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  • 标题:Remote supervision strategy based on in-use vehicle OBD data flow
  • 本地全文:下载
  • 作者:Tiantian Wang ; Junjie Liu ; Chuan Wan
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2021
  • 卷号:268
  • 页码:1-14
  • DOI:10.1051/e3sconf/202126801007
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:Test results from many researchers show that NOxemissions from parts of on-road heavy-duty diesels are higher than which been registered. Therefore, CN_VI emission regulations clearly proposes that the heavy-duty diesels should be supervised by a T-BOX which can transmit CAN message from vehicle OBD interface to the remote monitoring platform. Recognition of cheating behaver and calculation method of NOxemission were developed and verified by platform data from on-line vehicle. The modules in the platform can effectively monitor urea consumption rationality, injection system working state, exhaust temperature sensor signal reasonability, NOxsensor signal reasonability and NOxemission level, which can reduce the cost of supervision and governance, improve the effectiveness of regulation and provide basic data for policy making.
  • 关键词:OBD;remote monitoring;platform;diagnosis;emission
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