IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v330y2025ics0360544225025101.html
   My bibliography  Save this article

Integrated energy-thermal management strategy for range extended electric vehicles based on soft actor-critic under low environment temperature

Author

Listed:
  • Sun, Ziyi
  • Guo, Rong
  • Luo, Maohui

Abstract

The integrated energy-thermal management system is significant in improving vehicle energy utilization efficiency under low temperatures. An integrated energy-thermal management strategy based on Gaussian mixture model (GMM) and soft actor-critic (SAC) that fully utilizes the waste heat from the engine and electric motor to heat the battery is proposed. The GMM model classifies the driving conditions into 5 clusters featuring vehicle velocity and required power and is used as a state input to the SAC. SAC agent is trained to achieve battery heating, SOC maintenance, and equivalent energy saving. The performance of the GMM-SAC based strategy is compared with the rule based and SAC based strategies according to the average battery temperature rise rate and equivalent fuel consumption. The GMM-SAC based strategy improves the average battery temperature rise rate (from environment temperature to 10 °C) by up to 58.22 % over the rule-based strategy, better than 21.03 % of the SAC-based strategy. The GMM-SAC based strategy saves up to 5.52 % equivalent fuel consumption over the rule-based strategy, superior to 4.51 % of the SAC-based strategy.

Suggested Citation

  • Sun, Ziyi & Guo, Rong & Luo, Maohui, 2025. "Integrated energy-thermal management strategy for range extended electric vehicles based on soft actor-critic under low environment temperature," Energy, Elsevier, vol. 330(C).
    • Handle: RePEc:eee:energy:v:330:y:2025:i:c:s0360544225025101
    DOI: 10.1016/j.energy.2025.136868
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225025101
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2025.136868?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:330:y:2025:i:c:s0360544225025101. 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.