[1]王恒,曹鹏飞,陈国文,等.相变材料与风冷耦合的电池热管理优化策略[J].郑州大学学报(工学版),2026,47(XX):1-8.[doi:10.13705/j.issn.1671-6833.2026.03.008]
　WANG Heng,CAO Pengfei,CHEN Guowen,et al.Optimization Strategy of Thermal Management of Batteries Coupled with Phase Change Materials and Air Cooling[J].Journal of Zhengzhou University (Engineering Science),2026,47(XX):1-8.[doi:10.13705/j.issn.1671-6833.2026.03.008]
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相变材料与风冷耦合的电池热管理优化策略()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
47
期数:
2026年XX
页码:
1-8
栏目:
出版日期:
2026-09-10

文章信息/Info

Title:
Optimization Strategy of Thermal Management of Batteries Coupled with Phase Change Materials and Air Cooling
作者:
王恒1 ;  曹鹏飞1 ;  陈国文2 ;  杨婵1 ;  朱俊帆1 ;  张亚飞1 ;  王瑞鑫1 ;  佘家豪1
1. 长安大学 能源与电气工程学院,陕西 西安 710016;2. 徐工新能源动力科技有限公司,江苏 徐州 221700
Author(s):
WANG Heng1; CAO Pengfei 1; CHEN Guowen2;  YANG Chan1;  ZHU Junfan1; ZHANG Yafei1;  WANG Ruixin1;  SHE Jiahao1
1. School of Energy and Electrical Engineering, Chang ’an University, Xi’ an 710016, China;2. XU GONG New Energy Power Technology Co,LTD., Xuzhou, 221700, China
关键词:
电池热管理;  多目标优化;  遗传算法;  相变冷却;  风冷
Keywords:
battery thermal management;  multi-objective optimization;  genetic algorithm;  phase change cooling;  air coolin
分类号:
TM912U469. 72
DOI:
10.13705/j.issn.1671-6833.2026.03.008
文献标志码:
A
摘要:
针对高放电倍率电流下单一相变材料热管理的电池模组存在热失效和中心温度积累的难题,在相变材料冷却系统中引入空气耦合,提出了耦合热管理系统的电池排布结构优化策略。本策略针对复合相变材料(CPCM)耦合空气方式的电池热管理系统,基于拉丁超立方抽样,采用Kriging近似模型和MIGA算法对电池间距进行多目标优化。研究表明,电池模组采用优化后间距,相变材料热管理系统最高温度降低3.64 ℃,最大温差降低2.75 ℃;相变材料-空气耦合热管理系统电池最高温度进一步下降0.6 ℃。并进一步对比研究了材料密度、进风风速和放电倍率对优化电池模组热管理系统的影响,结果表明,高密度的CPCM可提升系统的散热能力与均温性;高风速在增强散热的同时会降低系统均温性。优化后的耦合热管理系统,在2C放电结束时,最高温度为42.60 ℃,最大温差低于1 ℃;在3C放电结束时,最高温度可以控制在44.9 ℃以下,最大温差低于1.5 ℃。
Abstract:
Under high-discharge-rate currents, battery modules with single-phase change material (PCM) thermal management experience thermal failure and central temperature accumulation. To solve this problem, air cooling is introduced into the PCM cooling system. A battery arrangement optimization strategy for hybrid thermal management is proposed. A composite PCM (CPCM) coupled with forced air convection was developed for the thermal management system. This strategy targets a composite PCM (CPCM) coupled with air cooling. Latin Hypercube Sampling is adopted. Kriging approximation modeling and the MIGA algorithm are applied. Multi-objective optimization of battery spacing is conducted. Results demonstrate that the optimized spacing configuration significantly improves thermal performance. Compared to the initial spacing, the PCM-only system achieves a reduction in maximum temperature of 3.64 °C and a decrease in maximum temperature difference of 2.75 °C. Furthermore, the proposed CPCM-air coupled system provides an additional peak temperature reduction of 0.6 °C. Parametric studies reveal that higher CPCM density enhances both cooling capacity and temperature uniformity. Increasing air velocity improves heat dissipation but reduces temperature homogeneity. Besides, the optimized module with coupled thermal management system maintains temperature below 42.60 °C (ΔT<1 °C) at 2C discharge and below 44.9 °C (ΔT<1.5 °C) at 3C discharge.

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备注/Memo

备注/Memo:
收稿日期:2025-10-22;修订日期:2025-11-30
基金项目:国家资助博士后研究人员计划( GZC20241442) ;陕西省博士后基金( 2024BSHSDZZ070) ;陕西省大学生创新创业计划( S202410710392X)
通信作者:王恒(1973— ) ,男,山东济南人,长安大学副教授,博士,主要从事车用清洁能源应用理论与技术的研究,E-mail:wangheng@chd.edu.cn。
更新日期/Last Update: 2026-01-21