Article(id=1308463111967634299, tenantId=1146029695717560320, journalId=1189918454225211397, issueId=1308463111573369723, articleNumber=null, orderNo=null, doi=10.20104/j.cnki.1674-6546.20250147, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=1750003200000, revisedDateStr=2025-06-16, acceptedDate=null, acceptedDateStr=null, onlineDate=1789891515962, onlineDateStr=2026-09-20, pubDate=1771084800000, pubDateStr=2026-02-15, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1789891515962, onlineIssueDateStr=2026-09-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1789891515962, creator=13701087609, updateTime=1789891515962, updator=13701087609, issue=Issue{id=1308463111573369723, tenantId=1146029695717560320, journalId=1189918454225211397, year='2026', volume='', issue='2', pageStart='1', pageEnd='48', issueExtLink='null', onlineDate='null', pubDate='1771084800000', pubDateStr='2026-02-15', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1789891515868, creator='13701087609', updateTime=1789892789105, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1308468452159672942, tenantId=1146029695717560320, journalId=1189918454225211397, issueId=1308463111573369723, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1308468452159672943, tenantId=1146029695717560320, journalId=1189918454225211397, issueId=1308463111573369723, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=1, endPage=8, ext={EN=ArticleExt(id=1308463112198321021, articleId=1308463111967634299, tenantId=1146029695717560320, journalId=1189918454225211397, language=EN, title=Experimental Study on Parameter Optimization Mechanism and Performance Impact of Vehicle CO₂ Refrigeration System, columnId=1308463112135406460, journalTitle=Automotive Engineer, columnName=Selected Papers of China Annual Academic Conference on Automotive Thermal Systems 2025, runingTitle=null, highlight=null, articleAbstract=

To investigate the impact of different control strategies on the performance of vehicle CO₂ refrigeration systems, this study conducted bench tests to analyze the effects of supply air temperature requirements, indoor air volume, and ambient temperature on the cycle characteristics of a CO₂ refrigeration system with a heat recovery function under constant supply air temperature control. Simultaneously, the optimal discharge pressure fitting correlation based on the demand for supply air temperature was established. Research results indicate that among the operating conditions studied, ambient temperature has the most significant influence on optimal discharge pressure, followed by indoor air volume, while the impact of the supply air temperature is minimal. In addition, the evaporator outlet refrigerant temperature is positively correlated with the EER, with an average increase of approximately 2.6% in EER for every 1℃ rise in outlet temperature.. The correlation formula for optimal discharge pressure, derived from the requirements of supply air temperature, demonstrates a relatively high credibility, offering new insights for the optimization of control strategies.

, authors=Haixu Teng¹, Ming Li¹, Shaolong Chen², Xinyue Feng², Guoliang Liu³, Yan Li⁴, authorsList=Haixu Teng, Ming Li, Shaolong Chen, Xinyue Feng, Guoliang Liu, Yan Li, authorCompany=null, correspAuthors=Ming Li, 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=1308463112475145087, articleId=1308463111967634299, tenantId=1146029695717560320, journalId=1189918454225211397, language=CN, title=车用CO₂制冷系统参数优化机制及其性能影响的试验研究, columnId=1308463112273818494, journalTitle=汽车工程师, columnName=2025中国汽车热系统学术年会优秀论文（选登）, runingTitle=null, highlight=null, articleAbstract=

为探究不同控制策略对车用CO₂制冷系统性能的影响，通过台架试验分析了在定送风温度控制下，送风温度需求、室内风量和环境温度对带回热功能的CO₂制冷系统循环特性的影响。同时，构建了基于送风温度需求的最优排气压力拟合关联式。结果表明：在研究的工况范围内，环境温度对最优排气压力的影响最为显著，其次是室内风量，而送风温度的影响最小；蒸发器出口的制冷剂温度与制冷性能系数（EER）呈正相关关系，其出口温度每升高1℃，EER平均升高约2.6%；所建立的基于送风温度需求的最优排气压力拟合关联式具有较高的可信度，可为控制策略的优化提供参考。

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