IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i8p2099-d533204.html
   My bibliography  Save this article

Investigation into the Relationship between Super-Knock and Misfires in an SI GDI Engine

Author

Listed:
  • Jian Gao

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

  • Anren Yao

    (School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China)

  • Yeyi Zhang

    (Technical Center in Dongfeng Motor Co., Ltd., Wuhan 430056, China)

  • Guofan Qu

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

  • Chunde Yao

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

  • Shemin Zhang

    (Technical Center in Dongfeng Motor Co., Ltd., Wuhan 430056, China)

  • Dongsheng Li

    (Technical Center in Dongfeng Motor Co., Ltd., Wuhan 430056, China)

Abstract

The super-knock poses new challenges for further increasing the power density of spark ignition (SI) engines. The critical factors and mechanism connecting regarding the occurrence of super-knock are still unclear. Misfire is a common phenomenon in SI engines that the mixture in cylinder is not ignited normally, which is often caused by spark plug failure. However, the effect of misfire on engine combustion has not been paid enough attention to, particularly regarding connection to super-knock. The paper presents the results of experimental investigation into the relationship between super-knock and misfires at low speed and full load conditions. In this work, a boosted gasoline direct injection (GDI) engine with an exhaust manifold integrated in the cylinder head was employed. Four piezoelectric pressure transducers were used to acquire the data of a pressure trace in cylinder. The spark plugs of four cylinders were controlled manually, of which the ignition system could be cut off as demanded. In particular, a piezoelectric pressure transducer was installed at the exhaust pipe before the turbocharger to capture the pressure traces in the exhaust pipe. The results illustrated that misfires in one cylinder would cause super-knock in the other cylinders as well as the cylinder of itself. After one cylinder misfired, the unburned mixture would burn in the exhaust pipe to produce oscillating waves. The abnormal pressure fluctuation in the exhaust pipe was strongly correlated with the occurrence of super-knock. The sharper the pressure fluctuation, the greater the intensity of knock in the power cylinder. The cylinder whose exhaust valve overlapped with the exhaust valve of the misfired cylinder was prone to super-knock.

Suggested Citation

  • Jian Gao & Anren Yao & Yeyi Zhang & Guofan Qu & Chunde Yao & Shemin Zhang & Dongsheng Li, 2021. "Investigation into the Relationship between Super-Knock and Misfires in an SI GDI Engine," Energies, MDPI, vol. 14(8), pages 1-18, April.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:8:p:2099-:d:533204
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/8/2099/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/14/8/2099/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lijia Zhong & Changwen Liu, 2019. "Numerical Analysis of End-Gas Autoignition and Pressure Oscillation in a Downsized SI Engine Using Large Eddy Simulation," Energies, MDPI, vol. 12(20), pages 1-20, October.
    2. Achilles Kefalas & Andreas B. Ofner & Gerhard Pirker & Stefan Posch & Bernhard C. Geiger & Andreas Wimmer, 2021. "Detection of Knocking Combustion Using the Continuous Wavelet Transformation and a Convolutional Neural Network," Energies, MDPI, vol. 14(2), pages 1-19, January.
    3. José Rodríguez-Fernández & Ángel Ramos & Javier Barba & Dolores Cárdenas & Jesús Delgado, 2020. "Improving Fuel Economy and Engine Performance through Gasoline Fuel Octane Rating," Energies, MDPI, vol. 13(13), pages 1-14, July.
    4. Aqian Li & Zhaolei Zheng, 2020. "Effect of Spark Ignition Timing and Water Injection Temperature on the Knock Combustion of a GDI Engine," Energies, MDPI, vol. 13(18), pages 1-24, September.
    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. Hosseini, M. & Chitsaz, I., 2023. "Knock probability determination employing convolutional neural network and IGTD algorithm," Energy, Elsevier, vol. 284(C).
    2. Stefan Posch & Clemens Gößnitzer & Andreas B. Ofner & Gerhard Pirker & Andreas Wimmer, 2022. "Modeling Cycle-to-Cycle Variations of a Spark-Ignited Gas Engine Using Artificial Flow Fields Generated by a Variational Autoencoder," Energies, MDPI, vol. 15(7), pages 1-16, March.
    3. Haruki Tajima & Takuya Tomidokoro & Takeshi Yokomori, 2022. "Deep Learning for Knock Occurrence Prediction in SI Engines," Energies, MDPI, vol. 15(24), pages 1-14, December.
    4. Lei Zhou & Xiaojun Zhang & Lijia Zhong & Jie Yu, 2020. "Effects of Flame Propagation Velocity and Turbulence Intensity on End-Gas Auto-Ignition in a Spark Ignition Gasoline Engine," Energies, MDPI, vol. 13(19), pages 1-23, September.
    5. Zou, Run & Li, Yuan & Liu, Jinxiang & Wang, Nana & Zeng, Qinghan & Li, Jiong, 2023. "Numerical study on the effects of spark strategies on knocking combustion in a downsized gasoline rotary engine," Energy, Elsevier, vol. 263(PD).
    6. Agnieszka Wawrzak & Artur Tyliszczak, 2021. "Numerical Study of Hydrogen Auto-Ignition Process in an Isotropic and Anisotropic Turbulent Field," Energies, MDPI, vol. 14(7), pages 1-17, March.
    7. Sok, Ratnak & Jeyamoorthy, Arravind & Kusaka, Jin, 2024. "Novel virtual sensors development based on machine learning combined with convolutional neural-network image processing-translation for feedback control systems of internal combustion engines," Applied Energy, Elsevier, vol. 365(C).
    8. Karol Tucki, 2021. "A Computer Tool for Modelling CO 2 Emissions in Driving Cycles for Spark Ignition Engines Powered by Biofuels," Energies, MDPI, vol. 14(5), pages 1-33, March.

    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:8:p:2099-:d:533204. 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.