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Zhang, Xu 
ORCID: https://orcid.org/0000-0001-6557-6607, Peng, Linyu, Cao, Yue, Liu, Shuohan, Zhou, Huan and Huang, Keli
(2020)
Towards holistic charging management for urban electric taxi via a hybrid deployment of battery charging and swap stations.
Renewable Energy, 155.
pp. 703-716.
ISSN 0960-1481
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Abstract
While previous studies focused on managing charging demand for private electric vehicles (EVs), we investigate ways of supporting the upgrade of an entire public urban electric taxi (ET) system. Concerning the coexistence of plugin charging stations (CSs) and battery swap stations (BSSs) in practice, it thus requires further efforts to design a holistic charging management especially for ETs. By jointly considering the combination of plug-in charging and battery swapping, a hybrid charging management framework is proposed in this paper. The proposed scheme is capable of guiding ETs to appropriate stations with time-varying requirements depending on how emergent the demand will be. Through the selection of battery charging/swap, the optimization goal is to reduce the trip delay of ET. Results under a Helsinki city scenario with realistic ETs and charging stations show the effectiveness of our enabling technology, in terms of minimized drivers’ trip duration, as well as charging performance gains at the ET and station sides.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | battery swap,charging system,driver's trip duration,electric vehicle,renewable energy, sustainability and the environment,sdg 7 - affordable and clean energy ,/dk/atira/pure/subjectarea/asjc/2100/2105 |
| 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: | 27 Jan 2024 03:14 |
| Last Modified: | 18 Dec 2024 01:37 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/94278 |
| DOI: | 10.1016/j.renene.2020.03.093 |
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