Journal of Automotive Safety and Energy ›› 2023, Vol. 14 ›› Issue (3): 375-384.DOI: 10.3969/j.issn.1674-8484.2023.03.013
• Automotive Energy Efficiency and Environment Protection • Previous Articles Next Articles
REN Shuojin1(
), ZHANG Chao1, LI Gang2,*(
), LI Tengteng1, Yu Quanshun1, GUAN Min2, JI Zhe2, JING Xiaojun1
Received:2022-12-13
Revised:2023-02-12
Online:2023-06-30
Published:2023-06-30
Contact:
LI Gang
E-mail:renshuojin@163.com;ligang@vecc.org.cn
CLC Number:
REN Shuojin, ZHANG Chao, LI Gang, LI Tengteng, Yu Quanshun, GUAN Min, JI Zhe, JING Xiaojun. Heavy-duty vehicle emission characteristics based on the remote-monitoring three-bin moving-average window method[J]. Journal of Automotive Safety and Energy, 2023, 14(3): 375-384.
Add to citation manager EndNote|Ris|BibTeX
URL: https://www.journalase.com/EN/10.3969/j.issn.1674-8484.2023.03.013
| 名称 | 分类 | 最大总质量 / t | 体积排量 / L | 额定功率 / kW | MCO2 / [g·(kW·h)-1] | 数据量 / s |
|---|---|---|---|---|---|---|
| 货车1 | N2 | 4.5 | 2.29 | 96 | 670.2 | 258 196 |
| 货车2 | N3 | 18.0 | 4.58 | 162 | 583.9 | 222 072 |
| 货车3 | N3 | 31.0 | 9.50 | 289 | 609.1 | 739 538 |
| 牵引1 | N3 | 18.0 | 10.52 | 327 | 602.7 | 963 274 |
| 牵引2 | N3 | 25.0 | 12.90 | 426 | 552.0 | 784 589 |
| 客车1 | M3 | 16.0 | 7.80 | 235 | 696.4 | 204 990 |
| 名称 | 分类 | 最大总质量 / t | 体积排量 / L | 额定功率 / kW | MCO2 / [g·(kW·h)-1] | 数据量 / s |
|---|---|---|---|---|---|---|
| 货车1 | N2 | 4.5 | 2.29 | 96 | 670.2 | 258 196 |
| 货车2 | N3 | 18.0 | 4.58 | 162 | 583.9 | 222 072 |
| 货车3 | N3 | 31.0 | 9.50 | 289 | 609.1 | 739 538 |
| 牵引1 | N3 | 18.0 | 10.52 | 327 | 602.7 | 963 274 |
| 牵引2 | N3 | 25.0 | 12.90 | 426 | 552.0 | 784 589 |
| 客车1 | M3 | 16.0 | 7.80 | 235 | 696.4 | 204 990 |
| 样 车 | 有效数据量/s | WB-WM | 3B-MAW | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 窗口通过率/% | 平均排放 / [g·(kWh)-1] | 怠速区 | 低负荷区 | 中高负荷区 | |||||||
| 有效窗口 | 所有窗口 | 窗口数 | 排放/(g·h-1) | 窗口数 | 排放/[g·(kWh)-1] | 窗口数 | 排放/[g·(kWh)-1] | ||||
| 1 | 8 537 | 100 | 0.006 7 | 0.007 1 | 0 | — | 5 527 | 0.12 | 2 710 | 0.004 | |
| 2 | 6 429 | 100 | 0.229 6 | 0.189 1 | 396 | 0.47 | 2 646 | 0.77 | 3 087 | 0.130 | |
| 3 | 9 975 | 80 | 0.591 1 | 0.619 6 | 305 | 9.42 | 6 789 | 0.64 | 2 581 | 0.480 | |
| 4 | 8 588 | 100 | 0.030 1 | 0.453 7 | 2 821 | 29.02 | 2 665 | 0.09 | 2 802 | 0.007 | |
| 5 | 13 510 | 0 | 2.776 2 | 2.714 1 | 2 534 | 58.15 | 4 776 | 3.38 | 5 900 | 1.880 | |
| 样 车 | 有效数据量/s | WB-WM | 3B-MAW | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 窗口通过率/% | 平均排放 / [g·(kWh)-1] | 怠速区 | 低负荷区 | 中高负荷区 | |||||||
| 有效窗口 | 所有窗口 | 窗口数 | 排放/(g·h-1) | 窗口数 | 排放/[g·(kWh)-1] | 窗口数 | 排放/[g·(kWh)-1] | ||||
| 1 | 8 537 | 100 | 0.006 7 | 0.007 1 | 0 | — | 5 527 | 0.12 | 2 710 | 0.004 | |
| 2 | 6 429 | 100 | 0.229 6 | 0.189 1 | 396 | 0.47 | 2 646 | 0.77 | 3 087 | 0.130 | |
| 3 | 9 975 | 80 | 0.591 1 | 0.619 6 | 305 | 9.42 | 6 789 | 0.64 | 2 581 | 0.480 | |
| 4 | 8 588 | 100 | 0.030 1 | 0.453 7 | 2 821 | 29.02 | 2 665 | 0.09 | 2 802 | 0.007 | |
| 5 | 13 510 | 0 | 2.776 2 | 2.714 1 | 2 534 | 58.15 | 4 776 | 3.38 | 5 900 | 1.880 | |
| [1] | 生态环境部. 2022中国移动源环境管理年报[Z/OL]. (2022-12-07). https://www.mee.gov.cn/ywdt/xwfb/202212/t20221207_1007157.shtml. |
| Ministry of Ecology and Environment China. 2022 China mobile source environmental management annual report[Z/OL]. (2022-12-07). https://www.mee.gov.cn/ywdt/xwfb/202212/t20221207_1007157.shtml. (in Chinese) | |
| [2] | 生态环境部, 国家市场监督管理总局. GB 17691-2018重型柴油车污染物排放限值及测量方法(中国第六阶段)[S]. 北京: 中国环境出版集团, 2018. |
| Ministry of Ecology and Environment China, State Administration for Market Regulation of the P. R. C. GB 17691-2018 Limits and measurement methods for emissions from diesel fuelled heavy-duty vehicles (CHINA VI)[S]. Beijing: Standards Press of China. 2018. (in Chinese) | |
| [3] | 孙一龙, 郭勇, 王长园. 重型车OBDⅢ远程排放管理车载终端在线数据一致性研究[J]. 小型内燃机与车辆技术, 2019, 48(2): 1-6. |
| SUN Yilong, GUO Yong, WANG Changyuan. Research on data consistency of remote emission management vehicle terminals for heavy-duty vehicles[J]. Small Intern Combu Engine Vehi Tech, 2019, 48(2): 1-6. (in Chinese) | |
| [4] | 生态环境部. HJ1239-2021重型车排放远程监控技术规范[S]. 北京: 生态环境部, 2021. |
| Ministry of Ecology and Environment China. HJ1239-2021 Technical specification for emission remote supervision system of heavy-duty vehicles[S]. Beijing: Ministry of Ecology and Environment (China), 2021. (in Chinese) | |
| [5] | 李刚, 尹航, 吉喆, 等. 重型车排放远程监控技术规范制订思路及实施建议[J]. 环境工程技术学报, 2023, 13(2): 867-872. |
| LI Gang, YIN Hang, JI Zhe, et al. Formulation ideas and implementation suggestions on technical specification for emission remote supervision system of heavy-duty vehicles[J]. J Environ Engi Tech, 2023, 13(2): 867-872. (in Chinese) | |
| [6] | 赵成磊. 柴油发动机排放现状及远程在线监控探索[J]. 内燃机与配件, 2021(13): 200-201. |
| ZHAO Chenglei. Diesel engine current status of emissions and exploration of remote online monitoring[J]. Intern Combu Engine Parts, 2021(13): 200-201. (in Chinese) | |
| [7] | 程晓章, 王浩, 邢晓通, 等. 基于OBD远程监测数据的高排放柴油车筛选方法研究[J]. 合肥工业大学学报(自然科学版), 2022, 45(7): 894-900. |
| CHENG Xiaozhang, WANG Hao, XING Xiaotong, et al. Research on screening method of high-emission diesel vehicles based on OBD remote monitoring data[J]. J Hefei Univ Tech (Nat Sci), 2022, 45(7): 894-900. (in Chinese) | |
| [8] | 徐为标, 黄成, 任洪娟, 等. 基于远程在线监控车载终端的柴油车NOx排放等级诊断研究[J]. 环境科学学报, 2021, 41(6): 2329-2339. |
| XU Weibiao, HUANG Cheng, REN Hongjuan, et al. Diagnosis of NOx emission level of diesel vehicles based on remote online monitoring terminal[J]. Acta Sci Circums, 2021, 41(6): 2329-2339. (in Chinese) | |
| [9] | 张新宇, 蒋茂玎, 吴磊, 等. 基于远程监控大数据处理的柴油机SCR系统研究[J]. 内燃机, 2021(6): 10-14. |
| ZHANG Xinyu, JIANG Maoding, WU Lei, et al. Research on diesel engine SCR system based on remote monitoring big data processing[J]. Intern Combu Engi, 2021(6): 10-14. (in Chinese) | |
| [10] | 吕立群, 尹航, 王军方, 等. 基于功基窗口法的国六重型柴油车实际道路排放研究[J]. 中国环境科学, 2021, 41(8): 3539-3545. |
| LÜ Liqun, YIN Hang, WANG Junfang. et al. Research on real driving emissions from China-VI heavy-duty diesel vehicles based on work-based window method[J]. Chin Enviro Sci, 2021, 41(8): 3539-3545. | |
| [11] |
Mendoza-Villafuerte P, Suarez-Bertoa R, Giechaskiel B, et al. NOx, NH3, N2O and PN real driving emissions from a Euro VI heavy-duty vehicl: Impact of regulatory on-road test conditions on emissions[J]. Sci Total Environ, 2017, 609: 546-555.
doi: 10.1016/j.scitotenv.2017.07.168 URL |
| [12] | ZHANG Xiaowen, LI Jingyuan, LIU Haoye, et al. A fuel-consumption based window method for PEMS NOx emission calculation of heavy-duty diesel vehicles: Method description and case demonstration[J]. J Environ Manag, 2023, 325: Paper No 116446. |
| [13] | Sharp C. Low NOx demonstration program: Stage 2[R]. San Antonio: SwRI, Project Number 03.22496, 2020. |
| [14] | California Air Resources Board. Proposed 3 bin Moving Average Window (MAW) method for chassis certified Medium Duty Vehicles (MDVs)[BS/OL]. (2021-05-01). https://ww2.arb.ca.gov/sites/default/files/2021-05/moving_average_window_method_mdv_ac.pdf. |
| [15] | Sadek G. Investigating NOx vs CO2 Tradeoff in Heavy Duty Emissions Through the Years Under the Scope of CARB’s 3-Bin Moving Average Window Method[D]. USA, Morgantown: West Virginia Univeristy, 2021. |
| [16] | California Air Resources Board. Initial statement of reason: Public hearing to consider the proposed heavy-duty engine and vehicle omnibus regulation and associated amendments[BS/OL]. Sacramento, (2020-06-23). https://ww2.arb.ca.gov/sites/default/files/barcu/regact/2020/hdomnibuslownox/isor.pdf. |
| [1] | XU Ting, CHEN Shuyi, PENG Chong, CHEN Yixin, LIANG Zekai, ZHAO Lei. Parameter relationship between exhaust emissions and driving behaviors for commercial heavy-duty vehicles [J]. Journal of Automotive Safety and Energy, 2023, 14(3): 365-374. |
| [2] | JING Xiaojun, REN Shuojin, WANG Xiaowei, LI Tengteng, FANG Maodong. Basic ideas and development trend of heavy-duty vehicle emission regulations in next stage [J]. Journal of Automotive Safety and Energy, 2023, 14(2): 133-156. |
| [3] | REN Shuojin, TONG Chang, LI Gang, ZHANG Chao, LI Tengteng, LIU Dong, ZHANG Peng, LIU Zhiwei, GUAN Min. A comparison study between heavy-duty remote monitoring and on-road experimental data [J]. Journal of Automotive Safety and Energy, 2023, 14(2): 239-248. |
| [4] | ZHANG Fan, LI Liang, YU Jintao. Comparative test of influence of load conditions on specific emissions of heavy-duty vehicles with different calculation methods [J]. Journal of Automotive Safety and Energy, 2022, 13(2): 397-405. |
| [5] | JIANG Haobin, XU Zhe, TANG Bin, GENG Guoqing. Energy-saving electronically controlled hydraulic steering system for heavy-duty vehicles based on electromagnetic clutch [J]. Journal Of Automotive Safety And Energy, 2014, 5(02): 201-208. |
| Viewed | ||||||
|
Full text |
|
|||||
|
Abstract |
|
|||||