Assessment of Energy Consumption Characteristics of Ultra-Heavy-Duty Vehicles under Real Driving Conditions

被引:3
|
作者
Jo, Seongin [1 ]
Kim, Hyung Jun [2 ]
Kwon, Sang Il [2 ]
Lee, Jong Tae [2 ]
Park, Suhan [3 ]
机构
[1] Chonnam Natl Univ, Sch Mech Engn, 77 Yongbong Ro, Gwangju 61186, South Korea
[2] Natl Inst Environm Res, 42 Hwangyeong Ro, Inchon 22689, South Korea
[3] Konkuk Univ, Sch Mech & Aerosp Engn, 120 Neungdong Ro, Seoul 05029, South Korea
基金
新加坡国家研究基金会;
关键词
heavy-duty vehicle; payload; rolling resistance; air drag coefficient; fuel consumption rate; carbon dioxide; EMISSIONS;
D O I
10.3390/en16052333
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Passenger cars account for the largest share of GHG emissions in the road sector. However, given that the number of heavy-duty vehicles registered is lower but accounts for about a quarter of GHG emissions in the road sector, it is necessary to reduce carbon dioxide (CO2) emissions by improving the fuel efficiency of heavy-duty vehicles. However, experiments using dynamometers during the vehicle development process consume a lot of time and cost. Conversely, simulations can quantitatively analyze the sensitivity of parameters and accelerate optimization. Therefore, in this study, we modeled a heavy-duty vehicle using an AVL Cruise simulation and analyzed the effects of payload, air drag coefficient, and rolling resistance on fuel economy, CO2 emission, and the valid window ratio among the moving average window (MAW) for three driving routes. When the average vehicle speed was higher, the effect of the air drag coefficient on fuel economy was high. Additionally, when the average vehicle speed was lowered, the effect of the reduced rolling resistance on improving fuel efficiency was higher than that of the reducing air drag. Thus, the fuel efficiency improvement rate according to each 10% decrease in rolling resistance was higher by 2.2%, on average, in the low average speed route. Additionally, it was confirmed that the valid window ratio was high when driving in a section with a high vehicle speed first. Thus, the valid window ratio was almost 100% in the test of the route conditions starting from the highway section.
引用
收藏
页数:18
相关论文
共 50 条
  • [1] Study on CO2 Emission Assessment of Heavy-Duty and Ultra-Heavy-Duty Vehicles Using Machine Learning
    Seokho Moon
    Jinhee Lee
    Hyung Jun Kim
    Jung Hwan Kim
    Suhan Park
    International Journal of Automotive Technology, 2024, 25 : 651 - 661
  • [2] Study on CO2 Emission Assessment of Heavy-Duty and Ultra-Heavy-Duty Vehicles Using Machine Learning
    Moon, Seokho
    Lee, Jinhee
    Kim, Hyung Jun
    Kim, Jung Hwan
    Park, Suhan
    INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, 2024, 25 (02) : 305 - 319
  • [3] Passenger cars and heavy duty vehicles exhaust emissions under real driving conditions
    Merkisz-Guranowska, Agnieszka
    Pielecha, Jacek
    Archives of Transport, 2014, 31 (03) : 47 - 59
  • [4] Comparison of energy consumption between hybrid and electric vehicles under real-world driving conditions
    Jeong, Jun Woo
    Lee, Juho
    Lee, Jungkoo
    Cha, Junepyo
    Lee, Kihyung
    JOURNAL OF POWER SOURCES, 2024, 618
  • [5] Emissions from heavy-duty vehicles under actual on-road driving conditions
    Durbin, Thomas D.
    Johnson, Kent
    Miller, J. Wayne
    Maldonado, Hector
    Chernich, Don
    ATMOSPHERIC ENVIRONMENT, 2008, 42 (20) : 4812 - 4821
  • [6] NOx Emissions from Euro 5 and Euro 6 Heavy-Duty Diesel Vehicles under Real Driving Conditions
    Ko, Sangchul
    Park, Junhong
    Kim, Hyungjun
    Kang, Gunwoo
    Lee, Jongchul
    Kim, Jongmin
    Lee, Jongtae
    ENERGIES, 2020, 13 (01)
  • [7] Energy Assessment of Different Powertrain Options for Heavy-Duty Vehicles and Energy Implications of Autonomous Driving
    Sigle, Sebastian
    Hahn, Robert
    ENERGIES, 2023, 16 (18)
  • [8] Emission behaviour of modern heavy duty vehicles in real world driving
    Hausberger, S
    Rexeis, M
    INTERNATIONAL JOURNAL OF ENVIRONMENT AND POLLUTION, 2004, 22 (03) : 275 - 286
  • [9] Characteristics and influence factors of ammonia emissions from light-duty vehicles under real-world driving conditions
    Wu, Xian
    Jiang, Han
    Zhao, Haiguang
    Lai, Yitu
    Zu, Lei
    Wang, Yunjing
    Fu, Mingliang
    Su, Sheng
    Ding, Yan
    FUEL, 2025, 393
  • [10] NOx Emission Model of Heavy-Duty Diesel Vehicles Considering Exhaust Temperature Under Real-World Driving Conditions
    Ji Z.
    Wang X.
    Yin H.
    Fan P.
    Song G.
    Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2024, 52 (02): : 136 - 144