Author
Listed:
- Zhang, Hong
- Zhao, Yuxuan
- Tian, Yu
- Zhang, Yifan
- Tao, Zhenyi
- Xu, Shiqi
Abstract
Large-capacity lithium-ion batteries (LIBs) heating technology is a key factor for electric vehicles to cope with low-temperature conditions. However, at the individual cell level, due to the large size and uneven heat generation, large-capacity LIBs exhibit significant temperature non-uniformity. At the module level, temperature non-uniformity can also arise because of different heat transfer conditions and variations in heating power. Temperature non-uniformity can manifest during the operation of the battery, especially during low-temperature warm-up, which adversely affects the battery's lifespan and reliability. Currently, mainstream heating methods face significant challenges in balancing temperature uniformity and heating rate at both the cell and module levels. Internal heating techniques, such as pulsed internal resistance self-heating, and external heating methods, like liquid heating, inherently struggle to optimize temperature uniformity across multiple levels due to their fundamental principles. To address this issue, this study proposed a low-temperature warm-up multi-level optimization method based on temperature uniformity and conducted an optimized design for large-capacity LIBs and a sandwich self-heating structure. An uneven heat generation model is established and validated through a low-temperature heating experiment to analyze the uneven heat generation of LIBs under low temperatures. Building on this, the heating non-uniformity at both the cell level and module level is analyzed. Due to the sandwich structure of the battery and heating sheets, optimization can be simultaneously achieved at both the cell and module levels by modifying the topology and heating power of the heating sheets The results indicate that when heating a cell with a heating speed (5.39 °C/min for cell and 5.04 °C/min for module) in a −30 °C environment, the temperature difference at the cell level can be constrained to within 1.31 °C for cell level and 4.96 °C for module level which are significant improvements of temperature uniformity (29.2 % and 32.7 %). Furthermore, the multi-level optimization methods can be applied to other low-temperature warm-up methods and other levels of batteries. It provides guidance for addressing the temperature non-uniformity optimization issues in batteries and holds the potential for widespread application in different usage scenarios.
Suggested Citation
Zhang, Hong & Zhao, Yuxuan & Tian, Yu & Zhang, Yifan & Tao, Zhenyi & Xu, Shiqi, 2025.
"Multi-level optimization of low-temperature heating methods for large-capacity lithium-ion batteries based on temperature uniformity,"
Energy, Elsevier, vol. 330(C).
Handle:
RePEc:eee:energy:v:330:y:2025:i:c:s0360544225022704
DOI: 10.1016/j.energy.2025.136628
Download full text from publisher
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:s0360544225022704. 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.