Article(id=1322622387040923804, tenantId=1146029695717560320, journalId=1189621681917173762, issueId=1322622385379983486, articleNumber=null, orderNo=null, doi=10.19620/j.cnki.1000-3703.20260504, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=1789574400000, revisedDateStr=2026-09-17, acceptedDate=null, acceptedDateStr=null, onlineDate=1793267350206, onlineDateStr=2026-10-29, pubDate=1792771200000, pubDateStr=2026-10-24, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793267350206, onlineIssueDateStr=2026-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793267350206, creator=13701087609, updateTime=1793267350206, updator=13701087609, issue=Issue{id=1322622385379983486, tenantId=1146029695717560320, journalId=1189621681917173762, year='2026', volume='', issue='10', pageStart='1', pageEnd='62', issueExtLink='null', onlineDate='null', pubDate='1792771200000', pubDateStr='2026-10-24', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1793267349810, creator='13701087609', updateTime=1793268459387, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1322627039367123647, tenantId=1146029695717560320, journalId=1189621681917173762, issueId=1322622385379983486, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1322627039367123648, tenantId=1146029695717560320, journalId=1189621681917173762, issueId=1322622385379983486, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=8, endPage=14, ext={EN=ArticleExt(id=1322622387208695965, articleId=1322622387040923804, tenantId=1146029695717560320, journalId=1189621681917173762, language=EN, title=Coupled Simulation and Validation of Control Strategy and Physical Model for Automotive Air Conditioning Thermal Management System, columnId=null, journalTitle=Automobile Technology, columnName=null, runingTitle=null, highlight=null, articleAbstract=

To address the issues of high modification cost and long development cycles associated with control strategy changes in the thermal management system of battery electric vehicle air conditioning, a collaborative modeling and coupled simulation study of physical mechanism models and control strategies is conducted based on the Modelica language. A high-fidelity white-box physical model is constructed, which covered key components: vehicle air conditioning, passenger cabin, and control strategies. Through a unified Modelica simulation architecture, a fully coupled closed-loop simulation is achieved, integrating thermal, fluid, and control domains. The model is validated using real vehicle test data under a winter heating and dehumidification condition. Results show that in the independent simulation, steady-state temperature errors of the physical system are within ±2 ℃. The responses of valve opening and compressor speed agreed with measured data. In the coupled simulation, the steady-state deviation of compressor speed is below 2%, and the discharge pressure deviation is less than 6%. The steady-state error of pipeline temperature is within 2 ℃. The transient response trend agreed well with the real vehicle data.

, authors=Han Tan, Yiqing Ge, Bing Yu, Yong Xiong, Bo Fan, authorsList=Han Tan, Yiqing Ge, Bing Yu, Yong Xiong, Bo Fan, authorCompany=null, correspAuthors=null, 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=1322622387410022558, articleId=1322622387040923804, tenantId=1146029695717560320, journalId=1189621681917173762, language=CN, title=汽车空调热管理系统控制策略与物理模型耦合仿真及验证, columnId=0, journalTitle=汽车技术, columnName=, runingTitle=null, highlight=null, articleAbstract=

针对纯电动汽车空调热管理系统策略变更成本高、周期长的问题，基于Modelica语言开展物理机理模型与控制策略的协同建模与耦合仿真研究。通过构建涵盖车用空调、乘员舱和控制策略等关键部分的高保真白盒物理模型，实现了热-流体-控制的全耦合闭环仿真，同时，以冬季采暖除湿工况为研究对象进行实车验证。试验结果表明：在独立仿真中，物理系统稳态温度误差控制在±2 ℃，阀体开度与压缩机转速响应数据与实测数据一致；在耦合仿真中，压缩机转速稳态偏差低于2%，排气压力偏差低于6%，管道温度稳态误差控制在2 ℃内，瞬态响应趋势与实车数据具有良好的一致性。

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