Towards Anycasting-driven Reservation System for Electric Vehicle Battery Switch Service
- Submitting institution
-
University of Central Lancashire
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 21989
- Type
- D - Journal article
- DOI
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10.1109/JSYST.2018.2815156
- Title of journal
- IEEE Systems Journal
- Article number
- -
- First page
- 906
- Volume
- 13
- Issue
- 1
- ISSN
- 1932-8184
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
5
- Research group(s)
-
-
- Citation count
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Battery switching instead of waiting a long time to charge electric vehicles (EV) at charging stations can save drivers plenty of time. Thus, it is vital to ensure drivers can book their battery switch, using cellular network, in advance to improve their experience. This paper formed the basis for a project jointly funded by Guangdong Province Foundation and Applied Science in China titled “Towards Heterogeneous Ecosystem via Coordinated Smart Charging and Battery Swap”. It also motivated the publication of a new book titled “Toward Sustainable and Economic Smart Mobility: Shaping the Future of Smart Cities.”
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -