EconPapers    
Economics at your fingertips  
 

Integrated charging scheduling and energy management for electrified-autonomous flexible transit with energy storage systems design

Haoran Jiang, Shaozhi Hong, Zeling Wang and Qing Yu

Applied Energy, 2025, vol. 392, issue C, No S030626192500741X

Abstract: Electrified-autonomous flexible buses (EAB) offer promising potential for delivering efficient and demand-responsive public transit services but pose challenges in charging planning and energy management. This study proposes a flexible bus operation model as an alternative to the conventional fixed-route terminal charging approach. A series of scenarios is developed to assess system performance under the integration of fast charging stations (FCS) and energy storage systems (ESS), in conjunction with a time-of-use electricity pricing scheme and the implementation of peak voltage management (PVM) strategies. The results demonstrate that the PVM strategy effectively reduces grid peak power by 22.2 % compared to the baseline scenario, which exhibits pronounced load spikes. However, this peak reduction comes at the cost of extended charging durations and diminished utilization efficiency. In contrast, the ESS-based scenario reduces charging time by 8.9 % relative to the PVM scenario and enhances the objective function by 60.6 %, primarily due to revenue generated through ESS operation. Nonetheless, this configuration introduces a new sharp peak in grid power associated with ESS charging. The combined deployment of ESS and PVM effectively mitigates this issue, further increasing ESS-related profits by 8.4 % and offering a more sustainable and economically viable solution. In addition, this study explores the impact of ESS capacity on system performance and finds that the flexible on-demand service model of EAB provides strong support for arranging the ESS and the implementation of PVM.

Keywords: Autonomous flexible transit; Charging scheduling; Energy storage systems; Peak charging power management; Mixed-integer nonlinear model (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S030626192500741X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:392:y:2025:i:c:s030626192500741x

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2025.126011

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-05-20
Handle: RePEc:eee:appene:v:392:y:2025:i:c:s030626192500741x