IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v17y2024i4p934-d1340287.html
   My bibliography  Save this article

Reliability Assessment of Integrated Power and Road System for Decarbonizing Heavy-Duty Vehicles

Author

Listed:
  • Wei Zuo

    (School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, UK)

  • Kang Li

    (School of Electronic and Electrical Engineering, University of Leeds, Leeds LS2 9JT, UK)

Abstract

With the continual expansion of urban road networks and global commitments to net zero, electric vehicles (EVs) have been considered to be the most viable solution to decarbonize the transportation sector. In recent years, the electric road system (ERS) has been introduced and piloted in a few countries and regions to decarbonize heavy-duty vehicles. However, little research has been carried out on its reliability. This paper fills the gap and investigates the reliability of electric truck power supply systems for electric road (ETPSS–ER), which considers both the power system and truck traffic networks. First, a brief introduction of electric roads illustrates the working principle of EV charging on roads. Then, an optimized electric truck (ET) travel pattern model is built, based on which the corresponding ET charging load demand, including both static charging and dynamic charging, is conducted. Then, based on the new ET travel pattern model, a daily travel-pattern-driven Monte Carlo simulation-based reliability assessment method for ETPSS–ER system is presented. Case studies based on the IEEE RBTS system shows that ETs driving on ERS systems can meet the daily travel demands. The case studies also examine the impacts of increasing number of ETs, extra wind power, and battery energy storage systems (BESS) on the reliability of ERS power systems.

Suggested Citation

  • Wei Zuo & Kang Li, 2024. "Reliability Assessment of Integrated Power and Road System for Decarbonizing Heavy-Duty Vehicles," Energies, MDPI, vol. 17(4), pages 1-18, February.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:4:p:934-:d:1340287
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/17/4/934/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/17/4/934/
    Download Restriction: no
    ---><---

    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:17:y:2024:i:4:p:934-:d:1340287. 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: 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.