IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v401y2025ipcs030626192501548x.html
   My bibliography  Save this article

A spatial-temporal scheduling framework for EV charging with multi-mode coordination and user subjective uncertainty

Author

Listed:
  • Zhang, Zihan
  • Liu, Xiao-Kang
  • Xiao, Jiang-Wen
  • He, Yan
  • Wang, Yan-Wu

Abstract

With the growing popularity of electric vehicles (EVs) and diversified user demands, charging stations (CS) require multiple charging modes to accommodate diverse needs. This paper proposes a comprehensive spatial-temporal scheduling model for EVs incorporating three charging modes: plug-in charging, battery-swapping, and mobile charging vehicle (MPV) services. The original multi-objective optimization model is solved via a weighted-sum approach. To address non-convexity in the EV charging sub-model, a coordinate descent method (CDM) is developed to transform it into tractable convex sub-problems. Effective scheduling of battery and MPV operations not only enhances the station’s load capacity but also achieves peak shaving and valley filling. User demand diversity is modeled through cost-driven subjective uncertainty, classifying users into three urgency-related categories. Simulation results validate the model’s effectiveness, while comparative studies analyze the impact of user types on scheduling outcomes under varying urgency scenarios.

Suggested Citation

  • Zhang, Zihan & Liu, Xiao-Kang & Xiao, Jiang-Wen & He, Yan & Wang, Yan-Wu, 2025. "A spatial-temporal scheduling framework for EV charging with multi-mode coordination and user subjective uncertainty," Applied Energy, Elsevier, vol. 401(PC).
    • Handle: RePEc:eee:appene:v:401:y:2025:i:pc:s030626192501548x
    DOI: 10.1016/j.apenergy.2025.126818
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030626192501548X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2025.126818?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:appene:v:401:y:2025:i:pc:s030626192501548x. 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.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    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.