AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home Journal of Intelligent and Connected Vehicles Article
PDF (320.3 KB)
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research paper | Open Access

Optimal charging plan for electric bus considering time-of-day electricity tariff

Yuhan Liu1, Linhong Wang2, Ziling Zeng3, Yiming Bie2( )
The Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai, China
School of Transportation, Jilin University, Changchun, China
Department of Architecture and Civil Engineering, Chalmers University of Technology, Gothenburg, Sweden
Show Author Information

Abstract

Purpose

The purpose of this study is to develop an optimization method for charging plans with the implementation of time-of-day (TOD) electricity tariff, to reduce electricity bill.

Design/methodology/approach

Two optimization models for charging plans respectively with fixed and stochastic trip travel times are developed, to minimize the electricity costs of daily operation of an electric bus. The charging time is taken as the optimization variable. The TOD electricity tariff is considered, and the energy consumption model is developed based on real operation data. An optimal charging plan provides charging times at bus idle times in operation hours during the whole day (charging time is 0 if the bus is not get charged at idle time) which ensure the regular operation of every trip served by this bus.

Findings

The electricity costs of the bus route can be reduced by applying the optimal charging plans.

Originality/value

This paper produces a viable option for transit agencies to reduce their operation costs.

Keywords

Electric busCharging planTime-of-day electricity tariffStochastic trip travel timeOptimization model

References

【1】
【1】
 
 
Crossref Google Scholar
Journal of Intelligent and Connected Vehicles
Volume 5 Issue 2,
May 2022
Pages 123-137
DOI: 10.1108/JICV-04-2022-0008

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Cite this Report
Close
Close
Cite this article:
Liu Y, Wang L, Zeng Z, et al. Optimal charging plan for electric bus considering time-of-day electricity tariff. Journal of Intelligent and Connected Vehicles, 2022, 5(2): 123-137. https://doi.org/10.1108/JICV-04-2022-0008

1779

Views

152

Downloads

51

Crossref

48

Web of Science

50

Scopus
Received: 04 April 2022
Revised: 11 April 2022
Accepted: 11 April 2022
Published: 10 May 2022
© 2022 Yuhan Liu, Linhong Wang, Ziling Zeng and Yiming Bie. Published in Journal of Intelligent and Connected Vehicles. Published by Emerald Publishing Limited.

This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence maybe seen at http://creativecommons.org/licences/by/4.0/legalcode