Article(id=1309639273154970449, tenantId=1146029695717560320, journalId=1189645257101713411, issueId=1309639270319616416, articleNumber=null, orderNo=null, doi=10.19822/j.cnki.1671-6329.20240144, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1790171934641, onlineDateStr=2026-09-23, pubDate=1775318400000, pubDateStr=2026-04-05, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1790171934641, onlineIssueDateStr=2026-09-23, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1790171934641, creator=13701087609, updateTime=1790171934641, updator=13701087609, issue=Issue{id=1309639270319616416, tenantId=1146029695717560320, journalId=1189645257101713411, year='2026', volume='', issue='4', pageStart='1', pageEnd='62', issueExtLink='null', onlineDate='null', pubDate='1775318400000', pubDateStr='2026-04-05', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1790171933965, creator='13701087609', updateTime=1790233801014, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1309898759593623948, tenantId=1146029695717560320, journalId=1189645257101713411, issueId=1309639270319616416, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1309898759593623949, tenantId=1146029695717560320, journalId=1189645257101713411, issueId=1309639270319616416, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=23, endPage=31, ext={EN=ArticleExt(id=1309639273352102738, articleId=1309639273154970449, tenantId=1146029695717560320, journalId=1189645257101713411, language=EN, title=Design of a Remote Information Collection System for Pure Electric Vehicle Safety, columnId=null, journalTitle=Automotive Digest, columnName=null, runingTitle=null, highlight=null, articleAbstract=

To optimize the performance of pure electric vehicles, ensure operational safety, and meet the intelligent development needs of new energy vehicles, this study combines electric vehicle performance evaluation indicators to determine key acquisition parameters such as battery voltage, current, State of Charge (SOC), motor speed, and temperature. By integrating vehicle CAN bus technology and GPRS wireless communication technology, a remote on-board information acquisition system with DSP2407 as the core processor is designed. This system can efficiently process and monitor the operational data of the vehicle's electronic control unit in real time. The acquired data can provide a quantitative basis for the assessment and evaluation of the electronic control unit, and offer precise data support for refining the overall vehicle control strategy. The integrated application of Internet of Vehicles technology and big data enables the system to have remote data transmission and analysis capabilities, filling the gaps in real-time performance and remote capabilities of traditional acquisition systems. This provides reliable hardware and data support for the technological upgrading of new energy smart vehicles.

, authors=Chengxi Wu^{1, 2, 3}, Chaojie Zhang^{1, 2, 3}, Xue Deng^{1, 2, 3}, authorsList=Chengxi Wu, Chaojie Zhang, Xue Deng, 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=1309639273591178067, articleId=1309639273154970449, tenantId=1146029695717560320, journalId=1189645257101713411, language=CN, title=面向纯电动汽车安全的车载信息远程采集系统设计, columnId=0, journalTitle=汽车文摘, columnName=, runingTitle=null, highlight=null, articleAbstract=

为优化纯电动汽车性能、保障运行安全，满足新能源汽车智能化发展需求，结合电动汽车性能评价指标确定电池电压、电流、荷电状态（SOC）、电机转速及温度等关键采集参数，综合车用CAN总线技术与GPRS无线通信技术，设计了以DSP2407为核心处理器的车载信息远程采集系统。该系统可实现对车辆电控单元运行数据的高效处理与实时监控，所采集数据能为电控单元考核评估提供量化依据，为完善整车控制策略提供精准数据支撑。车联网技术与大数据的融合应用，使系统具备远程数据传输与分析能力，填补了传统采集系统在实时性与远程化方面的不足，为新能源智能汽车的技术升级提供了可靠的硬件与数据支持。

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