IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v298y2024ics0360544224011599.html
   My bibliography  Save this article

Real-time estimation of fuel injection rate and injection volume in high-pressure common rail systems

Author

Listed:
  • Liu, Bingxin
  • Fei, Hongzi
  • Wang, Liuping
  • Fan, Liyun
  • Yang, Xiaotao

Abstract

The injection rate and injection volume are essential parameters for the combustion process, which greatly affect the engine efficiency and emission performance. However, at the current time the injection information cannot be obtained in real time during the actual operation of engine. This paper presents a novel real-time estimation method for the injection rate and injection volume based on the measurable rail pressure. A comprehensive dynamic model is derived by considering both the effect of fuel injection and supply process on the pressure fluctuation. Then a linear time-varying state space model is constructed by choosing three appropriate state variables. On this basis, considering the measurement noise and model uncertainty, a Kalman filter-based estimation method of the injection information is investigated. And the noise covariance matrix Q is optimally designed to adapt to a wide range of operating conditions. The proposed estimation method is validated on the different conditions, and the results show the injection rate estimation errors are within 4.5 %, the injection volume estimation errors are within 4 %. And on the situation with overlap of injection and supply process, the injection rate and injection volume estimation errors are all within 4.5 %.

Suggested Citation

  • Liu, Bingxin & Fei, Hongzi & Wang, Liuping & Fan, Liyun & Yang, Xiaotao, 2024. "Real-time estimation of fuel injection rate and injection volume in high-pressure common rail systems," Energy, Elsevier, vol. 298(C).
    • Handle: RePEc:eee:energy:v:298:y:2024:i:c:s0360544224011599
    DOI: 10.1016/j.energy.2024.131386
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544224011599
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2024.131386?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Xu, Leilei & Bai, Xue-Song & Jia, Ming & Qian, Yong & Qiao, Xinqi & Lu, Xingcai, 2018. "Experimental and modeling study of liquid fuel injection and combustion in diesel engines with a common rail injection system," Applied Energy, Elsevier, vol. 230(C), pages 287-304.
    2. Imperato, Matteo & Kaario, Ossi & Sarjovaara, Teemu & Larmi, Martti, 2016. "Split fuel injection and Miller cycle in a large-bore engine," Applied Energy, Elsevier, vol. 162(C), pages 289-297.
    3. Banerjee, Abhisek & Paul, Diplina, 2021. "Developments and applications of porous medium combustion: A recent review," Energy, Elsevier, vol. 221(C).
    4. Kang, Lulu & Lou, Diming & Zhang, Yunhua & Fang, Liang & Luo, Chagen, 2023. "Research on cross sensitivity of NOx sensor and Adblue injection volume in accordance with the actual situation based on cubature Kalman filter," Energy, Elsevier, vol. 284(C).
    5. Yang, Xiyu & Dong, Quan & Wang, Xiaoyan & Zhou, Tanqing & Wei, Daijun, 2023. "An experimental study on the needle valve motion characteristics of high pressure natural gas and diesel co-direct injector," Energy, Elsevier, vol. 265(C).
    6. Soriano, J.A. & Mata, C. & Armas, O. & Ávila, C., 2018. "A zero-dimensional model to simulate injection rate from first generation common rail diesel injectors under thermodynamic diagnosis," Energy, Elsevier, vol. 158(C), pages 845-858.
    7. Hu, Jie & Zeng, Jiawei & Wei, Li, 2018. "Failure diagnosis and tolerant control method for hydrothermally aged SCR system by utilizing EKF observer and MRAC controller," Energy, Elsevier, vol. 156(C), pages 103-121.
    8. Takyi-Aninakwa, Paul & Wang, Shunli & Zhang, Hongying & Li, Huan & Xu, Wenhua & Fernandez, Carlos, 2022. "An optimized relevant long short-term memory-squared gain extended Kalman filter for the state of charge estimation of lithium-ion batteries," Energy, Elsevier, vol. 260(C).
    9. Ferrari, A. & Novara, C. & Paolucci, E. & Vento, O. & Violante, M. & Zhang, T., 2018. "Design and rapid prototyping of a closed-loop control strategy of the injected mass for the reduction of CO2, combustion noise and pollutant emissions in diesel engines," Applied Energy, Elsevier, vol. 232(C), pages 358-367.
    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. Gu, Yuanqi & Fan, Liyun & Lan, Qi & Wei, Yunpeng, 2023. "Experimental study on the transient supply consistency for a common rail pump based on impedance theory," Energy, Elsevier, vol. 283(C).
    2. Van Viet Pham & Duc Thiep Cao, 2019. "A Brief Review Of Technology Solutions On Fuel Injection System Of Diesel Engine To Increase The Power And Reduce Environmental Pollution," Journal of Mechanical Engineering Research & Developments (JMERD), Zibeline International Publishing, vol. 42(1), pages 1-9, January.
    3. Takyi-Aninakwa, Paul & Wang, Shunli & Zhang, Hongying & Yang, Xiao & Fernandez, Carlos, 2023. "A hybrid probabilistic correction model for the state of charge estimation of lithium-ion batteries considering dynamic currents and temperatures," Energy, Elsevier, vol. 273(C).
    4. Shi, Zhicheng & Lee, Chia-fon & Wu, Han & Wu, Yang & Zhang, Lu & Liu, Fushui, 2019. "Optical diagnostics of low-temperature ignition and combustion characteristics of diesel/kerosene blends under cold-start conditions," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    5. Leonid Plotnikov & Nikita Grigoriev, 2021. "Modernization of the Mechanical Fuel System of a Diesel Locomotive Engine through Physical and Numerical Modeling," Energies, MDPI, vol. 14(24), pages 1-15, December.
    6. Pourali, Mostafa & Esfahani, Javad Abolfazli, 2022. "Performance analysis of a micro-scale integrated hydrogen production system by analytical approach, machine learning, and response surface methodology," Energy, Elsevier, vol. 255(C).
    7. Pang, Kar Mun & Karvounis, Nikolas & Walther, Jens Honore & Schramm, Jesper, 2016. "Numerical investigation of soot formation and oxidation processes under large two-stroke marine diesel engine-like conditions using integrated CFD-chemical kinetics," Applied Energy, Elsevier, vol. 169(C), pages 874-887.
    8. Fan, Tian-E & Liu, Song-Ming & Yang, Hao & Li, Peng-Hua & Qu, Baihua, 2023. "A fast active balancing strategy based on model predictive control for lithium-ion battery packs," Energy, Elsevier, vol. 279(C).
    9. Sun, Xiuxiu & Liang, Xingyu & Shu, Gequn & lin, Jiansheng & Wei, Haiqiao & Zhou, Peilin, 2018. "Development of a surrogate fuel mechanism for application in two-stroke marine diesel engine," Energy, Elsevier, vol. 153(C), pages 56-64.
    10. Zhao, Wenbin & Mi, Shijie & Wu, Haoqing & Zhang, Yaoyuan & He, Zhuoyao & Qian, Yong & Lu, Xingcai, 2022. "Towards a comprehensive understanding of mode transition between biodiesel-biobutanol dual-fuel ICCI low temperature combustion and conventional CI combustion - Part ΙΙ: A system optimization at low l," Energy, Elsevier, vol. 241(C).
    11. Carmen Mata & Jakub Piaszyk & José Antonio Soriano & José Martín Herreros & Athanasios Tsolakis & Karl Dearn, 2020. "Impact of Alternative Paraffinic Fuels on the Durability of a Modern Common Rail Injection System," Energies, MDPI, vol. 13(16), pages 1-14, August.
    12. Kang, Lulu & Lou, Diming & Zhang, Yunhua & Fang, Liang & Luo, Chagen, 2023. "Research on cross sensitivity of NOx sensor and Adblue injection volume in accordance with the actual situation based on cubature Kalman filter," Energy, Elsevier, vol. 284(C).
    13. Kuang, Pan & Zhou, Fei & Xu, Shuai & Li, Kangqun & Xu, Xiaobin, 2024. "State-of-charge estimation hybrid method for lithium-ion batteries using BiGRU and AM co-modified Seq2Seq network and H-infinity filter," Energy, Elsevier, vol. 300(C).
    14. Dong, Zhe & Liu, Miao & Guo, Zhiwu & Huang, Xiaojin & Zhang, Yajun & Zhang, Zuoyi, 2019. "Adaptive state-observer for monitoring flexible nuclear reactors," Energy, Elsevier, vol. 171(C), pages 893-909.
    15. Zhong, Shenghui & Zhang, Fan & Jangi, Mehdi & Bai, Xue-Song & Yao, Mingfa & Peng, Zhijun, 2020. "Structure and propagation of n-heptane/air premixed flame in low temperature ignition regime," Applied Energy, Elsevier, vol. 275(C).
    16. Mark Treacy & Leilei Xu & Hesameddin Fatehi & Ossi Kaario & Xue-Song Bai, 2024. "Performance of a Methanol-Fueled Direct-Injection Compression-Ignition Heavy-Duty Engine under Low-Temperature Combustion Conditions," Energies, MDPI, vol. 17(17), pages 1-14, August.
    17. Meznah M. Alanazi & Awatif A. Hendi & Bagh Ali & Sonia Majeed & Ahmed Kadhim Hussein & Nehad Ali Shah, 2023. "Significance of Darcy–Forchheimer Law, Activation Energy, and Brownian Motion of Tiny Particles on the Dynamics of Rotating MHD Micropolar Nanofluid," Mathematics, MDPI, vol. 11(4), pages 1-13, February.
    18. Luka Lešnik & Breda Kegl & Eloísa Torres-Jiménez & Fernando Cruz-Peragón & Carmen Mata & Ignacijo Biluš, 2021. "Effect of the In-Cylinder Back Pressure on the Injection Process and Fuel Flow Characteristics in a Common-Rail Diesel Injector Using GTL Fuel," Energies, MDPI, vol. 14(2), pages 1-21, January.
    19. Chaoqun Hu & Zhijun Wu & Alessandro Ferrari & Meng Ji & Jun Deng & Oscar Vento, 2024. "Numerical Study on Internal Flow and Cavitation Characteristics of GDI Injectors for Different Nozzle Orifice Geometries," Energies, MDPI, vol. 17(16), pages 1-21, August.
    20. Yang, Li & Cao, Yunqi & Jia, Zhixuan & Liu, Fang & Song, Zhengchang, 2023. "Properties and mechanisms of low concentration methane catalytic combustion in porous media supported with transition metal oxides," Applied Energy, Elsevier, vol. 350(C).

    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:eee:energy:v:298:y:2024:i:c:s0360544224011599. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.