Multi-objective optimization of spiral channel liquid cooling plate aimed at temperature uniformity and resistance reduction for thermal management of energy storage system

IF 5 2区工程技术 Q1 ENGINEERING, MECHANICAL

International Journal of Heat and Mass Transfer Pub Date : 2025-05-15 DOI:10.1016/j.ijheatmasstransfer.2025.127234

Haolin Gan, Jian’an Tian, Xinyi Wang, Changhui Liu, Jiateng Zhao

{"title":"Multi-objective optimization of spiral channel liquid cooling plate aimed at temperature uniformity and resistance reduction for thermal management of energy storage system","authors":"Haolin Gan, Jian’an Tian, Xinyi Wang, Changhui Liu, Jiateng Zhao","doi":"10.1016/j.ijheatmasstransfer.2025.127234","DOIUrl":null,"url":null,"abstract":"<div><div>Spiral channel liquid cooling plates (LCPs) exhibit good heat transfer performance and high temperature uniformity; however, this design suffers from significant flow resistance, making them unsuitable for application in battery energy storage systems (BESS). To address this issue, this paper proposes a method for optimizing the corner structure. The corner structure of the LCP is defined using the ellipse axial ratio, corner width, and straight section ratio as variables for the surrogate model. The Nusselt number (Nu), resistance characteristic coefficient (ξ), heat transfer surface temperature standard deviation (T<sub>σ</sub>), and performance evaluation coefficient (PEC) are chosen as dependent variables to construct a prediction model based on the backpropagation neural network (BPNN). Subsequently, the LCP is optimized using the multi-objective particle swarm optimization (MOPSO) algorithm. The multi-objective optimization results show that, compared to the initial design, the optimized LCP leads to an 8.66 % reduction in Nu. However, the T<sub>σ</sub> decreased by 2.62 %, and the ξ was reduced by 19.94 %. Under the battery charge-discharge conditions, the optimized LCP exhibits similar thermal management performance to the initial design, while the system pressure drop is reduced by 17.4 %. This optimization structure effectively addresses the temperature uniformity requirements of the BESS and enhances the system’s economic efficiency by reducing energy consumption.</div></div>","PeriodicalId":336,"journal":{"name":"International Journal of Heat and Mass Transfer","volume":"249 ","pages":"Article 127234"},"PeriodicalIF":5.0000,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Heat and Mass Transfer","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0017931025005733","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}

引用次数: 0

Abstract

Spiral channel liquid cooling plates (LCPs) exhibit good heat transfer performance and high temperature uniformity; however, this design suffers from significant flow resistance, making them unsuitable for application in battery energy storage systems (BESS). To address this issue, this paper proposes a method for optimizing the corner structure. The corner structure of the LCP is defined using the ellipse axial ratio, corner width, and straight section ratio as variables for the surrogate model. The Nusselt number (Nu), resistance characteristic coefficient (ξ), heat transfer surface temperature standard deviation (T_σ), and performance evaluation coefficient (PEC) are chosen as dependent variables to construct a prediction model based on the backpropagation neural network (BPNN). Subsequently, the LCP is optimized using the multi-objective particle swarm optimization (MOPSO) algorithm. The multi-objective optimization results show that, compared to the initial design, the optimized LCP leads to an 8.66 % reduction in Nu. However, the T_σ decreased by 2.62 %, and the ξ was reduced by 19.94 %. Under the battery charge-discharge conditions, the optimized LCP exhibits similar thermal management performance to the initial design, while the system pressure drop is reduced by 17.4 %. This optimization structure effectively addresses the temperature uniformity requirements of the BESS and enhances the system’s economic efficiency by reducing energy consumption.

查看原文本刊更多论文

针对储能系统热管理中温度均匀性和降低阻力的螺旋通道液冷板多目标优化

螺旋通道液冷板具有良好的传热性能和较高的温度均匀性；然而，这种设计存在明显的流动阻力，使其不适合应用于电池储能系统（BESS）。针对这一问题，本文提出了一种转角结构优化方法。LCP的拐角结构使用椭圆轴比、拐角宽度和直截面比作为代理模型的变量来定义。以努塞尔数（Nu）、电阻特征系数（ξ）、传热表面温度标准差（Tσ）和性能评价系数（PEC）为因变量，构建了基于反向传播神经网络（BPNN）的预测模型。然后，利用多目标粒子群优化算法对LCP进行优化。多目标优化结果表明，与初始设计相比，优化后的LCP使Nu降低了8.66%。而Tσ降低了2.62%，ξ降低了19.94%。在电池充放电条件下，优化后的LCP具有与初始设计相似的热管理性能，系统压降降低了17.4%。该优化结构有效地解决了BESS对温度均匀性的要求，并通过降低能耗提高了系统的经济效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International Journal of Heat and Mass Transfer 工程技术-工程：机械

CiteScore

10.30

自引率

13.50%

发文量

1319

审稿时长

41 days

期刊介绍： International Journal of Heat and Mass Transfer is the vehicle for the exchange of basic ideas in heat and mass transfer between research workers and engineers throughout the world. It focuses on both analytical and experimental research, with an emphasis on contributions which increase the basic understanding of transfer processes and their application to engineering problems. Topics include: -New methods of measuring and/or correlating transport-property data -Energy engineering -Environmental applications of heat and/or mass transfer