Numerical and Experimental Analysis of Photovoltaic-Integrated Energy Storage System for Electric Vehicle Fast Charging

Electric vehicles (EVs) have emerged as a pivotal technology for environmental protection, driving the development of battery energy storage systems (BESS) for sustainable charging solutions in smart cities. This paper investigates the implementation of BESS in smart cities to facilitate the chargin...

Full description

Saved in:
Bibliographic Details
Main Authors: Furkan Dincer, Emre Ozer
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/11084773/
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849254277522915328
author Furkan Dincer
Emre Ozer
author_facet Furkan Dincer
Emre Ozer
author_sort Furkan Dincer
collection DOAJ
description Electric vehicles (EVs) have emerged as a pivotal technology for environmental protection, driving the development of battery energy storage systems (BESS) for sustainable charging solutions in smart cities. This paper investigates the implementation of BESS in smart cities to facilitate the charging of EVs, with the aim of improving air quality and promoting sustainable practices. The proposed model involves the selection of seven distinct EV models, each with varying battery capacities and ranges. The model has been developed further by the addition of an annual travel scenario, in which EVs are assumed to be used for daily commuting activities, such as work, school and travel based on family usage profiles. Charging EVs is facilitated by DC fast-charging units, with the charging stations themselves being equipped with BESS capable of charging up to 70 EVs on a daily basis. Proposed BESS is connected to a grid that utilizes electricity generated by a solar power plant (SPP). The SPP has been experimentally designed to generate sufficient electricity to power 10 charging points, with a capacity of up to 700 EVs per day. Thus, a single SPP installation is capable of supplying the entire network of 10 fast-charging stations deployed across the city. Furthermore, a detailed assessment of different state of charge analysis (95–70%) shows a trade-off between battery life and flexibility. The system is economically viable (8.06 years payback) and enables up to 1,518 tons/year CO2 reduction.
format Article
id doaj-art-fc17bf16ae664f64a3b9c0d1952f3af3
institution Kabale University
issn 2169-3536
language English
publishDate 2025-01-01
publisher IEEE
record_format Article
series IEEE Access
spelling doaj-art-fc17bf16ae664f64a3b9c0d1952f3af32025-08-20T03:56:04ZengIEEEIEEE Access2169-35362025-01-011312912712914210.1109/ACCESS.2025.359046811084773Numerical and Experimental Analysis of Photovoltaic-Integrated Energy Storage System for Electric Vehicle Fast ChargingFurkan Dincer0https://orcid.org/0000-0001-6787-0850Emre Ozer1https://orcid.org/0000-0001-5881-2253Department of Electrical and Electronics Engineering, Kahramanmaraş Sütçü İmam University, Kahramanmaraş, TürkiyeDepartment of Electrical and Electronics Engineering, Kahramanmaraş Sütçü İmam University, Kahramanmaraş, TürkiyeElectric vehicles (EVs) have emerged as a pivotal technology for environmental protection, driving the development of battery energy storage systems (BESS) for sustainable charging solutions in smart cities. This paper investigates the implementation of BESS in smart cities to facilitate the charging of EVs, with the aim of improving air quality and promoting sustainable practices. The proposed model involves the selection of seven distinct EV models, each with varying battery capacities and ranges. The model has been developed further by the addition of an annual travel scenario, in which EVs are assumed to be used for daily commuting activities, such as work, school and travel based on family usage profiles. Charging EVs is facilitated by DC fast-charging units, with the charging stations themselves being equipped with BESS capable of charging up to 70 EVs on a daily basis. Proposed BESS is connected to a grid that utilizes electricity generated by a solar power plant (SPP). The SPP has been experimentally designed to generate sufficient electricity to power 10 charging points, with a capacity of up to 700 EVs per day. Thus, a single SPP installation is capable of supplying the entire network of 10 fast-charging stations deployed across the city. Furthermore, a detailed assessment of different state of charge analysis (95–70%) shows a trade-off between battery life and flexibility. The system is economically viable (8.06 years payback) and enables up to 1,518 tons/year CO2 reduction.https://ieeexplore.ieee.org/document/11084773/Electric vehicles chargingcharging stationsphotovoltaicsbattery energy storage systembattery degradationlow-carbon mobility
spellingShingle Furkan Dincer
Emre Ozer
Numerical and Experimental Analysis of Photovoltaic-Integrated Energy Storage System for Electric Vehicle Fast Charging
IEEE Access
Electric vehicles charging
charging stations
photovoltaics
battery energy storage system
battery degradation
low-carbon mobility
title Numerical and Experimental Analysis of Photovoltaic-Integrated Energy Storage System for Electric Vehicle Fast Charging
title_full Numerical and Experimental Analysis of Photovoltaic-Integrated Energy Storage System for Electric Vehicle Fast Charging
title_fullStr Numerical and Experimental Analysis of Photovoltaic-Integrated Energy Storage System for Electric Vehicle Fast Charging
title_full_unstemmed Numerical and Experimental Analysis of Photovoltaic-Integrated Energy Storage System for Electric Vehicle Fast Charging
title_short Numerical and Experimental Analysis of Photovoltaic-Integrated Energy Storage System for Electric Vehicle Fast Charging
title_sort numerical and experimental analysis of photovoltaic integrated energy storage system for electric vehicle fast charging
topic Electric vehicles charging
charging stations
photovoltaics
battery energy storage system
battery degradation
low-carbon mobility
url https://ieeexplore.ieee.org/document/11084773/
work_keys_str_mv AT furkandincer numericalandexperimentalanalysisofphotovoltaicintegratedenergystoragesystemforelectricvehiclefastcharging
AT emreozer numericalandexperimentalanalysisofphotovoltaicintegratedenergystoragesystemforelectricvehiclefastcharging