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.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.