Real-world fuel consumption of light-duty passenger vehicles using on-board diagnostic (OBD) systems
Xuan Zheng, Sheng Lu, Liuhanzi Yang, Min Yan, Guangyi Xu, Xiaomeng Wu, Lixin Fu, Ye Wu
Real-world fuel consumption of light-duty passenger vehicles using on-board diagnostic (OBD) systems
• Fuel consumption (FC) from LDPVs is measured using on-board diagnostic method (OBD).
• The FC of the OBD is 7.1% lower than that of the carbon balance results.
• The discrepancy between the approved FC and real-world FC is 13%±18%.
• There is a strong relationship (R2=0.984) between the average speed and relative FC.
An increasing discrepancy between real-world and type-approval fuel consumption for light-duty passenger vehicles (LDPVs) has been reported by several studies. Normally, real-world fuel consumption is measured primarily by a portable emission measurement system. The on-board diagnostic (OBD) approach, which is flexible and offers high-resolution data collection, is a promising fuel consumption monitoring method. Three LDPVs were tested with a laboratory dynamometer based on a type-approval cycle, the New European Driving Cycle (NEDC). Fuel consumption was measured by the OBD and constant-volume sampling system (CVS, a regulatory method) to verify the accuracy of the OBD values. The results of the OBD method and the regulatory carbon balance method exhibited a strong linear correlation (e.g., R2 = 0.906-0.977). Compared with the carbon balance results, the fuel consumption results using the OBD were 7.1%±4.3% lower on average. Furthermore, the real-world fuel consumption of six LDPVs was tested in Beijing using the OBD. The results showed that the normalized NEDC real-world fuel consumption of the tested vehicles was 13%±17% higher than the type-approval-based fuel consumption. Because the OBD values are lower than the actual fuel consumption, using a carbon balance method may result in a larger discrepancy between real-word and type-approval fuel consumption. By means of the operating mode binning and micro trip methods, a strong relationship (R2 = 0.984) was established between the average speed and relative fuel consumption. For congested roads (average vehicle speed less than 25 km/h), the fuel consumption of LDPVs is highly sensitive to changes in average speed.
Fuel consumption / Light-duty passenger vehicles / On-board diagnostic systems
[1] |
Baek S, Jang J W (2015). Implementation of integrated OBD-II connector with external network. Information Systems, 50: 69–75
CrossRef
Google scholar
|
[2] |
Bielaczyc P, Woodburn J, Szczotka A (2015). A comparison of carbon dioxide exhaust emissions and fuel consumption for vehicles tested over the NEDC, FTP-75 and WLTC chassis dynamometer test cycles. SAE Technical Paper, No. 2015–01–1065. Michigan, USA: Society of Automobile Engineers
|
[3] |
CPEA (China Petroleum Enterprise Association) (2019). Blue Book of Analysis and Prospect of China’s Oil and Gas Industry Development (2018–2019). Beijing: China Petrochemical Press (in Chinese)
|
[4] |
DeFries T H, Sabisch M, Kishan S, Posada F, German J, Bandivadekar A (2014). In-use fuel economy and CO2 emissions measurement using OBD data on US light-duty vehicles. SAE International Journal of Engines, 7(3): 1382–1396
CrossRef
Google scholar
|
[5] |
Farrugia M, Azzopardi J P, Xuereb E, Caruana C, Farrugia M (2016). The usefulness of diesel vehicle onboard diagnostics (OBD) information. In: 17th International Conference on Mechatronics-Mechatronika (ME). Brno, Czech Republic: IEEE, 1–5
|
[6] |
Fontaras G, Kouridis H, Samaras Z, Elst D, Gense R (2007). Use of a vehicle-modelling tool for predicting CO2 emissions in the framework of European regulations for light goods vehicles. Atmospheric Environment, 41(14): 3009–3021
CrossRef
Google scholar
|
[7] |
He L, Hu J, Yang L, Li Z, Zheng X, Xie S, Zu L, Chen J, Li Y, Wu Y (2019). Real-world gaseous emissions of high-mileage taxi fleets in China. Science of the Total Environment, 659(1): 267–274
CrossRef
Pubmed
Google scholar
|
[8] |
He X, Wu Y, Zhang S, Tamor M A, Wallington T J, Shen W, Han W, Fu L, Hao J (2016). Individual trip chain distributions for passenger cars: Implications for market acceptance of battery electric vehicles and energy consumption by plug-in hybrid electric vehicles. Applied Energy, 180(15): 650–660
CrossRef
Google scholar
|
[9] |
Huo H, Yao Z, He K, Yu X (2011). Fuel consumption rates of passenger cars in China: Labels versus real-world. Energy Policy, 39(11): 7130–7135
CrossRef
Google scholar
|
[10] |
ISSRC (The International Sustainable Systems Research Center) (2008). IVE Model User Manual:Version 2.0. La Habra: The International Sustainable Systems Research Center
|
[11] |
Jimenez-Palacios J L (1998). Understanding and Quantifying Motor Vehicle Emissions with Vehicle Specific Power and TILDAS Remote Sensing. Dissertation for the Doctoral Degree. Boston: Massachusetts Institute of Technology
|
[12] |
Liu C, Dai H, Zhang L, Feng C (2019). The impacts of economic restructuring and technology upgrade on air quality and human health in Beijing-Tianjin-Hebei region in China. Frontiers of Environmental Science & Engineering, 13(5): 70https://doi.org/10.1007/s11783-019-1155-y
|
[13] |
Ma R, He X, Zheng Y, Zhou B, Lu S, Wu Y (2019). Real-world driving cycles and energy consumption informed by large-sized vehicle trajectory data. Journal of Cleaner Production, 223(20): 564–574
CrossRef
Google scholar
|
[14] |
Malekian R, Moloisane N R, Nair L, Maharaj B T, Chude-Okonkwo U A (2017). Design and implementation of a wireless OBD II fleet management system. IEEE Sensors Journal, 17(4): 1154–1164
CrossRef
Google scholar
|
[15] |
Marotta A, Pavlovic J, Ciuffo B, Serra S, Fontaras G (2015). Gaseous emissions from light-duty vehicles: Moving from NEDC to the new WLTP test procedure. Environmental Science & Technology, 49(14): 8315–8322
CrossRef
Pubmed
Google scholar
|
[16] |
Mickūnaitis V, Pikūnas A, Mackoit I (2007). Reducing fuel consumption and CO2 emission in motor cars. Transport, 22(3): 160–163 doi:10.1080/16484142.2007.9638119
|
[17] |
Qin L, Dror M B, Kang L, An F (2016). Passenger car actual fuel consumption and working condition fuel consumption. Beijing: Innovation Center of Energy and Transportation (in Chinese)
|
[18] |
SAE (Society of Automotive Engineers) (2008). Electrical/Electronic Systems Diagnostic Terms, Definitions, Abbreviations and Acronyms. Standards. J1930_200810. Michigan: Society of Automobile Engineers
|
[19] |
Saliba G, Saleh R, Zhao Y, Presto A A, Lambe A T, Frodin B, Sardar S, Maldonado H, Maddox C, May A A, Drozd G T, Goldstein A H, Russell L M, Hagen F, Robinson A L (2017). Comparison of gasoline direct-injection (GDI) and port fuel injection (PFI) vehicle emissions: Emission certification standards, cold-start, secondary organic aerosol formation potential, and potential climate impacts. Environmental Science & Technology, 51(11): 6542–6552
CrossRef
Pubmed
Google scholar
|
[20] |
Tietge U, Diaz S, Mock P, Bandivadekar A, Dornoff J, Ligterink N (2018). From Laboratory to Road. 2018 Update of Official and “Real-World” Fuel Consumption and CO2 Values for Passenger Cars in Europe. Berlin, Germany: International Council on Clean Transportation
|
[21] |
Tietge U, Diaz S, Mock P, German J, Bandivadekar A, Ligterink N (2016). From Laboratory to Road. 2016 Update of Official and “Real-World” Fuel Consumption and CO2 Values for Passenger Cars in Europe. Berlin: International Council on Clean Transportation
|
[22] |
Tietge U, Mock P, Franco V, Zacharof N (2017). From laboratory to road: Modeling the divergence between official and real-world fuel consumption and CO2 emission values in the German passenger car market for the years 2001–2014. Energy Policy, 103: 212–222
CrossRef
Google scholar
|
[23] |
U.S. EPA (United States Environmental Protection Agency) (2010). Development of Emission Rates for Heavy-duty Vehicles in the Motor Vehicle Emissions Simulator (Final Report). MOVES2010. Prepared for US Environmental Protection Agency. EPA-420-B-12–049. Washington, DC, USA: USEPA
|
[24] |
U.S. EPA (United States Environmental Protection Agency) (2015). On-board Diagnostics (OBD). Washington, DC, USA: USEPA
|
[25] |
Wagner D V, An F, Wang C (2009). Structure and impacts of fuel economy standards for passenger cars in China. Energy Policy, 37(10): 3803–3811
CrossRef
Google scholar
|
[26] |
Walsh M P (2014). PM2.5: Global progress in controlling the motor vehicle contribution. Frontiers of Environmental Science & Engineering, 8(1): 1–17
CrossRef
Google scholar
|
[27] |
Wang L, Fu J, Wei W, Wei Z, Meng C, Ma S, Wang J (2018). How aerosol direct effects influence the source contributions to PM2.5 concentrations over Southern Hebei, China in severe winter haze episodes. Frontiers of Environmental Science & Engineering, 12(3): 13https://doi.org/10.1007/s11783-018-1014-2
|
[28] |
Wang Z, Jin Y, Wang M, Wei W (2010). New fuel consumption standards for Chinese passenger vehicles and their effects on reductions of oil use and CO2 emissions of the Chinese passenger vehicle fleet. Energy Policy, 38(9): 5242–5250
CrossRef
Google scholar
|
[29] |
Wen Y, Wang H, Larson T, Kelp M, Zhang S, Wu Y, Marshall J D (2019). On-highway vehicle emission factors, and spatial patterns, based on mobile monitoring and absolute principal component score. Science of the Total Environment, 676(1): 242–251
CrossRef
Pubmed
Google scholar
|
[30] |
Wu X, Wu Y, Zhang S, Liu H, Fu L, Hao J (2016). Assessment of vehicle emission programs in China during 1998–2013: Achievement, challenges and implications. Environmental Pollution, 214: 556–567
CrossRef
Pubmed
Google scholar
|
[31] |
Wu X, Zhang S, Guo X, Yang Z, Liu J, He L, Zheng X, Han L, Liu H, Wu Y (2019). Assessment of ethanol blended fuels for gasoline vehicles in China: Fuel economy, regulated gaseous pollutants and particulate matter. Environmental Pollution, 253: 731–740
CrossRef
Pubmed
Google scholar
|
[32] |
Wu X, Zhang S, Wu Y, Li Z, Zhou Y, Fu L, Hao J (2015). Real-world emissions and fuel consumption of diesel buses and trucks in Macao: From on-road measurement to policy implications. Atmospheric Environment, 120: 393–403
CrossRef
Google scholar
|
[33] |
Wu Y, Zhang S, Hao J, Liu H, Wu X, Hu J, Walsh M P, Wallington T J, Zhang K M, Stevanovic S (2017). On-road vehicle emissions and their control in China: A review and outlook. Science of the Total Environment, 574(1): 332–349
CrossRef
Pubmed
Google scholar
|
[34] |
Yang D, Zhang S, Niu T, Wang Y, Xu H, Zhang K M, Wu Y (2019). High-resolution mapping of vehicle emissions of atmospheric pollutants based on large-scale, real-world traffic datasets. Atmospheric Chemistry and Physics, 19(13): 8831–8843
CrossRef
Google scholar
|
[35] |
Yang L (2016). Evaluating Vehicle Fuel Consumption and Nitrogen Oxides Emission Characteristics Based on On-board Diagnostic Approach. Dissertation for the Master Degree. Beijing: Tsinghua University (in Chinese)
|
[36] |
Yang Z, Yang L (2018). Evaluation of real-world fuel consumption of light-duty vehicles in China. International Council on Clean Transportation (ICCT) Report. Beijing: International Council on Clean Transportation
|
[37] |
Yue X, Wu Y, Huang X, Ma Y, Pang Y, Bao X, Hao J (2012). Impact of gasoline engine deposits on light duty vehicle emissions: In-use case study in Beijing, China. Frontiers of Environmental Science & Engineering, 6(5): 717–724
CrossRef
Google scholar
|
[38] |
Zacharof N, Fontaras G, Ciuffo B, Tsiakmakis S, Anagnostopoulos K, Marotta A, Pavlovic J (2016). Review of In Use Factors Affecting the Fuel Consumption and CO2 Emissions of Passenger Cars. Brussels: European Commission
|
[39] |
Zhang S, Wu Y, Hu J, Huang R, Zhou Y, Bao X, Fu L, Hao J (2014a). Can Euro V heavy-duty diesel engines, diesel hybrid and alternative fuel technologies mitigate NOx emissions? New evidence from on-road tests of buses in China. Applied Energy, 132(1): 118–126
CrossRef
Google scholar
|
[40] |
Zhang S, Wu Y, Liu H, Huang R, Un P, Zhou Y, Fu L, Hao J (2014b). Real-world fuel consumption and CO2 (carbon dioxide) emissions by driving conditions for light-duty passenger vehicles in China. Energy, 69 (1): 247–257
CrossRef
Google scholar
|
[41] |
Zhang S, Wu Y, Liu H, Huang R, Yang L, Li Z, Fu L, Hao J (2014c). Real-world fuel consumption and CO2 emissions of urban public buses in Beijing. Applied Energy, 113: 1645–1655
CrossRef
Google scholar
|
[42] |
Zhang S, Wu Y, Wu X, Li M, Ge Y, Liang B, Xu Y, Zhou Y, Liu H, Fu L, Hao J (2014d). Historic and future trends of vehicle emissions in Beijing, 1998–2020: A policy assessment for the most stringent vehicle emission control program in China. Atmospheric Environment, 89: 216–229
CrossRef
Google scholar
|
[43] |
Zheng X, Wu X, He L, Guo X, Wu Y (2019). Black carbon emissions from light-duty passenger vehicles using ethanol blended gasoline fuels. Aerosol and Air Quality Research, 19(7): 1645–1654
CrossRef
Google scholar
|
[44] |
Zheng X, Wu Y, Jiang J, Zhang S, Liu H, Song S, Li Z, Fan X, Fu L, Hao J (2015). Characteristics of on-road diesel vehicles: black carbon emissions in Chinese cities based on portable emissions measurement. Environmental Science & Technology, 49(22): 13492–13500
CrossRef
Pubmed
Google scholar
|
[45] |
Zheng X, Wu Y, Zhang S, He L, Hao J (2018). Evaluating real-world emissions of light-duty gasoline vehicles with deactivated three-way catalyst converters. Atmospheric Pollution Research, 9(1): 126–132
CrossRef
Google scholar
|
/
〈 | 〉 |