IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i18p13628-d1238199.html
   My bibliography  Save this article

Controller Design for Optimizing Fuel Consumption of Truck Platoon on Hilly Roads

Author

Listed:
  • Jianbo Feng

    (School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

  • Yang Chen

    (School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

  • Liyang He

    (School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

  • Yanxue Wang

    (School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

Abstract

Platoons consisting of automated and connected vehicles show great potential in reducing fuel or energy consumption. However, the fuel consumption optimization problem for truck platoons traveling on hilly roads has not been investigated thoroughly. To address that problem, a hierarchical control framework is proposed in this paper as follows: (1) The supervising layer is responsible for generating the fuel-oriented optimal speed profile based on the terrain information; (2) The distributed layer consists of an LQR feedback controller, a DMPC feedforward controller and a tube integration method to integrate the two controllers; it receives the optimal speed profile from the supervising layer and yields the control input to the individual vehicle. In this paper, a novel optimal speed profile generation method is proposed, a novel integration of tube method is applied, and the stability performance is analyzed rigorously. Simulations based on a real hilly road are conducted, and the performance of the proposed controller is evaluated regarding the platoon stability, fuel consumption and computation efficiency. The results of the simulation show that the controller is capable of maintaining the string stability of the truck platoon and reducing fuel consumed on hilly roads while improving computation efficiency.

Suggested Citation

  • Jianbo Feng & Yang Chen & Liyang He & Yanxue Wang, 2023. "Controller Design for Optimizing Fuel Consumption of Truck Platoon on Hilly Roads," Sustainability, MDPI, vol. 15(18), pages 1-19, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13628-:d:1238199
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/18/13628/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/18/13628/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sai Teja Kaluva & Aditya Pathak & Aybike Ongel, 2020. "Aerodynamic Drag Analysis of Autonomous Electric Vehicle Platoons," Energies, MDPI, vol. 13(15), pages 1-18, August.
    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. Władysław Marek Hamiga & Wojciech Bronisław Ciesielka, 2022. "Numerical Analysis of Aeroacoustic Phenomena Generated by Heterogeneous Column of Vehicles," Energies, MDPI, vol. 15(13), pages 1-37, June.
    2. Carlos Santos-Iglesia & Pablo Fernández-Arias & Álvaro Antón-Sancho & Diego Vergara, 2022. "Energy Consumption of the Urban Transport Fleet in UNESCO World Heritage Sites: A Case Study of Ávila (Spain)," Sustainability, MDPI, vol. 14(9), pages 1-19, May.
    3. Hesham Ebrahim & Robert Dominy, 2021. "The Effect of Afterbody Geometry on Passenger Vehicles in Platoon," Energies, MDPI, vol. 14(22), pages 1-12, November.

    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:jsusta:v:15:y:2023:i:18:p:13628-:d:1238199. 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.