Performance Evaluation of Battery Swapping Stations for EVs: A Multi-Method Simulation Approach DOI Creative Commons
Maria Grazia Marchesano, Valentina Popolo, Anastasiia Rozhok

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(23), P. 5969 - 5969

Published: Nov. 27, 2024

This study presents an optimisation framework for operating a battery swapping station (BSS) to enhance efficiency and sustainability in electric vehicle (EV) infrastructure. A hybrid modelling approach combines agent-based discrete event simulation linear programming model the dynamic behaviour of batteries operational processes within BSS. The considers factors such as charging speed, degradation, grid power constraints, customer behaviour, range anxiety. simulates interaction between vehicles, batteries, station, capturing stochastic nature EVs’ arrivals demand with simulation. component optimises state transitions minimise degradation ensure that is met while respecting limits grid. Different types are considered based on category, each specific capacity usage patterns, reflecting real-world market conditions. results demonstrate proposed can effectively manage complex needs balances service quality resource by employing strategic mix modes inventory management, reducing costs. supports more sustainable EV infrastructure, highlighting BSS viable solution operations. Furthermore, analysis highlights critical role determining strategies their impact efficiency. findings suggest optimised operations, play accelerating adoption EVs offering faster, reliable, alternative.

Language: Английский

Stochastic Modeling of Electric Vehicle Infrastructure Using Queueing-Theoretical Approach DOI Creative Commons
Shreekant Varshney, Kaibalya Prasad Panda, Mayank Gupta

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104149 - 104149

Published: Jan. 1, 2025

Language: Английский

Citations

0
Optimizing Highway Electric Vehicle Scheduling and Battery Swapping Station Management for Enhanced Renewable Energy Utilization DOI Open Access
Dawei Wang, Hongke Xu,

Jingwei Guo

et al.

Electronics, Journal Year: 2025, Volume and Issue: 14(5), P. 952 - 952

Published: Feb. 27, 2025

The separation of battery charging and swapping processes enables highway operators to more flexibly manage the recharging depleted batteries at stations (BSSs), while also leveraging renewable energy (RE) resources lower electricity costs. However, previous studies have not addressed connection between BSS strategies demand for fully charged batteries, which is determined by EV schemes. To address this gap, paper proposes a joint optimization approach scheduling EVs managing BSSs, considering RE generation along highway. Specifically, spatial-temporal network model developed represent transportation-energy characteristics EVs, incorporating selection processes. Additionally, management formulated plan ensure availability meet demands EVs. Lagrange relaxation algorithm employed handle interaction operations. A case study shows that method effectively coordinates schemes with strategies, resulting in 17.3% improvement utilization reduction grid consumption RMB 1753.8.

Language: Английский

Citations

0
Co-construction strategy of battery swapping stations and charging piles in China DOI
Bingchun Liu, Xu Gao, Ying Wang

et al.

Transport Policy, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0
Performance Evaluation of Battery Swapping Stations for EVs: A Multi-Method Simulation Approach DOI Creative Commons
Maria Grazia Marchesano, Valentina Popolo, Anastasiia Rozhok

et al.

Energies, Journal Year: 2024, Volume and Issue: 17(23), P. 5969 - 5969

Published: Nov. 27, 2024

This study presents an optimisation framework for operating a battery swapping station (BSS) to enhance efficiency and sustainability in electric vehicle (EV) infrastructure. A hybrid modelling approach combines agent-based discrete event simulation linear programming model the dynamic behaviour of batteries operational processes within BSS. The considers factors such as charging speed, degradation, grid power constraints, customer behaviour, range anxiety. simulates interaction between vehicles, batteries, station, capturing stochastic nature EVs’ arrivals demand with simulation. component optimises state transitions minimise degradation ensure that is met while respecting limits grid. Different types are considered based on category, each specific capacity usage patterns, reflecting real-world market conditions. results demonstrate proposed can effectively manage complex needs balances service quality resource by employing strategic mix modes inventory management, reducing costs. supports more sustainable EV infrastructure, highlighting BSS viable solution operations. Furthermore, analysis highlights critical role determining strategies their impact efficiency. findings suggest optimised operations, play accelerating adoption EVs offering faster, reliable, alternative.

Language: Английский

Citations

1