Optimal Investigation on the Thermal Management of Battery Based on a Bionic Shark Scale Structure

Xiao Xin Xu Wenqiang

doi:10.12465/issn.0253-4339.20250502001

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Optimal Investigation on the Thermal Management of Battery Based on a Bionic Shark Scale Structure

更新时间：2025-12-23

- Optimal Investigation on the Thermal Management of Battery Based on a Bionic Shark Scale Structure
- Journal of Refrigeration Pages: 1-9(2025)
- 作者机构：
  
  东华大学环境科学与工程学院空气环境与建筑节能研究所上海 201620
- 作者简介：
- 基金信息：
- DOI：10.12465/issn.0253-4339.20250502001
  CLC： TM912;TB34
- CSTR：XXXXX.XX.XXX.20250502001
- Received：02 May 2025，
  
  Revised：2025-06-09，
  
  Accepted：27 June 2025，
  
  Published Online：22 December 2025，
- 稿件说明：
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肖鑫,许文强.基于鲨鱼鱼鳞结构仿生的电池热管理优化研究[J].制冷学报,

Xiao Xin Xu Wenqiang.Optimal Investigation on the Thermal Management of Battery Based on a Bionic Shark Scale Structure[J].Journal of Refrigeration,
肖鑫,许文强.基于鲨鱼鱼鳞结构仿生的电池热管理优化研究[J].制冷学报, DOI：10.12465/issn.0253-4339.20250502001. CSTR： XXXXX.XX.XXX.20250502001.

Xiao Xin Xu Wenqiang.Optimal Investigation on the Thermal Management of Battery Based on a Bionic Shark Scale Structure[J].Journal of Refrigeration, DOI：10.12465/issn.0253-4339.20250502001. CSTR： XXXXX.XX.XXX.20250502001.

摘要

为强化电动汽车电池热管理的散热效果，本研究提出了一种仿生鲨鱼鳞片结构用于优化相变材料散热片，并耦合轴向风冷对电池进行控温。对电池发热特性实验后，构筑三维模型，模拟对比研究了自然对流、风冷、风冷耦合PCM及风冷耦合仿生学优化PCM的电池散热情况。结果表明：在2 C放电倍率情况下，风冷耦合仿生学优化的PCM电池温升仅为纯自然对流的33.6%，电池表面平均温度为41.8 ℃，可将电池控制在合适温度范围。且仿生学结构可使风道进出口压降降低4%，有效减少风机能耗。

Abstract

To improve heat dissipation in the thermal management of batteries for electric vehicles， this study proposes a bionic structure based on shark scales. The design optimizes a phase-change material （PCM） heat sink in conjunction with axial air cooling to regulate battery temperature. Based on performance experiments of the battery， a three-dimensional model was built to investigate and compare the heat dissipation of the battery in natural convection， forced convection， forced convection coupled with PCM， and forced convection coupled with bionics-optimized PCM. The results indicate that the temperature rise of the battery with the forced convection coupled with bionics-optimized PCM is only 33.6% of that with natural convection at a 2 °C discharge， and the average temperature of the battery is 41.8 °C， which keeps the battery within a suitable temperature range. In addition， the bionic structure can reduce the pressure drop at the inlet and outlet by 4% compared with the traditional method.

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references

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