Article(id=1308462990680945313, tenantId=1146029695717560320, journalId=1189918454225211397, issueId=1308462989946934053, articleNumber=null, orderNo=null, doi=10.20104/j.cnki.1674-6546.20250232, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=1760198400000, revisedDateStr=2025-10-12, acceptedDate=null, acceptedDateStr=null, onlineDate=1789891487044, onlineDateStr=2026-09-20, pubDate=1781452800000, pubDateStr=2026-06-15, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1789891487044, onlineIssueDateStr=2026-09-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1789891487044, creator=13701087609, updateTime=1789891487044, updator=13701087609, issue=Issue{id=1308462989946934053, tenantId=1146029695717560320, journalId=1189918454225211397, year='2026', volume='', issue='6', pageStart='1', pageEnd='48', issueExtLink='null', onlineDate='null', pubDate='1781452800000', pubDateStr='2026-06-15', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1789891486870, creator='13701087609', updateTime=1789892888486, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1308468868809248787, tenantId=1146029695717560320, journalId=1189918454225211397, issueId=1308462989946934053, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1308468868809248788, tenantId=1146029695717560320, journalId=1189918454225211397, issueId=1308462989946934053, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=43, endPage=48, ext={EN=ArticleExt(id=1308462990848717474, articleId=1308462990680945313, tenantId=1146029695717560320, journalId=1189918454225211397, language=EN, title=The Impact and Control of Mode Switching in Hybrid Vehicles, columnId=null, journalTitle=Automotive Engineer, columnName=null, runingTitle=null, highlight=null, articleAbstract=
To investigate the jerk issue caused by mode transitions in hybrid electric vehicles under different clutch control and energy management strategies, a typical P2+Dual-Clutch Transmission (DCT) architecture is selected as the research object. A clutch fuzzy control strategy and an active mode transition optimization control strategy are designed based on the MATLAB/Simulink and AVL Cruise M co-simulation platform. The results indicate that the vehicle model utilizing the clutch fuzzy control strategy achieves superior driving smoothness while maintaining excellent dynamic performance. Furthermore, the active mode transition optimization strategy reduces the mode switching frequency by 25.66%, with only a marginal 0.97% increase in equivalent fuel consumption compared to the conventional rule-based energy management strategy. This approach successfully balances driving smoothness and fuel economy while meeting the dynamic performance requirements.
, authors=Qiong Guo
1, Yuming Peng
1, 2, Fan Chen
1, authorsList=Qiong Guo, Yuming Peng, Fan Chen, authorCompany=null, correspAuthors=Yuming Peng, 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=1308462991108764323, articleId=1308462990680945313, tenantId=1146029695717560320, journalId=1189918454225211397, language=CN, title=混合动力汽车模式切换的冲击影响与控制, columnId=0, journalTitle=汽车工程师, columnName=, runingTitle=null, highlight=null, articleAbstract=
为探究离合器控制策略和能量管理策略对混合动力汽车行驶过程中模式切换造成的冲击问题,选取典型的P2+双离合器变速器(DCT)构型作为研究对象,通过MATLAB/Simulink和AVL Cruise M联合仿真平台设计了离合器模糊控制策略和模式切换主动优化控制策略,研究结果表明:采用离合器模糊控制策略的整车模型在保证良好的动力性的同时,能够实现更佳的驾驶平顺性;模式切换主动优化控制策略在将模式切换次数降低25.66%的情况下,等效燃油消耗量仅比基于规则的能量管理策略轻微增加0.97%,在满足动力性需求的前提下兼顾了平顺性和经济性。
, authors=郭琼
1, 彭宇明
1, 2, 谌帆
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