You, Pengcheng and Cheng, Peng and Pang, John Z. F. and Low, Steven H. (2018) Efficient Online Station Assignment for EV Battery Swapping. In: Proceedings of the Ninth International Conference on Future Energy Systems. Association for Computing Machinery , New York, NY, pp. 383-385. ISBN 978-1-4503-5767-8. https://resolver.caltech.edu/CaltechAUTHORS:20180529-104115111
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Abstract
This paper investigates the online station assignment for (commercial) electric vehicles (EVs) that make battery swapping requests to a central operator, with the aim of minimizing cost to EVs and congestion at service stations. Inspired by a polynomial-time solvable offline solution via a bipartite matching approach, we develop an efficient online station assignment algorithm that provably achieves a tight (optimal) competitive ratio under mild conditions.
| Item Type: | Book Section | ||||||||
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| Additional Information: | © 2018 ACM. | ||||||||
| DOI: | 10.1145/3208903.3212032 | ||||||||
| Record Number: | CaltechAUTHORS:20180529-104115111 | ||||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20180529-104115111 | ||||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||||
| ID Code: | 86658 | ||||||||
| Collection: | CaltechAUTHORS | ||||||||
| Deposited By: | Tony Diaz | ||||||||
| Deposited On: | 29 May 2018 17:52 | ||||||||
| Last Modified: | 15 Nov 2021 20:40 |
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