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Differences in Energy Consumption in Electric Vehicles: An Exploratory Real-World Study in Beijing

机译:电动汽车能源消耗的差异:北京的探索性真实研究

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摘要

Electric vehicles (EVs) are widely regarded as a promising solution to reduce air pollution in cities and key to a low carbon mobility future. However, their environmental benefits depend on the temporal and spatial context of actual usage (journey energy efficiency) and the rolling out of EVs is complicated by issues such as limited range. This paper explores how the energy efficiency of EVs is affected and shaped by driving behavior, personal driving styles, traffic conditions, and infrastructure design in the real world. Tests have been conducted with a Nissan LEAF under a typical driving cycle on the Beijing road network in order to improve understanding of variations in energy efficiency among drivers under different urban traffic conditions. Energy consumption and operation parameters were recorded in both peak and off-peak hours for a total of 13 drivers. The analysis reported in this paper shows that there are clear patterns in energy consumption along a route that are in part related to differences in infrastructure design, traffic conditions, and personal driving styles. The proposed method for analyzing time series data about energy consumption along routes can be used for research with larger fleets of EVs in the future.
机译:电动车(EVS)被广泛认为是减少城市空气污染的有希望的解决方案和低碳移动性未来的关键。然而,它们的环境效益取决于实际使用的时间和空间背景(旅程能效),并且EVS的轧制因限量范围等问题而复杂。本文探讨了EVS的能源效率如何通过驾驶行为,个人驾驶风格,交通状况和现实世界的基础设施设计来影响。在北京公路网络上的典型驾驶周期下,在典型的驾驶周期下进行了测试,以提高不同城市交通状况下司机能源效率变化的理解。能量消耗和操作参数在峰值和非高峰时段记录了总共13个司机。本文报告的分析表明,沿着基础设施设计,交通条件和个人驾驶风格的差异部分的路线存在明显的模式。提出的方法用于分析沿线能耗的时间序列数据的方法可用于将来与较大的EV队列的研究。

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