Measuring the effectiveness of incorporating mobile charging services into urban electric vehicle charging network: An agent-based approach

Mobile charging service (MCS) has emerged as a cost-efficient solution to compensate for the limitations of fixed charging stations (FCSs) in service capacity and coverage. Nevertheless, the impacts of incorporating the MCS into the charging infrastructure network have not been well understood. Therefore, this study introduces an exhaustive framework for devising Agent-based Modeling (ABM) to delineate electric vehicle (EV) drivers' daily travels and charging behaviors within the integrated charging network. Specifically, the developed ABM framework encompasses both internal attributes of individuals and external variables of charging and transport networks that potentially shape EV drivers’ public charging decisions. It generates authentic daily charging demands for FCSs and MCSs and provides a streamlined process to further incorporate more charging modes into the EV charging ecosystem. Subsequently, we opted for the Salt Lake City metropolitan area to implement our framework and showcase the effectiveness of MCS integration on the charging network over various EV adoption levels and network settings. The findings of the designed case study unravel the choice patterns of EV drivers when facing diverse charging options and pinpoint the strengths and weaknesses of MCS incorporating into the urban charging network at different stages.

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Publication Details

Journal
Renewable Energy
Published
2024-08-26
DOI
https://doi.org/10.1016/j.renene.2024.121246
Citations
15
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
3.13
Controls
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article

Measuring the effectiveness of incorporating mobile charging services into urban electric vehicle charging network: An agent-based approach

Bingkun Chen, Xiaoyue Cathy Liu, Zhuo Chen, Nan Zheng et al.
15 citations
Renewable Energy
Electric Vehicles and Infrastructure
3.13
article

Measuring the effectiveness of incorporating mobile charging services into urban electric vehicle charging network: An agent-based approach

Bingkun Chen, Xiaoyue Cathy Liu, Zhuo Chen, Nan Zheng, Qijie Xiao
article en
15 citations

Abstract

Mobile charging service (MCS) has emerged as a cost-efficient solution to compensate for the limitations of fixed charging stations (FCSs) in service capacity and coverage. Nevertheless, the impacts of incorporating the MCS into the charging infrastructure network have not been well understood. Therefore, this study introduces an exhaustive framework for devising Agent-based Modeling (ABM) to delineate electric vehicle (EV) drivers' daily travels and charging behaviors within the integrated charging network. Specifically, the developed ABM framework encompasses both internal attributes of individuals and external variables of charging and transport networks that potentially shape EV drivers’ public charging decisions. It generates authentic daily charging demands for FCSs and MCSs and provides a streamlined process to further incorporate more charging modes into the EV charging ecosystem. Subsequently, we opted for the Salt Lake City metropolitan area to implement our framework and showcase the effectiveness of MCS integration on the charging network over various EV adoption levels and network settings. The findings of the designed case study unravel the choice patterns of EV drivers when facing diverse charging options and pinpoint the strengths and weaknesses of MCS incorporating into the urban charging network at different stages.

Renewable EnergyVol. 234
University of Utah (US), Monash University (AU)
Sustainable cities and communities
Openalex Percentile: Top 8%
Electric Vehicles and Infrastructure
3.13
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