Novel evaluation method of fuel consumption and emission for heavy-duty hybrid electric vehicles

被引:0
|
作者
F. W. Yan
P. Zhang
C. Q. Du
D. Guo
机构
[1] Wuhan University of Technology,Hubei Key Laboratory of Advanced Technology of Automobile Parts, School of Automotive Engineering
来源
International Journal of Automotive Technology | 2014年 / 15卷
关键词
Heavy-duty hybrid electric vehicles (HD-HEVs); Fuel consumption; Emission; Net energy change; Equivalent mileage;
D O I
暂无
中图分类号
学科分类号
摘要
This paper is a continuation of a previous paper titled “A novel way to calculate energy efficiency for rechargeable batteries” published on Journal of Power Sources/2012 describing a new method to calculate energy efficiency for rechargeable batteries. The present paper further describes the application of energy efficiency model on the evaluation of fuel consumption and emission for the heavy-duty hybrid electric vehicles (HD-HEVs). A more accurate calculation method of net energy change for power battery pack is proposed based on energy efficiency model of power battery pack. A more simplified and accurate correction method of fuel consumption and emission is also presented based on equivalent mileage. The fuel consumption and emission on chassis dynamometer are measured in the HD-HEVs. The experiment results show that relative errors of fuel consumption and emission between equivalent mileage correction results and linear regression correction results are less than 3%, which verifies accuracy and validates the proposed evaluation method for HD-HEVs fuel consumption and emission.
引用
收藏
页码:773 / 779
页数:6
相关论文
共 50 条
  • [21] Fuel consumption and emission performance from light-duty conventional/hybrid-electric vehicles over different cycles and real driving tests
    Wang, Yachao
    Hao, Chunxiao
    Ge, Yunshan
    Hao, Lijun
    Tan, Jianwei
    Wang, Xin
    Zhang, Pengyu
    Wang, Yuan
    Tian, Weidong
    Lin, Zhiqi
    Li, Jian
    FUEL, 2020, 278 (278)
  • [22] Assessment of identification performance for high emission heavy-duty diesel vehicles by means of remote sensing
    Jiang, Han
    Wang, Junfang
    Tian, Miao
    Zhao, Chen
    Zhang, Yingzhi
    Wang, Xiaohu
    Liu, Jin
    Fu, Mingliang
    Yin, Hang
    Ding, Yan
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 912
  • [23] 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
  • [24] CHARACTERIZATION OF DRIVING PATTERNS AND OPERATIONS OF HEAVY DUTY VEHICLES IN A PORT AREA AND THEIR INFLUENCE ON EXHAUST EMISSIONS AND FUEL CONSUMPTION EVALUATION THROUGH DIFFERENT EMISSION MODELS
    Zamboni, G.
    Malfettani, S.
    Andre, M.
    Carraro, C.
    Marelli, S.
    Capobianco, M.
    INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION - 2012, VOL 6, PTS A AND B, 2013, : 11 - 20
  • [25] 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
  • [26] A method for quantifying the resistances of light and heavy-duty vehicles under in-use conditions
    Komnos, Dimitrios
    Broekaert, Stijn
    Zacharof, Nikiforos
    Ntziachristos, Leonidas
    Fontaras, Georgios
    ENERGY CONVERSION AND MANAGEMENT, 2024, 299
  • [27] Greenhouse gas emissions from heavy-duty vehicles in Ireland
    Middela, Mounisai Siddartha
    Mane, Ajinkya
    Djordjevic, Boban
    Ghosh, Bidisha
    TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2024, 130
  • [28] In Use Determination of Aerodynamic and Rolling Resistances of Heavy-Duty Vehicles
    Komnos, Dimitrios
    Broekaert, Stijn
    Grigoratos, Theodoros
    Ntziachristos, Leonidas
    Fontaras, Georgios
    SUSTAINABILITY, 2021, 13 (02) : 1 - 22
  • [29] An analysis of emission reduction strategy for light and heavy-duty vehicles pollutions in high spatial-temporal resolution and emission
    Khazini, Leila
    Kalajahi, Mina Jamshidi
    Blond, Nadege
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (16) : 23419 - 23435
  • [30] Optimal Fuel Consumption Modelling, Simulation, and Analysis for Hybrid Electric Vehicles
    Minh, Vu Trieu
    Moezzi, Reza
    Cyrus, Jindrich
    Hlava, Jaroslav
    APPLIED SYSTEM INNOVATION, 2022, 5 (02)