Joint charging mode and location choice model for battery electric vehicle users
Joint charging mode and location choice model for battery electric vehicle users
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纯电动汽车用户联合充电模式及位置选择模型
DOI：
10.1016/j.trb.2017.03.004
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发表时间：
2017-09
影响因子：
6.8
通讯作者：
Yamamoto Toshiyuki
中科院分区：
文献类型：
--
作者：
Xu Min;Meng Qiang;Liu Kai;Yamamoto Toshiyuki
利用日本纯电动汽车（BEV）用户的充电偏好数据，研究了充电方式和充电地点的选择。定义了三种替代方案，包括在家中（对于私人BEV）/公司场所（对于商业BEV）的正常充电，在公共充电站的正常充电和在公共充电站的快速充电。通过确定一个适当的工具变量来纠正午夜指示灯引起的严重内分泌问题，开发了一个混合logit模型来研究影响BEV用户选择充电模式（正常或快速）和位置（家庭/公司或公共车站）的因素以及这些因素如何影响BEV用户的选择。分别对私人和商业纯电动汽车进行了参数估计和结果解释。他们认为，电池容量、午夜指示灯、初始充电状态（SOC）和过去快速充电事件的数量是用户选择充电模式和地点的主要预测因素，当前充电和下一次出行之间的日间隔对在家/公司的正常充电有积极影响。此外，随着前一/下一出行日的车辆行驶公里数（VKT）/出行持续时间的增加，商用纯电动汽车在家中/公司正常充电的概率增加，而私人纯电动汽车则减少。本文的研究结果为公共充电站实现电力移峰填谷和运营策略提供了新的见解，并启发了确定公共充电站密度和部署的新模型和方法的开发和应用。
This paper aims to investigate the choice for charging mode and location with the revealed preference data of battery electric vehicle (BEV) users in Japan. Three alternatives including the normal charging at home (for private BEVs)/company premise (for commercial BEVs), normal charging at public charging stations and fast charging at public charging stations are defined. A mixed logit model is developed to investigate what and how factors influence BEV users’ choice of charging mode (normal or fast) and location (home/company or public stations), by identifying an appropriate instrumental variable to correct the serious endogeneity problem caused by the midnight indicator. The parameters estimation and results interpretation are conducted for private and commercial BEVs respectively. They suggest that the battery capacity, midnight indicator, initial state of charge (SOC) and number of past fast charging events are the main predictors for users’ choice of charging mode and location, that the day interval between current charging and next trip positively affects the normal charging at home/company. In addition, with the increasing of vehicle-kilometres of travel (VKT)/travel duration on former/next travel day, the probability of normal charging at home/company is increased for commercial BEVs, while is decreased for private BEVs. The findings obtained herein have provided new insights into the realization of power peak-load shifting and operation strategy for public charging stations, as well as inspired the development and application of new models and methodologies to determine the density and deployment of public charging stations.
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影响因子：
6.8
作者：
J. Dagsvik;Tom Wennemo;Dag G. Wetterwald;R. Aaberge
通讯作者：
J. Dagsvik;Tom Wennemo;Dag G. Wetterwald;R. Aaberge
DOI：
10.2172/974613
发表时间：
2006-11
期刊：
--
影响因子：
--
作者：
S. Hadley
通讯作者：
S. Hadley
DOI：
10.2139/ssrn.2022651
发表时间：
2012-03
期刊：
Renewable Energy eJournal
影响因子：
--
作者：
Ho‐Yin Mak;Ying Rong;Z. Shen
通讯作者：
Ho‐Yin Mak;Ying Rong;Z. Shen
影响因子：
6.8
作者：
Fang He;Di Wu;Yafeng Yin;Yongpei Guan
通讯作者：
Fang He;Di Wu;Yafeng Yin;Yongpei Guan
DOI：
10.1016/j.trd.2013.07.002
发表时间：
2013-12-01
影响因子：
7.6
作者：
Hackbarth, Andre;Madlener, Reinhard
通讯作者：
Madlener, Reinhard