Bibliographic Details
| Title: |
Charging Strategy Unifying Spatial-Temporal Coordination of Electric Vehicles |
| Authors: |
Jialei Zhang, Yunqing Pei, Jiaming Shen, Laili Wang, Tao Ding, Sen Wang |
| Source: |
IEEE Access, Vol 8, Pp 74853-74863 (2020) |
| Publisher Information: |
IEEE, 2020. |
| Publication Year: |
2020 |
| Collection: |
LCC:Electrical engineering. Electronics. Nuclear engineering |
| Subject Terms: |
Charging load, driving time, electric vehicle, spatial-temporal, waiting time, Electrical engineering. Electronics. Nuclear engineering, TK1-9971 |
| More Details: |
This paper focuses on how to make a charging guidance for urgent charging electric vehicles (EVs) to fast charging stations. To avoid charging overload in the spatial-temporal scale and excessive waiting time for EV users, a charging guidance strategy based on the virtual service range is proposed. Considering the mutual influence among EVs' charging selections, the proposed strategy can unify the temporal shift and spatial shift of the charging load into the same time scale to control rather than other works only do the temporal shift. Specifically, the proposed strategy has two stages: the charging arrangement and the spatial-temporal shift. The charging arrangement stage is to determine whether an EV can be allowed to charge at a certain time and a given charging station while the spatial-temporal shift stage is to regulate the charging time or charging location. Besides, a bucketsort-based algorithm is proposed to solve the formulated problem in the charging arrangement stage. Finally, three scenarios have been designed to demonstrate the feasibility of the proposed strategy and the performance of the presented algorithm is compared with the other decentralized algorithms. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2169-3536 |
| Relation: |
https://ieeexplore.ieee.org/document/9064725/; https://doaj.org/toc/2169-3536 |
| DOI: |
10.1109/ACCESS.2020.2987607 |
| Access URL: |
https://doaj.org/article/bd86bc47bd7345bdb8462fa7f0782ec3 |
| Accession Number: |
edsdoj.bd86bc47bd7345bdb8462fa7f0782ec3 |
| Database: |
Directory of Open Access Journals |
