Fuel Consumption Potential of Medium-and Heavy-Duty Applications

被引:0
|
作者
Delorme, Antoine [1 ]
Karbowski, Dominik [1 ]
Vijayagopal, Ram [1 ]
Rousseau, Aymeric [1 ]
机构
[1] Argonne Natl Lab, 9700 S Cass Ave, Argonne, IL 60439 USA
关键词
Heavy Duty; Energy Balance; Hybridization; Dieselization; Fuel Consumption; Simulation;
D O I
暂无
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
Over the past couple of years, several advanced powertrain technologies, including electric vehicles (EVs), hybrid electric vehicles (HEVs), hybrid hydraulic vehicles (HHVs), and alternative-fuel vehicles, have been implemented in medium-and heavy-duty applications. In this study, several advanced powertrain configurations were selected and implemented on different vehicle applications (e.g., parcel and delivery, bus, line haul) over different time frames and were then modeled in PSAT (Powertrain Systems Analysis Toolkit), Argonne National Laboratory's vehicle modeling and simulation tool. The study was sponsored by the U.S. National Academy of Science to support the "Technologies and Approaches to Reducing the Fuel Consumption of Medium-and Heavy-Duty Vehicles" study. This paper analyses the energy balances of different applications for several vehicle speeds. Specific technologies are then selected to minimize the largest losses. Finally, their fuel consumption benefit is assessed on several drive cycles.
引用
收藏
页码:586 / 594
页数:9
相关论文
共 50 条
  • [41] Fuel Economy of Hybrid Electric Heavy-Duty Vehicles
    Katrasnik, Tomaz
    STROJNISKI VESTNIK-JOURNAL OF MECHANICAL ENGINEERING, 2010, 56 (12): : 791 - 802
  • [42] Proton conductors for heavy-duty vehicle fuel cells
    Gittleman, Craig S.
    Jia, Hongfei
    De Castro, Emory S.
    Chisholm, Calum R., I
    Kim, Yu Seung
    JOULE, 2021, 5 (07) : 1660 - 1677
  • [43] Fuel Cell Heavy-Duty Trucks: Application and Prospect
    Tan, Xuguang
    Chen, Wenmiao
    Pan, Fengwen
    ENGINEERING, 2021, 7 (06) : 728 - 730
  • [44] Trip Based Modeling of Fuel Consumption in Modern Heavy-Duty Vehicles Using Artificial Intelligence
    Katreddi, Sasanka
    Thiruvengadam, Arvind
    ENERGIES, 2021, 14 (24)
  • [45] Heavy-duty diesel engine fuel consumption comparison with diesel and biodiesel measured at different altitudes
    Hao C.
    Ge Y.
    Wang X.
    2020, 6 (02): : 263 - 276
  • [46] NEW DEVELOPMENTS IN DUAL-FUEL ENGINE CONVERSIONS FOR HEAVY-DUTY VEHICLE APPLICATIONS
    WADMAN, B
    DIESEL PROGRESS ENGINES & DRIVES, 1995, 61 (10): : 28 - 30
  • [47] Heavy-duty equipment industry demands heavy-duty connectors
    Fye, J
    CONTROL SOLUTIONS, 2002, 75 (05): : 16 - 17
  • [48] Environment-economic comparison of potential alternative fuel heavy-duty trucks in China
    Zhang, Xizhao
    Lin, Zhenhong
    Hao, Han
    Hao, Xu
    Wang, Zhichao
    Li, Shunxi
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2024, 131
  • [49] Does driving behavior matter? An analysis of fuel consumption data from heavy-duty trucks
    Walnum, Hans Jakob
    Simonsen, Morten
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2015, 36 : 107 - 120
  • [50] Energy Management of Heavy-Duty Fuel Cell Electric Vehicles: Model Predictive Control for Fuel Consumption and Lifetime Optimization
    Ferrara, Alessandro
    Okoli, Michael
    Jakubek, Stefan
    Hametner, Christoph
    IFAC PAPERSONLINE, 2020, 53 (02): : 14205 - 14210