Unlocking the potential of battery charging and swapping stations: achieving fully flexible operation via B2X and V2X integration

The expansion of battery swapping stations (BSSs) for electric vehicles (EVs) is attracting research interest for their capability to swiftly replace depleted batteries, mitigating range anxiety for EV users, and their potential to supply power to the distribution system (DS). As EV adoption grows,...

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Detalles Bibliográficos
Autores: Güldorum, Hilmi Cihan, Díaz Cachinero, Pablo, Muñoz Delgado, Gregorio, Contreras Sanz, Javier
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universidad de Castilla-La Mancha
Repositorio:RUIdeRA. Repositorio Institucional de la UCLM
OAI Identifier:oai:ruidera.uclm.es:10578/44196
Acceso en línea:https://doi.org/10.1109/tte.2025.3570432
https://hdl.handle.net/10578/44196
Access Level:acceso abierto
Palabra clave:Batteries
Costs
Degradation
Electric potential
Europe
Optimization models
Power system stability
Quality of experience
Vehicle-to-everything
Vehicle-to-grid
Descripción
Sumario:The expansion of battery swapping stations (BSSs) for electric vehicles (EVs) is attracting research interest for their capability to swiftly replace depleted batteries, mitigating range anxiety for EV users, and their potential to supply power to the distribution system (DS). As EV adoption grows, an increase in both BSSs and charging stations (CSs) is anticipated. This study introduces a novel concept for the battery charging and swapping stations (BCSSs) offering both charging and swapping services to EVs, alongside ancillary DS support and a variety of flexibility sources. The proposed mixed-integer linear programming (MILP) model seeks to maximize station owner’s profits by optimizing revenues from EV services and energy sales to the DS, including battery-to-grid (B2G) and vehicle-to-grid (V2G) transactions, while considering costs associated with battery degradation and unmet service requests. The model also contains photovoltaic (PV) generation and enhances EV user satisfaction and station profitability through diverse energy transfer services, such as battery-to-battery (B2B), battery-to-vehicle (B2V), vehicle-to-vehicle (V2V), and vehicle-to-battery (V2B). The proposed model also considers the time-varying electricity tariff. Simulation results over a 24-hour period with 15-minute intervals reveal that the battery-to-everything (B2X) and vehicle-to-everything (V2X) flexibility services significantly improve EV satisfaction and mitigate profit loss during high-demand periods, thus greatly improving station versatility.