Article(id=1321485646498218486, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321485607872872740, articleNumber=null, orderNo=null, doi=10.13234/j.issn.2095-2805.2025.5.130, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1660579200000, receivedDateStr=2022-08-16, revisedDate=1664553600000, revisedDateStr=2022-10-01, acceptedDate=1665417600000, acceptedDateStr=2022-10-11, onlineDate=1792996330140, onlineDateStr=2026-10-26, pubDate=1759161600000, pubDateStr=2025-09-30, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792996330140, onlineIssueDateStr=2026-10-26, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792996330140, creator=13701087609, updateTime=1792996330140, updator=13701087609, issue=Issue{id=1321485607872872740, tenantId=1146029695717560320, journalId=1146031654075715584, year='2025', volume='23', issue='5', pageStart='1', pageEnd='332', issueExtLink='null', onlineDate='null', pubDate='1759161600000', pubDateStr='2025-09-30', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1792996320932, creator='13701087609', updateTime=1792996886850, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1321487981563728115, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321485607872872740, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1321487981563728116, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321485607872872740, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=130, endPage=140, ext={EN=ArticleExt(id=1321485648167551479, articleId=1321485646498218486, tenantId=1146029695717560320, journalId=1146031654075715584, language=EN, title=Study on Temperature Field Evolution in Hydrogen Fuel Cell Diffusion Layer, columnId=1152281492550987902, journalTitle=Journal of Power Supply, columnName=Renewable Energy System, runingTitle=null, highlight=null, articleAbstract=

To study the temperature evolution law in the hydrogen fuel cell diffusion layer and analyze the factors affecting the temperature distribution, the cathode and anode diffusion layers and their internal fluid were taken as the research objects, and a correlation method for the heat and mass transfer between diffusion layer Z-Y profile and X-Y profile was established. Considering the fluid Soret effect, Dufour effect, adsorption effect and fluid-solid conjugate heat transfer effect in the diffusion layer, and combined with the N-S equation, Brinkman-Darcy extended model, Langmuir adsorption equation and interfacial capture Cahn-Hilliard theory, a heat and mass double-diffusion model of gas-liquid two-phase flow in porous media was constructed. The Lattice Boltzmann method was used for numerical solution to demonstrate the temperature evolution law in the diffusion layer and elucidate the mechanism of fluid state influence on the temperature distribution. Results show that the diffusion layer's thermal conductivity is closely related to its internal fluid state. The thermal conductivity of hydrogen-water vapor atomized flow in the anode diffusion layer is better than that of the separated flow composed of air-liquid water in the cathode diffusion layer. Therefore, the anode diffusion layer has obvious advantages over the cathode diffusion layer in terms of the equilibrium of temperature field evolution, continuity of isotherm distribution and utilization of heat transfer area. The research results can provide a theoretical basis for improving the thermal management level of hydrogen fuel cells.

, authors=Qingzhen GAO1, Daoyuan PAN1, Shengzhou HUANG1, 2, Yiyan WANG1, authorsList=Qingzhen GAO, Daoyuan PAN, Shengzhou HUANG, Yiyan WANG, authorCompany=null, correspAuthors=Qingzhen GAO, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1321485648402432504, articleId=1321485646498218486, tenantId=1146029695717560320, journalId=1146031654075715584, language=CN, title=氢燃料电池扩散层温度场演变研究, columnId=1149829992055595012, journalTitle=电源学报, columnName=新能源系统, runingTitle=null, highlight=null, articleAbstract=

为了研究氢燃料电池扩散层温度演变的规律,分析影响温度分布的因素,以阴、阳极扩散层及其内部流体作为研究对象,建立扩散层Z-Y剖面和X-Y剖面热质传递关联方法。考虑扩散层内流体Soret效应、Dufour效应、吸附效应和流固共轭传热效应,联合N-S方程、Brinkman-Darcy扩展模型、Langmuir吸附方程和界面捕捉Cahn-Hilliard理论,构建多孔介质内气-液两相流热质双扩散模型。通过Lattice Boltzmann方法进行数值求解,揭示扩散层温度演变规律,阐明流体状态对温度分布的影响机理。结果表明:扩散层的导热能力与其内部流体的状态密切相关,阳极扩散层内氢气-水汽构成的雾状流,比阴极扩散层内空气-液态水组成的分离流具有更好的导热性,使阳极扩散层在温度场演变的均衡性、等温线分布的连续性和传热面积的利用率等方面,比阴极扩散层具有明显优势。研究结果可为提升氢燃料电池热管理水平提供理论依据。

, authors=高清振1, 潘道远1, 黄胜洲1, 2, 王祎颜1, authorsList=高清振, 潘道远, 黄胜洲, 王祎颜, authorCompany=null, correspAuthors=高清振, authorNote=

潘道远(1982— ),男,博士,副教授。研究方向:新能源汽车设计。E-mail:。

黄胜洲(1985— ),男,博士,副教授。研究方向:智能算法优化。E-mail:。

王祎颜(2000— ),女,硕士,助教。研究方向:燃料电池建模。E-mail:。

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高清振(1978— ),男,通信作者,博士,高级工程师。研究方向:氢燃料电池设计。E-mail:。
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潘道远(1982— ),男,博士,副教授。研究方向:新能源汽车设计。E-mail:。

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黄胜洲(1985— ),男,博士,副教授。研究方向:智能算法优化。E-mail:。

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氢燃料电池扩散层温度场演变研究
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高清振 1 , 潘道远 1 , 黄胜洲 1, 2 , 王祎颜 1
电源学报 | 新能源系统 2025,23(5): 130-140
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电源学报 |新能源系统 2025 , 23 (5) : 130 -140
氢燃料电池扩散层温度场演变研究
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高清振1 , 潘道远1 , 黄胜洲1, 2 , 王祎颜1
作者信息
  • 1.安徽工程大学机械与汽车工程学院,芜湖 241000
  • 2.安徽华东光电技术研究所,芜湖 241002
通讯作者:
高清振(1978— ),男,通信作者,博士,高级工程师。研究方向:氢燃料电池设计。E-mail:。
作者简介:

潘道远(1982— ),男,博士,副教授。研究方向:新能源汽车设计。E-mail:。

黄胜洲(1985— ),男,博士,副教授。研究方向:智能算法优化。E-mail:。

王祎颜(2000— ),女,硕士,助教。研究方向:燃料电池建模。E-mail:。

Study on Temperature Field Evolution in Hydrogen Fuel Cell Diffusion Layer
Qingzhen GAO1 , Daoyuan PAN1 , Shengzhou HUANG1, 2 , Yiyan WANG1
Affiliations
  • 1.School of Mechanical and Automotive Engineering, Anhui Polytechnic University, Wuhu 241000, China
  • 2.Anhui East China Photoelectric Technology Research Institute, Wuhu 241002, China
出版时间: 2025-09-30 doi: 10.13234/j.issn.2095-2805.2025.5.130
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为了研究氢燃料电池扩散层温度演变的规律,分析影响温度分布的因素,以阴、阳极扩散层及其内部流体作为研究对象,建立扩散层Z-Y剖面和X-Y剖面热质传递关联方法。考虑扩散层内流体Soret效应、Dufour效应、吸附效应和流固共轭传热效应,联合N-S方程、Brinkman-Darcy扩展模型、Langmuir吸附方程和界面捕捉Cahn-Hilliard理论,构建多孔介质内气-液两相流热质双扩散模型。通过Lattice Boltzmann方法进行数值求解,揭示扩散层温度演变规律,阐明流体状态对温度分布的影响机理。结果表明:扩散层的导热能力与其内部流体的状态密切相关,阳极扩散层内氢气-水汽构成的雾状流,比阴极扩散层内空气-液态水组成的分离流具有更好的导热性,使阳极扩散层在温度场演变的均衡性、等温线分布的连续性和传热面积的利用率等方面,比阴极扩散层具有明显优势。研究结果可为提升氢燃料电池热管理水平提供理论依据。

多孔隙结构  /  气液两相流  /  热质双扩散  /  联合建模  /  格子玻尔兹曼方法  /  温度场演变

To study the temperature evolution law in the hydrogen fuel cell diffusion layer and analyze the factors affecting the temperature distribution, the cathode and anode diffusion layers and their internal fluid were taken as the research objects, and a correlation method for the heat and mass transfer between diffusion layer Z-Y profile and X-Y profile was established. Considering the fluid Soret effect, Dufour effect, adsorption effect and fluid-solid conjugate heat transfer effect in the diffusion layer, and combined with the N-S equation, Brinkman-Darcy extended model, Langmuir adsorption equation and interfacial capture Cahn-Hilliard theory, a heat and mass double-diffusion model of gas-liquid two-phase flow in porous media was constructed. The Lattice Boltzmann method was used for numerical solution to demonstrate the temperature evolution law in the diffusion layer and elucidate the mechanism of fluid state influence on the temperature distribution. Results show that the diffusion layer's thermal conductivity is closely related to its internal fluid state. The thermal conductivity of hydrogen-water vapor atomized flow in the anode diffusion layer is better than that of the separated flow composed of air-liquid water in the cathode diffusion layer. Therefore, the anode diffusion layer has obvious advantages over the cathode diffusion layer in terms of the equilibrium of temperature field evolution, continuity of isotherm distribution and utilization of heat transfer area. The research results can provide a theoretical basis for improving the thermal management level of hydrogen fuel cells.

Porous structure  /  gas-liquid two-phase flow  /  heat and mass double-diffusion  /  joint modeling  /  Lattice Boltzmann method  /  temperature field evolution
高清振, 潘道远, 黄胜洲, 王祎颜. 氢燃料电池扩散层温度场演变研究. 电源学报, 2025 , 23 (5) : 130 -140 . DOI: 10.13234/j.issn.2095-2805.2025.5.130
Qingzhen GAO, Daoyuan PAN, Shengzhou HUANG, Yiyan WANG. Study on Temperature Field Evolution in Hydrogen Fuel Cell Diffusion Layer[J]. Journal of Power Supply, 2025 , 23 (5) : 130 -140 . DOI: 10.13234/j.issn.2095-2805.2025.5.130
  • 安徽高校自然科学研究资助项目(KJ2021A0488)
  • 安徽省重点研究与开发资助项目(2022a05020008)
  • 中国博士后科学基金资助项目(2022M710175)
  • 安徽省自然科学基金资助项目(1808085ME128; 2008085QE258)
  • 电气传动与控制安徽省重点实验室开放基金资助项目(DQKJ202411)
  • 芜湖市科技计划资助项目(2024kj004)
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2025年第23卷第5期
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doi: 10.13234/j.issn.2095-2805.2025.5.130
  • 接收时间:2022-08-16
  • 首发时间:2026-10-26
  • 出版时间:2025-09-30
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  • 收稿日期:2022-08-16
  • 修回日期:2022-10-01
  • 录用日期:2022-10-11
基金
Natural Science Research Project of Anhui Universities(KJ2021A0488)
安徽高校自然科学研究资助项目(KJ2021A0488)
Key Research and Development Program of Anhui Province(2022a05020008)
安徽省重点研究与开发资助项目(2022a05020008)
China Postdoctoral Science Foundation(2022M710175)
中国博士后科学基金资助项目(2022M710175)
Natural Science Foundation of Anhui Province(1808085ME128; 2008085QE258)
安徽省自然科学基金资助项目(1808085ME128; 2008085QE258)
Opening Project of Key Laboratory of Electric Drive and Control of Anhui Province(DQKJ202411)
电气传动与控制安徽省重点实验室开放基金资助项目(DQKJ202411)
Wuhu Science and Technology Plan Project(2024kj004)
芜湖市科技计划资助项目(2024kj004)
作者信息
    1.安徽工程大学机械与汽车工程学院,芜湖 241000
    2.安徽华东光电技术研究所,芜湖 241002

通讯作者:

高清振(1978— ),男,通信作者,博士,高级工程师。研究方向:氢燃料电池设计。E-mail:。
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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