Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/92302
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Industrial and Systems Engineering | en_US |
dc.creator | Zhao, Z | en_US |
dc.creator | Xu, M | en_US |
dc.creator | Lee, CKM | en_US |
dc.date.accessioned | 2022-03-17T08:47:25Z | - |
dc.date.available | 2022-03-17T08:47:25Z | - |
dc.identifier.issn | 0018-9545 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/92302 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | © 2021 IEEE. . Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
dc.rights | The following publication Z. Zhao, M. Xu and C. K. M. Lee, "Capacity Planning for an Electric Vehicle Charging Station Considering Fuzzy Quality of Service and Multiple Charging Options," in IEEE Transactions on Vehicular Technology, vol. 70, no. 12, pp. 12529-12541, Dec. 2021 is available at https://dx.doi.org/10.1109/TVT.2021.3121440 | en_US |
dc.subject | Capacity planning | en_US |
dc.subject | Charging station | en_US |
dc.subject | Electric vehicle | en_US |
dc.subject | Fuzzy quality of service | en_US |
dc.subject | Multiple charging options | en_US |
dc.title | Capacity planning for an electric vehicle charging station considering fuzzy quality of service and multiple charging options | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 12529 | en_US |
dc.identifier.epage | 12541 | en_US |
dc.identifier.volume | 70 | en_US |
dc.identifier.issue | 12 | en_US |
dc.identifier.doi | 10.1109/TVT.2021.3121440 | en_US |
dcterms.abstract | Electric vehicles (EVs) have received considerable attention in dealing with severe environmental and energy crises. The capacity planning of public charging stations has been a major factor in facilitating the wide market penetration of EVs. In this paper, we present an optimization model for charging station capacity planning to maximize the fuzzy quality of service (FQoS) considering queuing behavior, blocking reliability, and multiple charging options classified by battery technical specifications. The uncertainty of the EV arrival and service time are taken into account and described as fuzzy numbers characterized by triangular membership functions. Meanwhile, an α-cuts-based algorithm is proposed to defuzzify the FQoS. Finally, the numerical results illustrate that a more robust plan can be obtained by accounting for FQoS. The contribution of the proposed model allows decision-makers and operators to plan the capacity of charging stations with fuzzy EV arrival rate and service rate and provide a better service for customers with different charging options. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE transactions on vehicular technology, Dec. 2021, v. 70, no. 12, p. 12529-12541 | en_US |
dcterms.isPartOf | IEEE transactions on vehicular technology | en_US |
dcterms.issued | 2021-12 | - |
dc.identifier.scopus | 2-s2.0-85118265650 | - |
dc.identifier.eissn | 1939-9359 | en_US |
dc.description.validate | 202203 bcfc | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | a1208-n02, ISE-0065 | - |
dc.identifier.SubFormID | 44170 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | The Hong Kong Polytechnic University and the Laboratory for Artificial Intelligence in Design Limited | en_US |
dc.description.pubStatus | Published | en_US |
dc.identifier.OPUS | 58781177 | - |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Zhao_Capacity_Planning_Electric.pdf | Pre-Published version | 1.4 MB | Adobe PDF | View/Open |
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