A queue balancing approach for electric vehicle charging allocation

Qi Wang; Dongmo Zhang; Bo Du

doi:10.1109/ITSC55140.2022.9922375

A queue balancing approach for electric vehicle charging allocation

Qi Wang, Dongmo Zhang, Bo Du

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

1 Citation (Scopus)

Abstract

![CDATA[With an increasing number of electric vehicles but relatively insufficient charging facilities, how to utilise and manage the existing charging resource in an efficient and effective way becomes an important challenge to address. In this paper, a charging resource allocation model is proposed to balance the uneven charging demand at different charging stations and minimise the total average waiting time. A queue balancing algorithm is proposed to solve the problem. Case study is conducted on a linear travel corridor. The results show that the proposed approach can balance the charging load among different charging stations and maximise the utilisation of charging resources. Moreover, the proposed model can help reduce the total average waiting time at charging stations.]]

Original language	English
Title of host publication	Proceedings of the 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC 2022), Macau, China, 8-12 October 2022
Publisher	IEEE
Pages	2750-2755
Number of pages	6
ISBN (Print)	9781665468817
DOIs	https://doi.org/10.1109/ITSC55140.2022.9922375
Publication status	Published - 2022
Event	IEEE International Conference on Intelligent Transportation Systems - Duration: 8 Oct 2022 → …

Conference

Conference	IEEE International Conference on Intelligent Transportation Systems
Period	8/10/22 → …

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10.1109/ITSC55140.2022.9922375

Cite this

@inproceedings{0fa9829ecb574fffa1bcf4e6fdf27d72,

title = "A queue balancing approach for electric vehicle charging allocation",

abstract = "![CDATA[With an increasing number of electric vehicles but relatively insufficient charging facilities, how to utilise and manage the existing charging resource in an efficient and effective way becomes an important challenge to address. In this paper, a charging resource allocation model is proposed to balance the uneven charging demand at different charging stations and minimise the total average waiting time. A queue balancing algorithm is proposed to solve the problem. Case study is conducted on a linear travel corridor. The results show that the proposed approach can balance the charging load among different charging stations and maximise the utilisation of charging resources. Moreover, the proposed model can help reduce the total average waiting time at charging stations.]]",

author = "Qi Wang and Dongmo Zhang and Bo Du",

year = "2022",

doi = "10.1109/ITSC55140.2022.9922375",

language = "English",

isbn = "9781665468817",

pages = "2750--2755",

booktitle = "Proceedings of the 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC 2022), Macau, China, 8-12 October 2022",

publisher = "IEEE",

note = "IEEE International Conference on Intelligent Transportation Systems ; Conference date: 08-10-2022",

}

Wang, Q, Zhang, D & Du, B 2022, A queue balancing approach for electric vehicle charging allocation. in Proceedings of the 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC 2022), Macau, China, 8-12 October 2022. IEEE, pp. 2750-2755, IEEE International Conference on Intelligent Transportation Systems, 8/10/22. https://doi.org/10.1109/ITSC55140.2022.9922375

TY - GEN

T1 - A queue balancing approach for electric vehicle charging allocation

AU - Wang, Qi

AU - Zhang, Dongmo

AU - Du, Bo

PY - 2022

Y1 - 2022

N2 - ![CDATA[With an increasing number of electric vehicles but relatively insufficient charging facilities, how to utilise and manage the existing charging resource in an efficient and effective way becomes an important challenge to address. In this paper, a charging resource allocation model is proposed to balance the uneven charging demand at different charging stations and minimise the total average waiting time. A queue balancing algorithm is proposed to solve the problem. Case study is conducted on a linear travel corridor. The results show that the proposed approach can balance the charging load among different charging stations and maximise the utilisation of charging resources. Moreover, the proposed model can help reduce the total average waiting time at charging stations.]]

AB - ![CDATA[With an increasing number of electric vehicles but relatively insufficient charging facilities, how to utilise and manage the existing charging resource in an efficient and effective way becomes an important challenge to address. In this paper, a charging resource allocation model is proposed to balance the uneven charging demand at different charging stations and minimise the total average waiting time. A queue balancing algorithm is proposed to solve the problem. Case study is conducted on a linear travel corridor. The results show that the proposed approach can balance the charging load among different charging stations and maximise the utilisation of charging resources. Moreover, the proposed model can help reduce the total average waiting time at charging stations.]]

UR - https://hdl.handle.net/1959.7/uws:69061

U2 - 10.1109/ITSC55140.2022.9922375

DO - 10.1109/ITSC55140.2022.9922375

M3 - Conference Paper

SN - 9781665468817

SP - 2750

EP - 2755

BT - Proceedings of the 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC 2022), Macau, China, 8-12 October 2022

PB - IEEE

T2 - IEEE International Conference on Intelligent Transportation Systems

Y2 - 8 October 2022

ER -

A queue balancing approach for electric vehicle charging allocation

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