中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Analysis of excessive NOx emission from tampered heavy-duty vehicles based on real-time data and its impact on air pollution

文献类型:期刊论文

作者Li, Yong1,4,6; Wang, Huanqin1,6; Fu, Mengqi3,4; Wang, Jing2; Yang, Yanyan5; Gui, Huaqiao1,6
刊名ATMOSPHERIC POLLUTION RESEARCH
出版日期2024-10-01
卷号15
关键词NOx emission Tampered vehicle identification Emission calculation
ISSN号1309-1042
DOI10.1016/j.apr.2024.102240
通讯作者Gui, Huaqiao(hqgui@aiofm.ac.cn)
英文摘要Vehicle tampering leads to substantial excessive emissions, but few methods could identify the tampered ones from vehicles on road accurately in one day or less. A fast response model based on real time data from terminal box (T-BOX) was built in this study for heavy-duty vehicle tampering identification, which could identify the tampered vehicles from vehicles with excessive emission caused by bad driving conditions, low ambient temperature or on-board diagnostic (OBD) faults. By analyzing the existing means of tampering in the last decade, the vehicle tampering identification model was established according to the data characteristics of tampered vehicles. Two main modules based on emission and emission factors were built and three corrections were added in the model to avoid disturbances led to misjudge. In our research, 66 heavy-duty vehicles from the big data platform were used to screen for vehicle tampering. It was found that 15 vehicles existed excessive emissions, and 2 vehicles were tampered. Tampered vehicles only account for 3% of the sample, but emitted 1.4 times nitrogen oxides (NOx) of total emission of other vehicles. The model solved the problem that the traditional model could not identify the vehicle tampering accurately. It could be used in emission accounting and management of tampered vehicles for government.
资助项目National Key Research and Development Program of China[2023YFC3705400] ; Natural Science Foundation of Anhui Province[2208085MF162] ; Anhui Major Provincial Science Technology Project[202203a07020004] ; National Natural Science Foundation of China[U2133212] ; Plan for Tianjin Major Provincial Science Technology Project[22YFFYSHZ00260]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:001270515300001
出版者TURKISH NATL COMMITTEE AIR POLLUTION RES & CONTROL-TUNCAP
资助机构National Key Research and Development Program of China ; Natural Science Foundation of Anhui Province ; Anhui Major Provincial Science Technology Project ; National Natural Science Foundation of China ; Plan for Tianjin Major Provincial Science Technology Project
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/137104]  
专题中国科学院合肥物质科学研究院
通讯作者Gui, Huaqiao
作者单位1.Chinese Acad Sci, Hefei Inst Phys Sci, Hefei 230031, Peoples R China
2.Catarc Automot Informat Co Ltd, Tianjin 300300, Peoples R China
3.Tianjin Univ Technol, Sch Environm Sci & Safety Engn, Tianjin 300384, Peoples R China
4.China Automot Technol & Res Ctr Co Ltd, Tianjin 300300, Peoples R China
5.Beijing Municipal Ecol & Environm Monitoring Ctr, Beijing 100048, Peoples R China
6.Univ Sci & Technol China, Hefei 230026, Peoples R China
推荐引用方式
GB/T 7714
Li, Yong,Wang, Huanqin,Fu, Mengqi,et al. Analysis of excessive NOx emission from tampered heavy-duty vehicles based on real-time data and its impact on air pollution[J]. ATMOSPHERIC POLLUTION RESEARCH,2024,15.
APA Li, Yong,Wang, Huanqin,Fu, Mengqi,Wang, Jing,Yang, Yanyan,&Gui, Huaqiao.(2024).Analysis of excessive NOx emission from tampered heavy-duty vehicles based on real-time data and its impact on air pollution.ATMOSPHERIC POLLUTION RESEARCH,15.
MLA Li, Yong,et al."Analysis of excessive NOx emission from tampered heavy-duty vehicles based on real-time data and its impact on air pollution".ATMOSPHERIC POLLUTION RESEARCH 15(2024).

入库方式: OAI收割

来源:合肥物质科学研究院

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