Article(id=1242136202703348107, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242136177642381640, articleNumber=null, orderNo=17, doi=10.3981/j.issn.1000-7857.2017.14.011, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1475078400000, receivedDateStr=2016-09-29, revisedDate=1481558400000, revisedDateStr=2016-12-13, acceptedDate=null, acceptedDateStr=null, onlineDate=1501296569233, onlineDateStr=2017-07-29, pubDate=1501171200000, pubDateStr=2017-07-28, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1501296569233, onlineIssueDateStr=2017-07-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774077948495, creator=sys-migrate, updateTime=1774077948495, updator=sys-migrate, issue=Issue{id=1242136177642381640, tenantId=1146029695717560320, journalId=1146031591421210625, year='2017', volume='35', issue='14', pageStart='1', pageEnd='100', issueExtLink='null', onlineDate='null', pubDate='1501171200000', pubDateStr='2017-07-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774077942521, creator='sys-migrate', updateTime=1774077942521, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=85, endPage=88, ext={EN=ArticleExt(id=1242136206914429345, articleId=1242136202703348107, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Key topics and measures for perception, decision-making and control of intelligent electric vehicles, columnId=1242116080374710456, journalTitle=Science & Technology Review, columnName=Articles, runingTitle=null, highlight=null, articleAbstract=Intelligent electric vehicles have attracted a great attention in the international community. This paper reviews its trends and existing problems, focusing on the perception, the decision-making and the control. Feasible researches best suited for our country are pinpointed, together with the expected economic and social benefits., authors=LI Keqiang, authorsList=LI Keqiang, authorCompany=State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=fRVFxYVOV6xItu67hcDppQ==, pdfFileSize=916427, 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=1242136205941350806, articleId=1242136202703348107, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=智能电动汽车的感知、决策与控制关键基础问题及对策研究, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=电动化与智能化的融合是新一代汽车技术发展的前沿，因其所具有的环保、安全特性而在国际上引起极大关注。本文梳理总结了智能电动汽车的感知、决策与控制等方面的发展趋势和现有问题，指出智能电动汽车属于多学科交叉领域，集成难度高；其动力来源与传统汽车不同，这也带来了电池安全性、能量回收、动力学模型等基础问题。最后给出适合中国国情且清晰可行的研究对策，指出了该研究可带来的预期经济与社会效益。, authors=李克强, authorsList=李克强, authorCompany=清华大学汽车安全与节能国家重点实验室, 北京 100084, correspAuthors=null, authorNote=李克强,教授,研究方向为汽车智能化和电动化技术,电子信箱:likq@tsinghua.edu.cn, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=KF3fTiE5kQb3VzbHkG23ng==, pdfFileSize=916427, 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=国家重点研发计划重点专项（2016YFB0100900）)}, authors=null, keywords=[Keyword(id=1242136205429645711, tenantId=1146029695717560320, journalId=1146031591421210625, 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