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| Content Provider | IET Digital Library |
|---|---|
| Author | Yang, Tianyu Xu, Xiangxiang Guo, Qinglai Zhang, Lin Sun, Hongbin |
| Abstract | With the growing application of electric vehicles (EVs), it is of great significance to have a deep understanding of EV users driving and charging patterns for charging forecasting. However, the rapid growth scale of EV taxis with charging patterns that are closely coupled with human behaviours of temporal–spatial charging choices was not compatible with most previous coordinated strategies. Unlike the majority of existing approaches, a large volume of second-level EV global positioning system (GPS) data was used to study the behaviour patterns of EV users. In practise, a mobile crowdsensing system that records GPS data and transmits information to the server was deployed in a fleet of electric-taxi cabs in Shenzhen, China, making it possible to record the exact behaviour of each vehicle. Travelling and charging statuses of EVs were recorded and analysed into different characteristics of behaviour for each user. The load forecast methods proved to be more effective with more knowledge of both history and real-time data. |
| Starting Page | 1683 |
| Ending Page | 1691 |
| Page Count | 9 |
| ISSN | 17518687 |
| Volume Number | 11 |
| e-ISSN | 17518695 |
| Issue Number | Issue 7, May (2017) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-gtd/11/7 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2016.1200 |
| Journal | IET Generation, Transmission & Distribution |
| Publisher Date | 2017-01-06 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Charging Forecasting Charging Pattern China Data Handling Technique Driving Pattern Electric Vehicle Charging EV Charging Behaviour Analysis EV Charging Behaviour Modelling EV Taxis EV User Behaviour Pattern Global Positioning System Human Factors Information Transmission Load Forecast Method Load Forecasting Mobile Computing Mobile Crowdsensing Data Pervasive Computing Power Engineering Computing Power System Planning And Layout Radio Navigation And Direction Finding Second-level EV Global Positioning System Data Second-level EV GPS Data Sensor Fusion Shenzhen Temporal–spatial Charging Choices Transportation Ubiquitous |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering |
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