A Queue Balancing Approach for Electric Vehicle Charging Allocation

No Thumbnail Available
File version
Author(s)
Wang, Qi
Zhang, Dongmo
Du, Bo
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
2022
Size
File type(s)
Location

Macau, China

License
Abstract

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.

Journal Title
Conference Title

2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)

Book Title
Edition
Volume
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject
Persistent link to this record
Citation

Wang, Q; Zhang, D; Du, B, A Queue Balancing Approach for Electric Vehicle Charging Allocation, 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 2750-2755