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Usage pattern analysis of Beijing private electric vehicles based on real-world data

机译:基于真实数据的北京私家电动车使用模式分析

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摘要

Developing electric vehicles, as one of the most effective measures in constructing clean transportation, has been vigorously prompted by China's government recently through series of beneficial policies. Thus, both the sales and manufacturing of electric vehicles have witnessed prosperous growth in the last decade, especially in Beijing, whose pure electric vehicles ownership has exceeded 170,000 by the end of 2017 and ranked first in China. However, large-scale deployment of electric vehicles may also bring about troublesome problems concerning the construction of charging infrastructure and stability of electric grid. A comprehensive analysis of usage pattern of electric vehicles, especially the majority for private usage, is useful in predicting the charging load and understanding the driving characteristics, thus guiding location of charging facilities and assisting energy management of electric grid. By collecting operational data of forty-one private electric vehicles with 33,041 trips and 4738 charging events, sixteen characteristic parameters including charge consumption, state of charge before/after charging, single-trip distance, daily distance travelled, specific energy consumption, etc. are analyzed in detail. The analysis results are useful in facilitating charging infrastructures construction, management of state gird, evaluation of emerging vehicular technology and so forth in Beijing and even other metropolises with similar situation. (C) 2018 Elsevier Ltd. All rights reserved.
机译:最近,中国政府通过一系列有利政策,大力发展电动汽车,将其作为建设清洁交通的最有效措施之一。因此,在过去十年中,电动汽车的销售和制造都取得了蓬勃的增长,尤其是在北京,截至2017年底,纯电动汽车的拥有量已超过17万辆,在中国排名第一。然而,电动汽车的大规模部署也可能带来与充电基础设施的建设和电网稳定性有关的麻烦问题。对电动汽车,尤其是大多数私人使用模式的使用模式进行综合分析,有助于预测充电负荷并了解驾驶特性,从而指导充电设施的位置并协助电网的能源管理。通过收集33 041次出行和4738次充电事件的41辆私家电动汽车的运行数据,得出16个特征参数,包括充电消耗,充电之前/之后的充电状态,单次行驶距离,每天行驶的距离,单位能耗等。详细分析。分析结果对于促进北京乃至其他类似情况的大城市的收费基础设施建设,国家电网管理,新兴车辆技术评估等都非常有用。 (C)2018 Elsevier Ltd.保留所有权利。

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