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Research on layout planning of Charging Infrastructure for Private Electric Vehicle Charging Station
| Content Provider | Scilit |
|---|---|
| Author | Lin, Haijiao Ding, Yong Li, Lixuan |
| Copyright Year | 2021 |
| Description | Journal: Iop Conference Series: Earth and Environmental Science Green development is the theme of the world today. As a kind of pollution-free and convenient carrying tool, the electric vehicle (EV) has been developed rapidly. The layout of the charging station satisfies the customers’ charging demand. Establishing vehicle prediction and charging scale prediction models to meet customers with charging needs. In the research on the layout planning of the charging stations, the elasticity coefficient method is used to predict the number of private electric vehicle (EV), and the queuing theory model is used to predict the charging demand. Forecasting the scale of charging stations based on private electric vehicles ownership and charging demand. Finally, a city is selected as the planning area for example analysis. The feasibility and nationality of the charging station layout planning method were proved. |
| Related Links | https://iopscience.iop.org/article/10.1088/1755-1315/714/4/042087/pdf |
| ISSN | 17551307 |
| e-ISSN | 17551315 |
| DOI | 10.1088/1755-1315/714/4/042087 |
| Journal | Iop Conference Series: Earth and Environmental Science |
| Issue Number | 4 |
| Volume Number | 714 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2021-03-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Earth and Environmental Science Environmental Engineering Private Electric Vehicles Charging Station |
| Content Type | Text |
| Resource Type | Article |
| Subject | Earth and Planetary Sciences Physics and Astronomy Environmental Science |
