Modelling and Integration Analysis of High-Power Charging Stations Equipped with a MWh Scale Battery Bank

The rapid adoption of electric vehicles (EVs) has led to a growing demand for fast-charging infrastructure. Such infrastructure in turn poses significant challenges to existing power grids due to high instantaneous power demands. Battery banks can be used as a buffer in a charging station to mitigate the pressure on the grid. This paper develops a method to model and analyze high-power charging stations equipped with a battery bank as energy storage, aiming to support grid stability and maximize economic benefits. Specifically, the study answers (i) how to effectively integrate a high-power battery bank into a high-power charging station, and (ii) how key parameters influence the integration from both operation and economy points of view. Modelled and simulated in MATLAB/Simulink, the proposed approach calculates and analyzes power flow among the grid, the battery bank, and EV batteries, relying on real-time load profiles and battery state-of-charge thresholds. Simulation results show that 1) storing low-cost off-peak energy and 2) discharging of the battery bank during peak grid load periods significantly reduce grid dependency and increase operational profits for the charging station. A parameter-based analysis illustrates that larger battery bank capacities, wider state-of-charge ranges, and narrower grid-load-variation bands benefit both the charging station owner and grid operator.

Authors

Institutions

Publication Details

Published
2025-10-14
DOI
https://doi.org/10.1109/iecon58223.2025.11221796
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Modelling and Integration Analysis of High-Power Charging Stations Equipped with a MWh Scale Battery Bank

Dong Liu, Lassi Aarniovuori, Ayesha Akhtar, Ahmed Abdeen
Electric Vehicles and Infrastructure
article

Modelling and Integration Analysis of High-Power Charging Stations Equipped with a MWh Scale Battery Bank

Dong Liu, Lassi Aarniovuori, Ayesha Akhtar, Ahmed Abdeen
article en

Abstract

The rapid adoption of electric vehicles (EVs) has led to a growing demand for fast-charging infrastructure. Such infrastructure in turn poses significant challenges to existing power grids due to high instantaneous power demands. Battery banks can be used as a buffer in a charging station to mitigate the pressure on the grid. This paper develops a method to model and analyze high-power charging stations equipped with a battery bank as energy storage, aiming to support grid stability and maximize economic benefits. Specifically, the study answers (i) how to effectively integrate a high-power battery bank into a high-power charging station, and (ii) how key parameters influence the integration from both operation and economy points of view. Modelled and simulated in MATLAB/Simulink, the proposed approach calculates and analyzes power flow among the grid, the battery bank, and EV batteries, relying on real-time load profiles and battery state-of-charge thresholds. Simulation results show that 1) storing low-cost off-peak energy and 2) discharging of the battery bank during peak grid load periods significantly reduce grid dependency and increase operational profits for the charging station. A parameter-based analysis illustrates that larger battery bank capacities, wider state-of-charge ranges, and narrower grid-load-variation bands benefit both the charging station owner and grid operator.

Lappeenranta-Lahti University of Technology (FI)
Openalex Percentile: Top 67%
Electric Vehicles and Infrastructure
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.