Driving Cycles for Estimating Vehicle Emission Levels and Energy Consumption

被引:24
|
作者
Gebisa, Amanuel [1 ]
Gebresenbet, Girma [2 ]
Gopal, Rajendiran [3 ]
Nallamothu, Ramesh Babu [1 ]
机构
[1] Adama Sci & Technol Univ, Mech Syst & Vehicle Engn Dept, POB 1888, Adama, Ethiopia
[2] Swedish Univ Agr Sci, Dept Energy & Technol, Div Automat & Logist, POB 7032, S-75007 Uppsala, Sweden
[3] Def Univ Coll Engn, Dept Motor Vehicle Engn, POB 1041, Addis Ababa, Ethiopia
来源
FUTURE TRANSPORTATION | 2021年 / 1卷 / 03期
关键词
driving cycle; emissions; PEMS; real driving emissions (RDE); FUEL CONSUMPTION; ROAD GRADE; POLLUTANT EMISSIONS; PASSENGER VEHICLES; LIGHT; PERFORMANCE; IMPACT; STYLE; CARS; CO2;
D O I
10.3390/futuretransp1030033
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Standard driving cycles (DCs) and real driving emissions (RDE) legislation developed by the European Commission contains significant gaps with regard to quantifying local area vehicle emission levels and fuel consumption (FC). The aim of this paper was to review local DCs for estimating emission levels and FC under laboratory and real-world conditions. This review article has three sections. First, the detailed steps and methodologies applied during the development of these DCs are examined to highlight weaknesses. Next, a comparison is presented of various recent local DCs using the Worldwide Harmonized Light-Duty Test Cycle (WLTC) and FTP75 (Federal Test Procedure) in terms of the main characteristic parameters. Finally, the gap between RDE with laboratory-based and real-world emissions is discussed. The use of a large sample of real data to develop a typical DC for the local area could better reflect vehicle driving patterns on actual roads and offer a better estimation of emissions and consumed energy. The main issue found with most of the local DCs reviewed was a small data sample collected from a small number of vehicles during a short period of time, the lack of separate phases for driving conditions, and the shifting strategy adopted with the chassis dynamometer. On-road emissions measured by the portable emissions measurement system (PEMS) were higher than the laboratory-based measurements. Driving situation outside the boundary conditions of RDE shows higher emissions due to cold temperatures, road grade, similar shares of route, drivers' dynamic driving conditions, and uncertainty within the PEMS and RDE analysis tools.
引用
收藏
页码:615 / 638
页数:24
相关论文
共 50 条
  • [41] Vehicle fuel consumption and emission estimation in environment-adaptive driving with or without inter-vehicle communications
    Widodo, A
    Hasegawa, T
    Tsugawa, S
    PROCEEDINGS OF THE IEEE INTELLIGENT VEHICLES SYMPOSIUM 2000, 2000, : 382 - 386
  • [42] The Possibility of Applying Neural Networks to Influence Vehicle Energy Consumption by Eco Driving
    Milesich, Tomas
    Bucha, Jozef
    Gulan, Ladislav
    Danko, Jan
    MECHATRONICS 2017: RECENT TECHNOLOGICAL AND SCIENTIFIC ADVANCES, 2018, 644 : 372 - 379
  • [43] Research on Multifractal Characteristics of Vehicle Driving Cycles
    Yuan, Mengting
    Luo, Wenguang
    Lan, Hongli
    Qin, Yongxin
    MACHINES, 2023, 11 (04)
  • [44] Developing an electric vehicle urban driving cycle to study differences in energy consumption
    Zhao, Xuan
    Ma, Jian
    Wang, Shu
    Ye, Yiming
    Wu, Yan
    Yu, Man
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2019, 26 (14) : 13839 - 13853
  • [45] Trip-based explanatory variables for estimating vehicle fuel consumption and emission rates
    Ding, YL
    Rakha, H
    URBAN AIR QUALITY - RECENT ADVANCES, PROCEEDINGS, 2002, : 61 - 77
  • [46] Effects of the tyre dimension on the energy expenditure within different driving cycles and vehicle concepts
    Strigel, A.
    Peckelsen, U.
    Unrau, H. -J.
    Gauterin, F.
    FORSCHUNG IM INGENIEURWESEN-ENGINEERING RESEARCH, 2018, 82 (03): : 219 - 233
  • [47] Developing an electric vehicle urban driving cycle to study differences in energy consumption
    Xuan Zhao
    Jian Ma
    Shu Wang
    Yiming Ye
    Yan Wu
    Man Yu
    Environmental Science and Pollution Research, 2019, 26 : 13839 - 13853
  • [48] Energy-Saving Model Predictive Cruise Control Combined with Vehicle Driving Cycles
    Xu, ZhiHao
    Li, JianHua
    Xiao, Feng
    Zhang, Xu
    Song, ShiXin
    Wang, Da
    Qi, ChunYang
    Wang, JianFeng
    Peng, SiLun
    INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, 2022, 23 (02) : 439 - 450
  • [49] Energy-Saving Model Predictive Cruise Control Combined with Vehicle Driving Cycles
    ZhiHao Xu
    JianHua Li
    Feng Xiao
    Xu Zhang
    ShiXin Song
    Da Wang
    ChunYang Qi
    JianFeng Wang
    SiLun Peng
    International Journal of Automotive Technology, 2022, 23 : 439 - 450
  • [50] Experimental study on the energy consumption of gasoline engine lubricating pumps in standardized driving cycles
    Liu, Zhongmin
    Zhai, Xin
    MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES, 2023, 51 (01) : 450 - 463