Zhang, Xu ORCID: https://orcid.org/0000-0001-6557-6607, Cao, Yue, Peng, Linyu, Ahmad, Naveed and Xu, Lexi (2020) Towards efficient battery swapping service operation under battery heterogeneity. IEEE Transactions on Vehicular Technology, 69 (6). pp. 6107-6118. ISSN 0018-9545
Preview |
PDF (Towards_Efficient_Battery_Swapping_Service_Operation_Under_Battery_Heterogeneity)
- Accepted Version
Download (6MB) | Preview |
Abstract
The proliferation of electric vehicles (EVs) has posed significant challenges to the existing power grid infrastructure. It thus becomes of vital importance to efficiently manage the Electro-Mobility for large demand from EVs. Due to limited cruising range of EVs, vehicles have to make frequent stops for recharging, while long charging period is one major concern under plug-in charging. We herein leverage battery swapping (BS) technology to provide an alternative charging service, which substantially reduces the charging duration (from hours down to minutes). Concerning in practice that various battery is generally not compatible with each other, we thus introduce battery heterogeneity into the swapping service, concerning the case that different types of EVs co-exist. A battery heterogeneity-based swapping service framework is then proposed. Further with reservations for swapping service enabled, the demand load can be anticipated at BS stations as a guidance to alleviate service congestion. Therefore, potential hotspots can be avoided. Results show the performance gains under the proposed scheme by comparing to other benchmarks, in terms of service waiting time, etc. In particular, the diversity of battery stock across the network can be effectively managed.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | battery switch,e-mobility,electric vehicle,transportation planning,automotive engineering,aerospace engineering,computer networks and communications,electrical and electronic engineering ,/dk/atira/pure/subjectarea/asjc/2200/2203 |
Faculty \ School: | Faculty of Science > School of Computing Sciences |
UEA Research Groups: | Faculty of Science > Research Groups > Data Science and AI |
Related URLs: | |
Depositing User: | LivePure Connector |
Date Deposited: | 26 Jan 2024 02:15 |
Last Modified: | 10 Dec 2024 01:43 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/94261 |
DOI: | 10.1109/TVT.2020.2989195 |
Downloads
Downloads per month over past year
Actions (login required)
View Item |