Research on liquid-cooling structure for lithium-ion battery with bionic leaf-vein liquid channels
• This design is inspired by the efficient and uniform fluid distribution observed in natural leaf veins, which is a departure from traditional rectangular flow channels commonly used in liquid cooling systems . • Extracting leaf veins using Canny edge detection algorithm and conducting multiple physical field numerical studies. • Based on this basic model, different inlet and outlet structures are designed, and the finite element method is used to calculate the velocity field , temperature field , and pressure field, in order to comprehensively analyze the cooling performance. • The numerical results were verified through experiments, ensuring the reliability and practical applicability of our findings. This combination of numerical simulation and experimental validation is crucial for translating theoretical designs into practical solutions. Effective thermal management is crucial for the thermal safety and temperature uniformity of Lithium-ion batteries. Taking inspiration from the natural leaf-vein structure, this paper proposes a cold plate with novel internal bionic leaf-vein liquid channels. Three-dimensional cold plate models are established according to the contour of leaf-vein for multi-physical field numerical simulations. The effects of different flow rates and inlet/outlet arrangements on the heat transfer performance are investigated. The velocity, temperature, and pressure fields are calculated with the finite element method . Compared with the conventional rectangular flow channel, the results demonstrate that the maximum temperature of the cooling plate with the bionic-type structure is reduced by 10.17 K and the heat transfer efficiency is increased by 22.43 %. Finally, the properties of the test samples are compared to verify the numerical results. The proposed bionic leaf-vein cooling channels provide a positive direction for designing lithium-ion battery cooling systems to control the temperature distribution of the cell module.
Authors
- Qinghai Zhao (ORCID: https://orcid.org/0000-0002-5984-6516)
- Honghui Li (ORCID: https://orcid.org/0000-0002-6831-1919)
- Qi Tang (ORCID: https://orcid.org/0000-0003-2959-0203)
- Runze Yan (ORCID: https://orcid.org/0000-0002-6558-4567)
- Yong Zhang (ORCID: https://orcid.org/0000-0002-7400-5803)
Institutions
- Qingdao University (CN)
- Qingdao University of Science and Technology (CN)
- Qingdao Academy of Intelligent Industries (CN)
Publication Details
- Journal
- International Journal of Heat and Fluid Flow
- Published
- 2025-01-09
- DOI
- https://doi.org/10.1016/j.ijheatfluidflow.2025.109743
- Citations
- 23
- Primary Topic
- Advanced Battery Technologies Research
- Type
- article
- Field-Weighted Citation Impact
- 15.70
Funders
- Natural Science Foundation of Shandong Province