Convex Fuel Consumption Model for Diesel and Hybrid Buses

被引:14
|
作者
Wang, Jinghui [1 ]
Rakha, Hesham A. [1 ]
机构
[1] Virginia Polytech Inst & State Univ, Dept Civil & Environm Engn, Coll Engn, Ctr Sustainable Mobil Virginia Tech Transportat I, 3500 Transportat Res Plaza, Blacksburg, VA 24061 USA
关键词
D O I
10.3141/2647-07
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The concave fuel consumption model may generate unrealistic driving recommendations in a control system; for instance, the model may recommend higher cruise speed to achieve lower fuel consumption levels on steeper roads. To improve the model performance with regard to driving control, the study developed a convex second-order polynomial fuel consumption model for conventional diesel and hybrid-electric buses. The model simultaneously circumvents the bang-bang type of control that implies that drivers would have to accelerate at full throttle or brake at full braking to minimize their fuel consumption levels. Six bus series (four diesel series and two hybrid series), covering a wide range of bus properties, were modeled. The model was developed on the basis of the Virginia Tech comprehensive power fuel-based model (VT-CPFM) framework and, given a lack of readily available data, calibrated by conducting empirical measurements. The model was validated by comparing its estimates against in-field measurements and predictions from the comprehensive modal emissions model, the Motor Vehicle Emissions Simulator model, and the concave VT-CPFM model. The results demonstrate that the convex model generates estimates consistent with field measurements and the predictions of the other models and can provide realistic driving recommendations without significantly sacrificing accuracy relative to the concave model. Optimum fuel economy cruise speed ranges from 39 to 47 km/h for all tested buses on grades ranging from 0% to 8% and decreases with the increase of grade and vehicle load.
引用
收藏
页码:50 / 60
页数:11
相关论文
共 50 条
  • [1] Fuel consumption model for conventional diesel buses
    Wang, Jinghui
    Rakha, Hesham A.
    [J]. APPLIED ENERGY, 2016, 170 : 394 - 402
  • [2] Virginia Tech Comprehensive Power-Based Fuel Consumption Model Modeling Diesel and Hybrid Buses
    Edwardes, William
    Rakha, Hesham
    [J]. TRANSPORTATION RESEARCH RECORD, 2014, (2428) : 1 - 9
  • [3] Modeling fuel consumption of hybrid electric buses: Model development and comparison with conventional buses
    Wang J.
    Rakha H.A.
    [J]. Transportation Research Record, 2016, 2539 : 94 - 102
  • [4] The Reduction of Fuel Consumption on the Example of Ecological Hybrid Buses
    Bajerlein, Maciej
    Rymaniak, Lukasz
    [J]. EXPERIMENTAL AND APPLIED MECHANICS, 2014, 518 : 96 - 101
  • [5] Evaluation of diesel and fuel cell plug-in hybrid city buses
    Lajunen, Antti
    [J]. 2015 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC), 2015,
  • [6] Fuel consumption and exhaust emissions of urban buses: Performance of the new diesel technology
    Nylund, Nils-Olof
    Erkkila, Kimmo
    Hartikka, Tuukka
    [J]. VTT Tied Valt Tek Tutkimuskeskus, 2007, 2373 (1-48): : 1 - 48
  • [7] Fuel consumption and exhaust emissions of urban buses. Performance of newest diesel technology
    Nylund, Nils-Olof
    Erkkilä, Kimmo
    Hartikka, Tuukka
    [J]. VTT Tiedotteita - Valtion Teknillinen Tutkimuskeskus, 2007, (2372): : 3 - 47
  • [8] Emissions and fuel consumption of natural gas powered city buses versus diesel buses in real-city traffic
    Pelkmans, L
    De Keukeleere, D
    Lenaers, G
    [J]. URBAN TRANSPORT VII: URBAN TRANSPORT AND THE ENVIRONMENT IN THE 21ST CENTURY, 2001, 8 : 651 - 660
  • [9] Modeling Diesel and Hybrid Bus Fuel Consumption with Virginia Tech Comprehensive Power-Based Fuel Consumption Model Model Enhancements and Calibration Issues
    Edwardes, William
    Rakha, Hesham
    [J]. TRANSPORTATION RESEARCH RECORD, 2015, (2533) : 100 - 108
  • [10] Real emissions, driving patterns and fuel consumption of in-use diesel buses operating at high altitude
    Giraldo, Michael
    Huertas, Jose, I
    [J]. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2019, 77 : 21 - 36