双流道特斯拉阀液冷板传热分析及其多目标优化
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作者单位:

1.厦门理工学院 机械与汽车工程学院,福建 厦门 361024;2.福建省客车先进设计与制造重点实验室, 福建 厦门 361024

作者简介:

许建民(1981—),副教授,博士,主要从事新能源汽车和汽车空气动力学等研究,(E-mail) xujianmin1020@163.com。

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中图分类号:

TH11

基金项目:

国家重点研发计划项目(2023YFB3406500);厦门理工学院研究生科技创新计划项目(YKJCX2023025)。


Heat transfer analysis and multi-objective optimization of a double-channel Tesla valve liquid cooling plate
Author:
Affiliation:

1.School of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen, Fujian 361024, P. R. China;2.Fujian Provincial Key Laboratory of Advanced Design and Manufacturing for Bus Coach, Xiamen, Fujian 361024, P. R. China

Fund Project:

Supported by National Key Research and Development Plan Project (2023YFB3406500), and Xiamen Institute of Technology Graduate Science and Technology Innovation Program (YKJCX2023025).

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    摘要:

    锂电池热管理系统综合性能对电池的容量和运行寿命至关重要,为了改善锂电池成包后热管理系统的综合性能,提出一种双流道特斯拉阀的液冷板冷却结构。采用数值模拟的方式,对比液冷板冷却液同侧出入口和不同侧出入口的综合性能,并将双流道特斯拉阀与原始特斯拉阀,以及直流道进行综合性能对比,使用正交试验法筛选出对双流道特斯拉阀逆流综合性能影响较大的4个参数,以此为设计变量建立与目标函数之间的Kriging响应模型,最后对其采用第二代非支配排序遗传算法(non-dominated sorting genetic algorithm II,NSGA-Ⅱ)进行多目标寻优。研究表明,不同侧出入口液冷板综合性能更优;对比直流道,双流道特斯拉阀冷板结构在逆流情况下电池最高温度 T max下降了0.67 ℃,并且其顺流时流道压降Δ p比原始特斯拉阀和直流道分别低了117.67 Pa和437.39 Pa;与初始双流道特斯拉阀相比,优化后的双流道特斯拉阀流道对应的Δ T和Δ p分别降低了1.52%和11.16%,并且液冷板综合性能(cooling plate thermal performance factor,CTPF)提升了4.81%,效果显著。该研究为动力电池冷却流道的结构设计和优化提供借鉴。

    Abstract:

    The comprehensive performance of a lithium battery thermal management system (BTMS) is critical to battery capacity and service life. To improve the system performance after module packaging, this study proposes a novel liquid cooling plate structure incorporating a double-channel Tesla valve. First, numerical simulations were conducted to compare the cooling performance of same-side versus opposite-side outlets, as well as to evaluate the double-channel Tesla valve against the original Tesla valve and a straight channel design. Then, an orthogonal experimental design was used to identify four key parameters with significant impact on overall performance. A Kriging response surface model was then established to describe the relationship between design variables and objective functions, followed by multi-objective optimization using the non-dominated sorting genetic algorithm (NSGA-Ⅱ). Results show that the opposite-side inlet-outlet configuration provides superior cooling performance. Under counterflow conditions, the double-channel Tesla valve reduced the maximum battery temperature ( T max) by 0.67 ℃ compared with the straight channel, while the pressure drop (Δ p) was 117.67 Pa and 437.39 Pa lower than those of the original Tesla valve and the straight channel, respectively. After optimization, the improved Tesla valve channels reduced Δ T and Δ p by 1.52% and 11.16%, respectively, while increasing the cooling plate thermal performance factor (CTPF) by 4.81%. These findings provide a valuable reference for the structural design and optimization of liquid cooling systems for power batteries.

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引用本文

许建民,杨炜,武颂,邓冬冬,李洛楠,孟寒.双流道特斯拉阀液冷板传热分析及其多目标优化[J].重庆大学学报,2025,48(11):54-66.

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  • 收稿日期:2024-11-19
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  • 在线发布日期: 2025-12-15
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