Article(id=1242120413656973806, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1242120303908815076, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1267632000000, receivedDateStr=2010-03-04, revisedDate=1280937600000, revisedDateStr=2010-08-05, acceptedDate=null, acceptedDateStr=null, onlineDate=1278950400000, onlineDateStr=2010-07-13, pubDate=1278950400000, pubDateStr=2010-07-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1278950400000, onlineIssueDateStr=2010-07-13, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1774074184093, creator=sys-migrate, updateTime=1774074184093, updator=sys-migrate, issue=Issue{id=1242120303908815076, tenantId=1146029695717560320, journalId=1146031591421210625, year='2010', volume='28', issue='15', pageStart='3', pageEnd='140', issueExtLink='null', onlineDate='null', pubDate='1278950400000', pubDateStr='2010-07-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=3, issueType=-1, specialIssue=null, createTime=1774074157929, creator='sys-migrate', updateTime=1774074157929, updator='sys-migrate', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=83, endPage=87, ext={EN=ArticleExt(id=1242120417234719305, articleId=1242120413656973806, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Modeling and Simulation of the Driving System Based on Fuzzy PI Control in Electric Vehicles, columnId=1242116080374710456, journalTitle=Science & Technology Review, columnName=Articles, runingTitle=null, highlight=null, articleAbstract=Automobile industry has to face problems such as energy shortages, environmental pollution and global warming, along with its contributions in economic development and improvement of people's living standard. The electric vehicle is the most effective way to solve problems related with energy and environmental pollution. The performance of an electric vehicle is closely related with the driving system to be operated on various driving conditions. This paper combines the balance equation for the vehicle movement with the equation of motor mechanical properties to establish a mathematical model of the driving system of Electric Vehicle (EV). Fuzzy PI control strategy is used in the model for the optimal control and the model is simulated by the software Simulink. Simulation results show that the mathematical model of the driving system of the electric vehicle can represent the vehicle running states accurately. Fuzzy PI control strategy optimizes the control of the driving system and improves the performance of the simulation in tracing the speed. The simulation model is very robust and applicable to simulate the driving system of electric vehicles., authors=null, authorsList=null, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=Zhao Xuan, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=pEjO+cwxhDW9MFE+eOyHkw==, pdfFileSize=1099993, 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=1242120416093868594, articleId=1242120413656973806, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=基于模糊PI控制的纯电动汽车驱动系统建模和仿真, columnId=1146540929516700224, journalTitle=科技导报, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=汽车工业在推动经济发展，提高人民生活水平的同时，也带来了能源短缺、环境污染和气候变暖等问题。电动汽车作为新能源汽车，是解决能源危机和环境污染问题最有效的途径。电动汽车的性能与驱动系统密切相关，研制和开发适合电动汽车各种行驶工况的驱动系统已成为电动汽车领域研究的重要内容。本文结合汽车行驶平衡方程和电机机械特性方程建立了纯电动汽车（EV）驱动系统的数学模型，采用模糊PI控制策略对模型进行优化控制，并在Simulink环境下对模型进行仿真验证。仿真结果表明，该纯电动汽车驱动系统的数学模型，能够真实准确地反映车辆的运行状态，采用模糊PI控制策略能够较好地对驱动系统进行优化控制，使得仿真车速对需求车速具有良好的跟随性。该模型具有较强的鲁棒性，适用于纯电动汽车驱动系统的仿真。, authors=^{赵 轩1，马 建1，汪贵平2，史 骏2}, authorsList=赵 轩;马 建;汪贵平;史 骏, authorCompany=1. 长安大学汽车学院，西安 7100642. 长安大学电子与控制工程学院，西安 710064, correspAuthors=null, authorNote=null, correspAuthorsNote=赵轩, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=ZYnu3LvHjpC02hhlpvfO1Q==, pdfFileSize=1099993, 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)}, authors=null, 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