IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v321y2025ics0360544225011041.html
   My bibliography  Save this article

Multi-objective predictive cruise control for electric heavy-duty trucks considering fleet battery swapping under cyber-physical system

Author

Listed:
  • Liu, Yanwei
  • Liang, Ziyong
  • Zhong, Wei
  • Xue, Yu
  • Wang, Yue
  • Tao, Naian
  • Lu, Yanbo

Abstract

Electric truck fleets require battery swapping to continue transportation tasks. However, due to the inability to predict battery swap station electricity prices and queuing times in advance, drivers find it difficult to plan and control their speed effectively. To address this, this paper first establishes a multi-objective driving planning model for the truck fleet, considering factors such as electricity prices, queuing times at swap stations, and energy consumption, to optimize the battery swapping time window for the trucks. Subsequently, a Vehicle-to-Cloud (V2C) hierarchical architecture based on Cyber-Physical System (CPS) is proposed, in which predictive cruise control for the trucks is deployed. This system enables dynamic speed adjustments through real-time information exchange between the cloud and vehicles, improving the economic efficiency of the fleet during battery swaps. Finally, a simulation based on real battery swap scenarios is conducted to compare the fleet's journey to a swap station. The results show that, compared to the commonly used constant-speed cruise control system, the proposed cloud-supported predictive cruise control (PCC) system reduces battery swapping costs 8.81%–9.01 % and driving energy consumption 10.48%–15.56 %.

Suggested Citation

  • Liu, Yanwei & Liang, Ziyong & Zhong, Wei & Xue, Yu & Wang, Yue & Tao, Naian & Lu, Yanbo, 2025. "Multi-objective predictive cruise control for electric heavy-duty trucks considering fleet battery swapping under cyber-physical system," Energy, Elsevier, vol. 321(C).
    • Handle: RePEc:eee:energy:v:321:y:2025:i:c:s0360544225011041
    DOI: 10.1016/j.energy.2025.135462
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225011041
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2025.135462?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:321:y:2025:i:c:s0360544225011041. 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.