安徽建筑大学环境与能源工程学院,安徽 合肥 230601
张泽龙(1989—),男,讲师,主要研究方向为传热强化技术、锂电池热管理,E-mail:zzl@ahjzu.edu.cn;
丁超,教授,研究方向为建筑环境与火灾防控、新能源火灾、防火材料,E-mail:dc707@ustc.edu.cn。
收稿:2026-05-09,
修回:2026-06-29,
纸质出版:2026-09-28
移动端阅览
张泽龙, 张信, 焦艳, 等. 仿生叶脉的非均匀流道优化及电池液冷板传热特性研究[J]. 储能科学与技术, 2026, 15(9): 3448-3461.
ZHANG Zelong, ZHANG Xin, JIAO Yan, et al. Biomimetic leaf-vein-inspired nonuniform channel optimization and heat transfer characteristics of battery liquid cooling plate[J]. Energy Storage Science and Technology, 2026, 15(9): 3448-3461.
张泽龙, 张信, 焦艳, 等. 仿生叶脉的非均匀流道优化及电池液冷板传热特性研究[J]. 储能科学与技术, 2026, 15(9): 3448-3461. DOI: 10.19799/j.cnki.2095-4239.2026.0389.
ZHANG Zelong, ZHANG Xin, JIAO Yan, et al. Biomimetic leaf-vein-inspired nonuniform channel optimization and heat transfer characteristics of battery liquid cooling plate[J]. Energy Storage Science and Technology, 2026, 15(9): 3448-3461. DOI: 10.19799/j.cnki.2095-4239.2026.0389.
为提高锂离子电池热管理系统的热工水力性能,本工作提出了一种受仿生叶脉启发的非均匀流道结构液冷板。该冷板沿冷却剂主流方向划分为入口区、过渡区和出口区3个功能区域。通过数值模拟,系统研究了分支数量、分支间距和分支宽度对冷却剂分配、温度均匀性及压降的影响。结果表明,增加分支数量所降低的压降幅度大于其引起的最高温度上升幅度。入口区采用适当的非均匀分支间距可改善冷却剂再分配,在可接受的水力代价下提升电池温度均匀性。分支宽度的影响效果与其所在区域密切相关:增大入口区和出口区的分支宽度会降低流动阻力,但削弱热性能;而适度增加过渡区宽度则可以改善温度均匀性。基于正交试验法和等权重法构建综合性能函数,确定了最优结构参数组合。在此结构下,最高温度、温差和压降分别为39.51℃、11.13℃和50.11 Pa,与原结构(
T
max
=40.38℃,∆
T
=12.44℃,∆
P
=45.95 Pa)相比,优化设计的最高温度降低2.15%,温差降低10.53%,而压降升高9.05%。综上,本研究所提出的非均匀设计在仅付出中等水力代价的情况下,显著改善了电池温度均匀性并抑制了温度峰值,展现了良好的综合热工水力性能。
A biomimetic liquid cold plate with a leaf-vein-inspired nonuniform channel structure is proposed to improve the thermo-hydraulic performance of lithium-ion batter
y thermal management systems. The proposed cold plate was divided into three functional regions: inlet
transition outlet. The effects of branch number
spacing
and width on coolant distribution
temperature uniformity
and pressure drop were systematically investigated using numerical simulations. The results demonstrate that increasing the branch number reduced pressure drop but had little effect on the maximum temperature. An appropriate nonuniform branch spacing in the inlet region improved coolant redistribution and battery temperature uniformity with an acceptable hydraulic penalty. The effect of branch width depended strongly on the region. Increasing the width in the inlet and outlet regions reduced flow resistance but weakened thermal performance
whereas a moderate increase in the transition region improved temperature uniformity. Using orthogonal testing and equal-weight methods
a comprehensive performance function was constructed to determine the optimal combination of structural parameters. This optimization yielded a maximum temperature (
T
max
) of 39.51℃
a temperature difference (∆
T
) of 11.13℃
and a pressure drop of 50.11 Pa. Compared with the original structure (
T
max
= 40.38℃
∆
T
= 12.44℃
and ∆
P
= 45.95 Pa)
these values represent a 2.15% decrease in Tmax
a 10.53% decrease in ∆
T
and a 9.05% increase in ∆
P
. These results demonstrate that the proposed nonuniform design significantly improves the temperature uniformity of lithium-ion batteries while suppressing the temperature peak at only a moderate hydraulic cost
demonstrating excellent comprehensive thermo-hydraulic performance.
HASAN M M, HAQUE R, JAHIRUL M I, et al. Advancing energy storage: The future trajectory of lithium-ion battery technologies[J]. Journal of Energy Storage, 2025, 120: 116511. DOI:10.1016/j.est.2025.116511.
PHOGAT P, DEY S, WAN M. Powering the sustainable future: A review of emerging battery technologies and their environmental impact[J]. RSC Sustainability, 2025, 3(8): 3266-3306. DOI:10.1039/d5su00127g.
周海洋, 张振东, 盛雷, 等. 储能用锂电池浸没式热性能调控仿真及热安全实验研究[J]. 储能科学与技术, 2025, 14(5): 1866-1874.
ZHOU H Y, ZHANG Z D, SHENG L, et al. Simulation of immersion thermal performance regulation and thermal safety experimental study for energy storage lithium batteries[J]. Energy Storage Science and Technology, 2025, 14(5): 1866-1874.
LIU J L, ZHOU L F, ZHANG H, et al. Aging and thermal behavior of lithium-ion battery under high charging current cycling[J]. Thermal Science and Engineering Progress, 2026, 69: 104466. DOI:10.1016/j.tsep.2025.104466.
ZHOU L F, JIN X M, CHUN E, et al. Thermal behavior and failure mechanisms of lithium-ion battery under high discharging rate[J]. Applied Thermal Engineering, 2025, 278: 127043. DOI:10.1016/j.applthermaleng.2025.127043.
BAI M C, LIU N J, LIU J X, et al. A review of thermal management technologies for electric vehicles[J]. Journal of Energy Storage, 2026, 143: 119658. DOI:10.1016/j.est.2025. 119658.
DAS K, RAWAT S, SAINI D K. Advances in thermal management optimizationfor small electric vehicles using lithium-ion batteries: A comprehensive review[J]. Clean Energy, 2026, 10(1): 118-139. DOI:10.1093/ce/zkaf065.
TAKISO T A, YU J W. Research progress on the optimization of thermal management systems for lithium-ion batteries in new energy vehicles[J]. Journal of Energy Storage, 2025, 134: 118144. DOI:10.1016/j.est.2025.118144.
WANG C, LIU Q X, WANG Z Q, et al. A review of power battery cooling technologies[J]. Renewable and Sustainable Energy Reviews, 2025, 213: 115494. DOI:10.1016/j.rser.2025.115494.
FU P, ZHAO L, WANG X G, et al. A review of cooling technologies in lithium-ion power battery thermal management systems for new energy vehicles[J]. Processes, 2023, 11(12): 3450. DOI:10.3390/pr11123450.
PILALI E, SOLTANI M, HATEFI M, et al. Passive thermal management systems with phase change material-based methods for lithium-ion batteries: A state-of-the-art review[J]. Journal of Power Sources, 2025, 632: 236345. DOI:10.1016/j.jpowsour.2025.236345.
HE L G, GU Z H, ZHANG Y, et al. Review on thermal management of lithium-ion batteries for electric vehicles: Advances, challenges, and outlook[J]. Energy & Fuels, 2023, 37(7): 4835-4857. DOI:10.1021/acs.energyfuels.2c04243.
ZHAO Y Z, ZHANG X L, YANG B, et al. A review of battery thermal management systems using liquid cooling and PCM[J]. Journal of Energy Storage, 2024, 76: 109836. DOI:10.1016/j.est.2023.109836.
YAO Z M, YIN R X, PENG Q G. A review on thermal management system and employed biomimetic technology to enhance lithium-ion battery packs for electric vehicles[J]. Journal of Energy Storage, 2025, 111: 115399. DOI:10.1016/j.est.2025. 115399.
LIU H K, SHI C T, LIU C H, et al. A review of lithium-ion battery thermal management based on liquid cooling and its evaluation method[J]. Energies, 2025, 18(17): 4569. DOI:10.3390/en18 174569.
AN Z G, GAO W L, ZHANG J Y, et al. Enhancing heat dissipation of thermal management system utilizing modular dual bionic cold plates for prismatic lithium batteries[J]. Journal of Energy Storage, 2024, 87: 111541. DOI:10.1016/j.est.2024.111541.
CHEN Z H, HONG X B, HUO Z R, et al. Enhancing lithium-ion battery cooling efficiency through leaf vein-inspired double-layer liquid cooling plate design[J]. Journal of Energy Storage, 2024, 88: 111584. DOI:10.1016/j.est.2024.111584.
DONG H Y, CHEN X C, YAN S T, et al. Multi-objective optimization of lithium-ion battery pack thermal management systems with novel bionic lotus leaf channels using NSGA-II and RSM[J]. Energy, 2025, 314: 134226. DOI:10.1016/j.energy. 2024.134226.
李志强, 巴义春, 孙广强. 锂电池蜂窝形叉状流道冷板散热研究[J]. 储能科学与技术, 2025, 14(5): 1776-1783.
LI Z Q, BA Y C, SUN G Q. Research on heat dissipation of cold plates with honeycomb and fork channels of lithium batteries[J]. Energy Storage Science and Technology, 2025, 14(5): 1776-1783.
ZHAN S, SHI X L, LIU Y G, et al. Topology optimization of a new leaf-vein type bionic channel liquid-cooling plate for lithium batteries[J]. International Journal of Heat and Fluid Flow, 2025, 116: 109932. DOI:10.1016/j.ijheatfluidflow.2025.109932.
SUN G Q, LI Z Q, WANG F, et al. Study on cooling of bionic leaf-vein channel liquid-cooled plate for lithium-ion battery pack[J]. Thermal Science, 2024, 28(5 Part A): 3907-3919. DOI:10.2298/tsci231030110s.
YUAN J F, GU Z J, BAO J, et al. Structure optimization design and performance analysis of liquid cooling plate for power battery[J]. Journal of Energy Storage, 2024, 87: 111517. DOI:10.1016/j.est.2024.111517.
MENG J H, MA C Y, LIU Y, et al. Artificial neural network (ANN) based prediction and optimization of battery thermal management for non-uniform flow channel design[J]. Journal of Energy Storage, 2025, 111: 115404. DOI:10.1016/j.est.2025.115404.
ZHOU X L, GUO W L, SHI X Y, et al. Machine learning assisted multi-objective design optimization for battery thermal management system[J]. Applied Thermal Engineering, 2024, 253: 123826. DOI:10.1016/j.applthermaleng.2024.123826.
YE L S, LI C S, WANG C H, et al. A multi-objective optimization approach for battery thermal management system based on the combination of BP neural network prediction and NSGA-II algorithm[J]. Journal of Energy Storage, 2024, 99: 113212. DOI:10.1016/j.est.2024.113212.
YANG H, LIU N H, LI M M, et al. Design and optimization of heat pipe-assisted liquid cooling structure for power battery thermal management based on NSGA-II and entropy weight-TOPSIS method[J]. Applied Thermal Engineering, 2025, 272: 126416. DOI:10.1016/j.applthermaleng.2025.126416.
PENG Z Y, HUANG J X, LV J S, et al. Multi-objective optimization of cold plate with spoiler for battery thermal management system using whale optimization algorithm[J]. Applied Thermal Engineering, 2025, 260: 124974. DOI:10.1016/j.applthermaleng. 2024.124974.
CHEN H P, ZHANG T S, HAN Z W, et al. Battery thermal management enhancement based on bionics[J]. International Communications in Heat and Mass Transfer, 2024, 157: 107756. DOI:10.1016/j.icheatmasstransfer.2024.107756.
BERNARDI D, PAWLIKOWSKI E, NEWMAN J. A general energy balance for battery systems[J]. Journal of the Electrochemical Society, 1985, 132(1): 5-12. DOI:10.1149/1.2113792.
CHANG L J, CHEN W Y, MAO Z Y, et al. Experimental study on the effect of ambient temperature and discharge rate on the temperature field of prismatic batteries[J]. Journal of Energy Storage, 2023, 59: 106577. DOI:10.1016/j.est.2022.106577.
0
浏览量
2
下载量
0
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010102001997号