Article(id=1322560527004450845, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1322560475263513295, articleNumber=null, orderNo=null, doi=10.13234/j.issn.2095-2805.2026.9.214, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1731945600000, receivedDateStr=2024-11-19, revisedDate=1736438400000, revisedDateStr=2025-01-10, acceptedDate=1741536000000, acceptedDateStr=2025-03-10, onlineDate=1793252601623, onlineDateStr=2026-10-29, pubDate=1790697600000, pubDateStr=2026-09-30, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793252601623, onlineIssueDateStr=2026-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793252601623, creator=13701087609, updateTime=1793252601623, updator=13701087609, issue=Issue{id=1322560475263513295, tenantId=1146029695717560320, journalId=1146031654075715584, year='2026', volume='24', issue='9', pageStart='1', pageEnd='370', issueExtLink='null', onlineDate='null', pubDate='1790697600000', pubDateStr='2026-09-30', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793252589288, creator='13701087609', updateTime=1793252589288, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=214, endPage=223, ext={EN=ArticleExt(id=1322560527440658462, articleId=1322560527004450845, tenantId=1146029695717560320, journalId=1146031654075715584, language=EN, title=Research on Water and Thermal Management Strategy of PEMFC Stacks under the Mixed Driving Cycle Condition, columnId=1321491614980223555, journalTitle=Journal of Power Supply, columnName=Renewable Energy Generation and Energy Storage, runingTitle=null, highlight=null, articleAbstract=
Operating temperature and humidity are key factors affecting the performance and lifetime of proton exchange membrane fuel cell (PEMFC) stacks. Aiming at the shortcomings of low control accuracy and poor robustness in existing water and thermal management strategies, a water and thermal management strategy based on the twin-delayed deep deterministic policy gradient (TD3) is proposed. The strategy was based on a water and thermal management system model, which improved the traditional control framework of independent control of the water pump, the radiator, and the cathode humidifier, and achieved synchronous control of temperature and humidity. Taking the water and thermal management of a PEMFC stack with 375 cells as an example, the proposed strategy is compared with the water and thermal management strategy based on the deep deterministic policy gradient (DDPG) through simulation experiments under the mixed driving cycle condition. The maximum deviations of the inlet temperature of the stack and the temperature of the stack from the ideal temperature under the TD3-based strategy are reduced by 0.10 K and 0.07 K, respectively, compared with the maximum deviations under the DDPG-based strategy; the TD3-based strategy maintains the cathode inlet humidity between 25% and 62%, while the DDPG-based strategy maintains the cathode inlet humidity between 0 and 98%. The results show that, compared with the DDPG-based strategy, the proposed strategy performs better, effectively reducing the maximum temperature deviation and the range of humidity changes of the stack.
, authors=Yixing FAN, Guofu TIAN, Ziyao WU, authorsList=Yixing FAN, Guofu TIAN, Ziyao WU, authorCompany=null, correspAuthors=Ziyao WU, 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=1322560530183733281, articleId=1322560527004450845, tenantId=1146029695717560320, journalId=1146031654075715584, language=CN, title=混合驾驶循环工况下的燃料电池电堆水热管理策略研究, columnId=1321491615269630533, journalTitle=电源学报, columnName=新能源发电与储能, runingTitle=null, highlight=null, articleAbstract=
工作湿度和温度是影响质子交换膜燃料电池PEMFC(proton exchange membrane fuel cell)电堆性能和使用寿命的关键因素。针对现有水热管理策略存在控制精度低和鲁棒性差的缺点,提出一种基于双延迟深度确定性策略梯度TD3(twin-delayed deep deterministic policy gradient)的水热管理策略。该策略基于水热管理系统模型,对传统的泵、散热器和阴极加湿器独立控制的框架进行改进,实现了对温度和湿度的同步控制。以375片电池的PEMFC电堆的水热管理工作为例,将所提出的策略与基于深度确定性策略梯度DDPG(the deep deterministic policy gradient)的水热管理策略在混合驾驶循环工况下进行仿真实验对比。基于TD3策略下的电堆入口温度和电堆温度与理想温度的最大偏差比基于DDPG策略下的最大偏差分别减小了0.10 K和0.07 K;基于TD3策略下的电堆阴极入口湿度维持在25%~62%,而基于DDPG策略下的电堆阴极入口湿度维持在0~98%。结果表明,所提策略比基于DDPG的策略性能更好,能够有效减小电堆的温度最大偏差和湿度变化范围。
, authors=范一兴, 田国富, 吴子尧
中国电源学会会员, authorsList=范一兴, 田国富, 吴子尧
中国电源学会会员, authorCompany=null, correspAuthors=吴子尧
中国电源学会会员, authorNote=
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范一兴(1994— ),男,硕士研究生。研究方向:燃料电池水热管理系统控制策略。E-mail:fanyixing2022@163.com。
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范一兴(1994— ),男,硕士研究生。研究方向:燃料电池水热管理系统控制策略。E-mail:fanyixing2022@163.com。
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田国富(1968— ),男,博士,教授。研究方向:工程车辆及装备的设计与分析技术。E-mail:tianguofu@126.com。
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田国富(1968— ),男,博士,教授。研究方向:工程车辆及装备的设计与分析技术。E-mail:tianguofu@126.com。
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