Heavy-duty vehicle emission characteristics based on the remote-monitoring three-bin moving-average window method
A three-bin moving average window (3B-MAW) model was proposed and compared with the work-based window method (WB-WM) to investigate the on-road emission characteristics of heavy-duty vehicles. The invalid data of remote monitoring were mainly composed of the NOx sensor’s abnormal data and the upload...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/75/e3sconf_apee2023_01003.pdf |
| _version_ | 1797634957440450560 |
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| author | Guo Dongdong Yu Quanshun Ren Shuojin Wang Tao Shao Pengfei Yang Jianglong Shi Fulu Li Tengteng Zhang Chao |
| author_facet | Guo Dongdong Yu Quanshun Ren Shuojin Wang Tao Shao Pengfei Yang Jianglong Shi Fulu Li Tengteng Zhang Chao |
| author_sort | Guo Dongdong |
| collection | DOAJ |
| description | A three-bin moving average window (3B-MAW) model was proposed and compared with the work-based window method (WB-WM) to investigate the on-road emission characteristics of heavy-duty vehicles. The invalid data of remote monitoring were mainly composed of the NOx sensor’s abnormal data and the uploaded data after the engine shutdown. In the 3B-MAW model, each data was attributed to one, two or three bins. The percentage of the three bins were linked to the vehicle’s real driving conditions. In order to gain the emission calculation accuracy and a smaller scale of required data, the value of the four main parameters, i.e., the minimum window number, the window width, the first cut-off and the second cut-off are set around 2 400 s, 300 s, 6% and 20%, respectively. Since the window power is no longer required, the 3B-MAW method is able to capture the low load emission characteristics more effectively, compared to the WB-WM. Therefore, the 3B-MAW method is a more appreciate approach to analyse on-road random driving conditions. |
| first_indexed | 2024-03-11T12:14:36Z |
| format | Article |
| id | doaj.art-4884690c21194bd5950728b1afc6cb7c |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-03-11T12:14:36Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-4884690c21194bd5950728b1afc6cb7c2023-11-07T10:19:50ZengEDP SciencesE3S Web of Conferences2267-12422023-01-014380100310.1051/e3sconf/202343801003e3sconf_apee2023_01003Heavy-duty vehicle emission characteristics based on the remote-monitoring three-bin moving-average window methodGuo Dongdong0Yu Quanshun1Ren Shuojin2Wang Tao3Shao Pengfei4Yang Jianglong5Shi Fulu6Li Tengteng7Zhang Chao8Beijing Vehicle Emissions Management CenterCATARC Automotive Test Center (Tianjin) Co., Ltd.CATARC Automotive Test Center (Tianjin) Co., Ltd.Beijing Vehicle Emissions Management CenterBeijing Vehicle Emissions Management CenterBeijing Vehicle Emissions Management CenterBeijing Vehicle Emissions Management CenterCATARC Automotive Test Center (Tianjin) Co., Ltd.CATARC Automotive Test Center (Tianjin) Co., Ltd.A three-bin moving average window (3B-MAW) model was proposed and compared with the work-based window method (WB-WM) to investigate the on-road emission characteristics of heavy-duty vehicles. The invalid data of remote monitoring were mainly composed of the NOx sensor’s abnormal data and the uploaded data after the engine shutdown. In the 3B-MAW model, each data was attributed to one, two or three bins. The percentage of the three bins were linked to the vehicle’s real driving conditions. In order to gain the emission calculation accuracy and a smaller scale of required data, the value of the four main parameters, i.e., the minimum window number, the window width, the first cut-off and the second cut-off are set around 2 400 s, 300 s, 6% and 20%, respectively. Since the window power is no longer required, the 3B-MAW method is able to capture the low load emission characteristics more effectively, compared to the WB-WM. Therefore, the 3B-MAW method is a more appreciate approach to analyse on-road random driving conditions.https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/75/e3sconf_apee2023_01003.pdfheavy-duty vehiclemoving averageremote monitoringwork-based window method |
| spellingShingle | Guo Dongdong Yu Quanshun Ren Shuojin Wang Tao Shao Pengfei Yang Jianglong Shi Fulu Li Tengteng Zhang Chao Heavy-duty vehicle emission characteristics based on the remote-monitoring three-bin moving-average window method E3S Web of Conferences heavy-duty vehicle moving average remote monitoring work-based window method |
| title | Heavy-duty vehicle emission characteristics based on the remote-monitoring three-bin moving-average window method |
| title_full | Heavy-duty vehicle emission characteristics based on the remote-monitoring three-bin moving-average window method |
| title_fullStr | Heavy-duty vehicle emission characteristics based on the remote-monitoring three-bin moving-average window method |
| title_full_unstemmed | Heavy-duty vehicle emission characteristics based on the remote-monitoring three-bin moving-average window method |
| title_short | Heavy-duty vehicle emission characteristics based on the remote-monitoring three-bin moving-average window method |
| title_sort | heavy duty vehicle emission characteristics based on the remote monitoring three bin moving average window method |
| topic | heavy-duty vehicle moving average remote monitoring work-based window method |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/75/e3sconf_apee2023_01003.pdf |
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