A comparison study between heavy-duty remote monitoring and on-road experimental data

doi:10.3969/j.issn.1674-8484.2023.02.011

Abstract

Abstract:

In order to study the difference between the remote monitoring data of heavy-duty vehicles and the actual road test data, this paper studies the consistency of the data received by the remote monitoring platform and the measurement data from the portable emission measurement system (PEMS) by fitting the results of two vehicles and analyzing the statistical results of 100 vehicles. The results show that the measured or calculated results from the PEMS equipment can be applied to the consistency verification of the remote monitoring data of heavy-duty vehicles; The consistency of the speed data is acceptable, followed by the consistency results of the fuel flow rate and the intake flow; For NO_x emissions, the data consistency requirements should be more flexible. The remote monitoring data can reflect the actual operating conditions of vehicles on the road. The work-based windows from the remote monitoring data and the PEMS test data are basically the same. However, the accuracy error of NO_x sensors may lead to a large deviation of the work-based window method calculation results between the remote monitoring and the PEMS measurement.

Key words: heavy-duty vehicle, portable emission measurement system (PEMS), remote monitoring, work-based window, data consistency

CLC Number:

X831

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.

Figures/Tables 14

References 13

[1]	生态环境部. 2021中国移动源环境管理年报[R]. 北京:生态环境部, 2021.
	Ministry of Ecology and Environment of the P R C. 2021 China mobile source environmental management annual report[R]. Beijing: Ministry of Ecology and Environment of the P R C, 2021. (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6阶段)[S]. 北京: 中国环境出版集团, 2018.
	Ministry of Ecology and Environment of the P R C, 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]	北京市环境保护局, 北京市质量技术监督局. DB11/1475-2017. 重型汽车排气污染物排放限值及测量方法(OBD法第Ⅳ、Ⅴ阶段)[S]. 北京: 北京市环境保护局, 2017.
	Beijing Municipal Ecology and Environment Bureau, Beijing Municipal Quality and Technical Supervision Bureau.DB11/1475-2017. Limits and measurement method of emissions from heavy-duty vehicle (OBD method phase IV and V)[S]. Beijing: Beijing Municipal Ecology and Environment Bureau, 2017. (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 of the P R C. HJ1239-2021. Technical specification for emission remote supervision system of heavy-duty vehicles[S]. Beijing: Ministry of Ecology and Environment of the P R C, 2021. (in Chinese)
[5]	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 Inte Combust Engi Vehi Tech, 2019, 48(2): 1-6. (in Chinese)
[6]	熊兴旺, 杨妍妍, 甄凯, 等. 一种重型车监控平台与OBD数据延时修正方法[J]. 车用发动机, 2021, 2: 82-87.
	XIONG Xingwang, YANG Yanyan, ZHEN Kai, et al. A time-delay correction method for the monitoring platform and OBD data of heavy trucks[J]. Vehi Engi, 2021, 2: 82-87. (in Chinese)
[7]	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]. Inte Combust Engi, 2021(6): 10-14. (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NO_x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 NO_x emission level of diesel vehicles based on remote online monitoring terminal[J]. Acta Scientiae Circumstantiae, 2021, 41(6): 2329-2339. (in Chinese)
[9]	王佐硕, 邹杰, 王梓, 等. 电流型氮氧化物传感器输出特性分析及控制策略的优化[J]. 传感技术学报, 2022, 35(4): 454-460.
	WNAG Zuoshuo, ZOU Jie, WANG Zi, et al. Output characteristic analysis and control strategy optimization of yttria-stabilized zirconia solid-sate electrolyte based amperometric nitrogen oxide senor[J]. Chin J Sens Actu, 2022, 35(4): 454-460. (in Chinese)
[10]	FUNK S. Real world NO_x sensor accuracy assessment and implications for real NO_x tracking[J]. SAE Inte’l J Adv Curr Pract Mobi, 2021(3): 2761-2769.
[11]	国家市场监督管理总局, 国家标准化管理委员会.GB⁄T 27840-2021. 重型商用车燃油消耗量测量方法[S]. 北京: 中国标准出版社, 2021.
	State Administration for Market Regulation of the P R C, Standardization Administration of the P R C. GB⁄T 27840-2021. Fuel consumption test methods for heavy-duty commercial vehicles[S]. Beijing: Standards Press of China, 2021. (in Chinese)
[12]	Mendoza-Villafuerte P, Suarez-Bertoa R, GIechaskiel B, et al. NO_x、NH₃、N₂O and PN real driving emissions from a Euro VI heavy-duty vehicle. 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
[13]	吴晋, 姜富彬, 陈嫚. 一种氮氧传感器测量值合理性评价方法: 中国, CN 202011153112.2[P]. 2021.
	WU Jin, JIANG Fubin, CHEN Man. A method for evaluating the rationality of the measured value of nitrogen-oxygen sensors: China, CN 202011153112.2[P]. 2021. (in Chinese)

参数	样车1	样车2
车辆类型	N3	N3
最大设计总质量 / t	24.9	25.0
发动机排量/ L	13.02	15.33
发动机额定功率/ kW	444	485
额定功率对应转速/ (r·min^-1)	1 800	1 800

参数	样车1	样车2
车辆类型	N3	N3
最大设计总质量 / t	24.9	25.0
发动机排量/ L	13.02	15.33
发动机额定功率/ kW	444	485
额定功率对应转速/ (r·min^-1)	1 800	1 800

测量量	测量范围	最大允许误差
NO_x体积浓度	0~3×10^-3	(±0.3)%量程或(±2%)测量值（取较大）
CO₂体积浓度	0~20 %	(±0.3)%量程或(±2%)测量值（取较大）
排气流量	0~45 m³/min	(±0.5)%量程或(±2%)测量值（取较大）

测量量	测量范围	最大允许误差
NO_x体积浓度	0~3×10^-3	(±0.3)%量程或(±2%)测量值（取较大）
CO₂体积浓度	0~20 %	(±0.3)%量程或(±2%)测量值（取较大）
排气流量	0~45 m³/min	(±0.5)%量程或(±2%)测量值（取较大）

项目	车辆1			车辆2
项目	a_platf	a_real	相对误差 / %	a_platf	a_real	相对误差/ %
总里程 / km	124.2	122.5	1.4	132.4	131.1	1.0
累计功 / kWh	183.2	183.1	0.0	185.3	185.2	0.0
总窗口数	5 946	5 946	0.0	6 481	6 480	0.0
有效窗口数	4 382	4 406	0.5	4 233	4 220	0.3
有效窗口NO_x平均比排放/ [mg·(kWh)^-1]	238.1	50.5	371.5	1.1	49.4	97.8
有效窗口NO_x 90%分位比排放/ [mg·(kWh)^-1]	282.6	61.6	358.7	8.4	91.0	90.8