A method for quantifying the resistances of light and heavy-duty vehicles under in-use conditions

被引:3
作者
Komnos, Dimitrios [1 ]
Broekaert, Stijn [2 ]
Zacharof, Nikiforos [1 ]
Ntziachristos, Leonidas [1 ]
Fontaras, Georgios [2 ]
机构
[1] Aristotle Univ Thessaloniki, Thessaloniki, Greece
[2] European Commiss, Joint Res Ctr, Ispra, Italy
关键词
Vehicle resistances; CO2; emissions; Fuel consumption; Energy consumption; Road loads; On-road; CO2; EMISSIONS; ROAD; TECHNOLOGIES; CONSUMPTION;
D O I
10.1016/j.enconman.2023.117810
中图分类号
O414.1 [热力学];
学科分类号
摘要
Tyre rolling resistance and air drag significantly affect road-vehicle fuel and energy consumption. Their importance is recognised in vehicle certification regulations and standards worldwide. Detailed methodologies for their determination exist that require testing in dedicated proving grounds or specialised test facilities outside of actual driving conditions. As countries strive to improve vehicle efficiency, in-use verification of vehicle resistances will become essential for research and vehicle homologation. Multiple factors may limit such activities such as cost, lack of dedicated test infrastructure and equipment, and incompatibility with other vehicle-related tests that already take place. This study proposes a new method for determining vehicle resistances during on-road measurements based on wheel torque data. The method allows less expensive, more versatile test procedures that could be applied to a wide sample of vehicles across the fleet. The method was evaluated experimentally with nine vehicles (3 light-duty, 6 heavy-duty). Repeatability tests showed that the air drag error standard deviation ranged from 1 to 5.5 % for light-duties, and the pooled error standard deviation was 5.8 % among all heavy-duty vehicles. The results showed a divergence from the target cycle energy demand of <5 % during the on-road tests, a limit indicating the highest expected test discrepancy due to test uncertainties. Vehicle fuel consumption was simulated with both the measured and official resistance coefficients as a secondary validation. The on-road calculated coefficients led to accurate estimates of real-world consumption. The study discusses the impact of the wind vector during the test on the air drag and resistances' influence on consumption.
引用
收藏
页数:16
相关论文
共 50 条
[31]   Improvement of Transient Operation Controllability in Engine Test Bench for Heavy-Duty Vehicles [J].
Norifumi Mizushima ;
Shigeo Sato ;
Hiroyuki Yagi ;
Hisakazu Suzuki .
International Journal of Automotive Technology, 2019, 20 :1255-1262
[32]   Improvement of Transient Operation Controllability in Engine Test Bench for Heavy-Duty Vehicles [J].
Mizushima, Norifumi ;
Sato, Shigeo ;
Yagi, Hiroyuki ;
Suzuki, Hisakazu .
INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, 2019, 20 (06) :1255-1262
[33]   Fleet operator perspectives on alternative fuels for heavy-duty vehicles [J].
Bae, Youngeun ;
Rindt, Craig R. ;
Mitra, Suman Kumar ;
Ritchie, Stephen G. .
TRANSPORT POLICY, 2024, 149 :36-48
[34]   A Modular Model for Determining Cornering Resistance of Heavy-Duty Vehicles [J].
Beckers, Alenka ;
Beckers, Camiel ;
Mentink, Paul ;
Besselink, Igo ;
Wilkins, Steven .
2024 IEEE VEHICLE POWER AND PROPULSION CONFERENCE, VPPC 2024, 2024,
[35]   Study on CO2 Emission Assessment of Heavy-Duty and Ultra-Heavy-Duty Vehicles Using Machine Learning [J].
Seokho Moon ;
Jinhee Lee ;
Hyung Jun Kim ;
Jung Hwan Kim ;
Suhan Park .
International Journal of Automotive Technology, 2024, 25 :651-661
[36]   A data-driven framework for incentivising fuel-efficient driving behaviour in heavy-duty vehicles [J].
Mane, Ajinkya ;
Djordjevic, Boban ;
Ghosh, Bidisha .
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2021, 95
[37]   Ecotoxicity assessment of particulate matter emitted from heavy-duty diesel-powered vehicles: influence of leaching conditions [J].
Correa, Albertina X. R. ;
Testolin, Renan C. ;
Torres, Mariana M. ;
Cotelle, Sylvie ;
Schwartz, Jean-Jacques ;
Millet, Maurice ;
Radetski, Claudemir M. .
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2017, 24 (10) :9399-9406
[38]   Ultra-low emissions of a heavy-duty engine powered with oxymethylene ethers (OME) under stationary and transient driving conditions [J].
Gelner, Alexander D. ;
Beck, Harald A. ;
Pastoetter, Christian ;
Haertl, Martin ;
Wachtmeister, Georg .
INTERNATIONAL JOURNAL OF ENGINE RESEARCH, 2022, 23 (05) :738-753
[39]   Using Multi-Source data to identify high NOx emitting Heavy-Duty diesel vehicles [J].
Yang, Zhuoqian ;
Han, Ke ;
Liao, Linwei ;
Wu, Jiaxin .
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2024, 134
[40]   Characterization and prediction of tailpipe ammonia emissions from in-use China 5/6 light-duty gasoline vehicles [J].
Zeng, Lewei ;
Wang, Fengbin ;
Xiao, Shupei ;
Zheng, Xuan ;
Li, Xintong ;
Xie, Qiyuan ;
Yu, Xiaoyang ;
Huang, Cheng ;
Hu, Qingyao ;
You, Yan ;
Wu, Ye .
FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING, 2024, 18 (01)