Limitations of testing standards for battery electric vehicles: accessories, energy usage, and range

被引:2
|
作者
Oakley, Jonathan [1 ]
McHenry, Mark P. [2 ]
Braunl, Thomas [1 ]
机构
[1] Univ Western Australia, Renewable Energy Vehicle Project, Perth, WA 6009, Australia
[2] Murdoch Univ, Sch Engn & Informat Technol, Murdoch, WA 6150, Australia
关键词
D O I
10.1049/iet-est.2015.0031
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Issues with hydrocarbon fuel supply security, price volatility, alongside environmental, and health concerns of conventional internal combustion engine (ICE) transport technologies have raised interest in electric vehicle (EV) alternatives. However, the methods of EV testing for performance and range are inadequate adaptations from ICE testing standards designed to measure liquid fuel economy and emissions under largely unrealistic conditions. This research assesses the performance of a battery EV (BEV) by conducting a number of real-world driving tests under varying conditions including the impact of vehicle accessory usage (lights, air-conditioning, stereo, heater etc.) and additional passengers. The authors' results demonstrate that large increases of energy consumption from accessory usage and additional passengers do occur in BEVs, which remain outside of most published EV/BEV and ICE vehicle standard test results, which themselves have recently come under scrutiny for other reasons. Owing to the relatively small battery in modern BEVs, this additional loss in efficiency and range under real-world on-road conditions may severely compromise the nascent BEV industry; particularly in areas with limited charging infrastructure.
引用
收藏
页码:215 / 221
页数:7
相关论文
共 50 条
  • [1] Steam and Oxyhydrogen Addition Influence on Energy Usage by Range ExtenderBattery Electric Vehicles
    Lebkowski, Andrzej
    [J]. ENERGIES, 2018, 11 (09)
  • [2] Thermodynamics and energy usage of electric vehicles
    Michaelides, Efstathios E.
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2020, 203
  • [3] Learning policies for battery usage optimization in electric vehicles
    Ermon, Stefano
    Xue, Yexiang
    Gomes, Carla
    Selman, Bart
    [J]. MACHINE LEARNING, 2013, 92 (01) : 177 - 194
  • [4] Learning policies for battery usage optimization in electric vehicles
    Stefano Ermon
    Yexiang Xue
    Carla Gomes
    Bart Selman
    [J]. Machine Learning, 2013, 92 : 177 - 194
  • [5] Range and Battery Depletion Concerns with Electric Vehicles
    Miwa, Tomio
    Sato, Hitomi
    Morikawa, Takayuki
    [J]. JOURNAL OF ADVANCED TRANSPORTATION, 2017,
  • [6] Running battery electric vehicles with extended range: Coupling cost and energy analysis
    Yang, Chen
    [J]. APPLIED ENERGY, 2022, 306
  • [7] Utilisation of Battery Electric Vehicles and Extended Range Electric Vehicles in a Field Test
    Spichartz, P.
    Dost, P.
    Sourkounis, C.
    [J]. 2015 INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY RESEARCH AND APPLICATIONS (ICRERA), 2015, : 1168 - 1173
  • [8] Energy recovery for battery electric vehicles
    Ye, M.
    Bai, Z-F
    Cao, B-G
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2008, 222 (D10) : 1827 - 1839
  • [9] Testing energy efficiency and driving range of electric vehicles in relation to gear selection
    Wager, Guido
    McHenry, Mark P.
    Whale, Jonathan
    Braeunl, Thomas
    [J]. RENEWABLE ENERGY, 2014, 62 : 303 - 312
  • [10] Battery electric vehicles: What is the minimum range required?
    Shi, Xiao
    Pan, Jian
    Wang, Hewu
    Cai, Hua
    [J]. ENERGY, 2019, 166 : 352 - 358