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Optimal battery electric vehicles range: A study considering heterogeneous travel patterns, charging behaviors, and access to charging infrastructure

机译:最佳电池电动车系列:考虑异构旅行模式,充电行为和收费基础设施的研究

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摘要

The choice of battery range (all-electric driving range) for battery electric vehicles (BEVs) is an important issue for both BEV adopters and BEV makers. This paper proposes a model to identify the minimum BEV battery range that can satisfy given travel demands, considering the opportunities to charge at existing public charging stations and the uncertainties in charging decision making. We conducted a stated preference survey to study the charging decision making and analyzed the data using the Latent Class model to generate the model coefficients for charging decisions making. The proposed approach can better identify the needed battery range than the often-used simplified charging rules. We applied the model to a case study of Beijing to evaluate the needed battery range for taxis and private vehicles. For taxis, BEVs with 220-mile battery range are able to satisfy the travel demands for about 90% of the drivers. For private vehicles, a 300-mile range is needed to cover the travel demands of 90% of the drivers, while a 100-mile range battery is able to satisfy the need for 80% of the private drivers. Simplified charging rules tend to underestimate the range needs for taxis but overestimate the range needs for private vehicles.
机译:电池电量(BEVS)的电池范围(全电动驾驶范围)的选择是BEV采用者和BEV制造商的重要问题。本文提出了一种模型,以确定可以满足旅行需求的最小BEV电池测量,考虑到现有公共收费站收取的机会以及收费决策中的不确定性。我们进行了一个规定的偏好调查,以研究充电决策,并使用潜在类模型分析数据以生成用于计费决策的模型系数。所提出的方法可以更好地识别所需的电池范围,而不是经常使用的简化的计费规则。我们将该模型应用于北京的案例研究,以评估出租车和​​私人车辆所需的电池范围。对于出租车,具有220英里的电池频率的BEV可以满足约90%的驱动器的旅行需求。对于私人车辆,需要300英里的范围来覆盖90%的驱动器的旅行需求,而100英里的电池电量能够满足80%的私人驱动程序的需求。简化的计费规则倾向于低估出租车的需求,但估计私人车辆的范围。

著录项

  • 来源
    《Energy》 |2020年第15期|116945.1-116945.9|共9页
  • 作者单位

    School of Industrial Engineering Purdue University West Lafayette IN 47907 United States;

    School of Industrial Engineering Purdue University West Lafayette IN 47907 United States;

    State Key Laboratory of Automotive Safety and Energy Tsinghua University Beijing 100084 China;

    School of Industrial Engineering Purdue University West Lafayette IN 47907 United States Environmental and Ecological Engineering Purdue University West Lafayette IN 47907 United States;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Battery range; Electric vehicles; Mixed integer nonlinear programming; (MINLP); Charging behaviors; Charging infrastructure;

    机译:电池范围;电动车;混合整数非线性编程;(MINLP);充电行为;充电基础设施;

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