| Issue |
MATEC Web Conf.
Volume 175, 2018
2018 International Forum on Construction, Aviation and Environmental Engineering-Internet of Things (IFCAE-IOT 2018)
|
|
|---|---|---|
| Article Number | 04033 | |
| Number of page(s) | 4 | |
| Section | Urban Planning, Environment and Construction | |
| DOI | https://doi.org/10.1051/matecconf/201817504033 | |
| Published online | 02 July 2018 | |
Research on Behavior Characteristics of Charging User of Electric Vehicles
State Grid Jibei Electric Power Co., Ltd. Electric Power Research Institute, North China Electric Power Research Institute Co., Ltd., Beijing 100045 ;
a Corresponding author: 676269930@qq.com
It is difficult to find the characteristics of electric vehicle users through charging transaction data. However, these characteristics are very important for charging station operators to improve the service quality of their operation and maintenance. This paper uses the K-means clustering model to study the transaction data of the charging stations in northern Hebei from October 2016 to September 2017. It finds three types of users: high-speed primary users, high-speed secondary users, and urban users; Based on this, four types of users are further drilled out: play users, cross-city office users, pass users, and urban residents users. Based on these user characteristics, corresponding operational strategies, charging station planning and construction suggestions are proposed.
© The Authors, published by EDP Sciences 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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