascuzzi, 2023. "Analysis of the Influence of the Spark Plug on Exhaust Gas Composition," Energies, MDPI, vol. 16(11), pages 1-25, May.
    2. Alessandro Brusa & Emanuele Giovannardi & Massimo Barichello & Nicolò Cavina, 2022. "Comparative Evaluation of Data-Driven Approaches to Develop an Engine Surrogate Model for NOx Engine-Out Emissions under Steady-State and Transient Conditions," Energies, MDPI, vol. 15(21), pages 1-22, October.

    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. Frederico de Oliveira Assuncao & Luiz Eduardo Borges-da-Silva & Helcio Francisco Villa-Nova & Erik Leandro Bonaldi & Levy Ely Lacerda Oliveira & Germano Lambert-Torres & Carlos Eduardo Teixeira & Wils, 2021. "Reduced Scale Laboratory for Training and Research in Condition-Based Maintenance Strategies for Combustion Engine Power Plants and a Novel Method for Monitoring of Inlet and Exhaust Valves," Energies, MDPI, vol. 14(19), pages 1-23, October.
    2. Turki Alsuwian & Muhammad Tayyeb & Arslan Ahmed Amin & Muhammad Bilal Qadir & Saleh Almasabi & Mohammed Jalalah, 2022. "Design of a Hybrid Fault-Tolerant Control System for Air–Fuel Ratio Control of Internal Combustion Engines Using Genetic Algorithm and Higher-Order Sliding Mode Control," Energies, MDPI, vol. 15(15), pages 1-23, August.

    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:14:y:2021:i:17:p:5367-:d:624198. 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.