Fast charging priority optimization technique for a multi-port EV charging station

Transportation is moving rapidly towards the electrification, with targets and deadlines set by governing bodies. This shift will increase the pressure onto energy regulators, adding to current challenges facing the energy industry. The needs new infrastructure, smart energy solutions and multiple industries to collaborate to support a rapid and reliable transition to electrification of transportation. This paper analyses a fast-charging priority method for electric vehicles, powered by renewable energy with incorporated battery storage system. Priority charging enables users to charge their vehicles fast and efficiently based on their preferences. The inclusion of a renewable energy microgrid reduces the stress onto the transmission and distribution network. To meet the high energy demand during peak period a storage system provides support to the microgrid. The solution is simulated on Simulink. Results illustrate that a controlled charging system can reduce the stress onto the energy industry, satisfy users financial needs and rapidly enable the inclusion of electric vehicles by reducing common problems related to charging timing. With a standalone charging station, the concept of dynamic prices can be introduced, which can change the price for charging according to the power generated dependant on the demand from the charging ports, in real time.

Authors

Institutions

Publication Details

Journal
IET conference proceedings.
Published
2025-03-01
DOI
https://doi.org/10.1049/icp.2024.4583
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

Fast charging priority optimization technique for a multi-port EV charging station

Salma M. S. Alarefi, Mehrdad Saif
IET conference proceedings.
Electric Vehicles and Infrastructure
article

Fast charging priority optimization technique for a multi-port EV charging station

Salma M. S. Alarefi, Mehrdad Saif
article en

Abstract

Transportation is moving rapidly towards the electrification, with targets and deadlines set by governing bodies. This shift will increase the pressure onto energy regulators, adding to current challenges facing the energy industry. The needs new infrastructure, smart energy solutions and multiple industries to collaborate to support a rapid and reliable transition to electrification of transportation. This paper analyses a fast-charging priority method for electric vehicles, powered by renewable energy with incorporated battery storage system. Priority charging enables users to charge their vehicles fast and efficiently based on their preferences. The inclusion of a renewable energy microgrid reduces the stress onto the transmission and distribution network. To meet the high energy demand during peak period a storage system provides support to the microgrid. The solution is simulated on Simulink. Results illustrate that a controlled charging system can reduce the stress onto the energy industry, satisfy users financial needs and rapidly enable the inclusion of electric vehicles by reducing common problems related to charging timing. With a standalone charging station, the concept of dynamic prices can be introduced, which can change the price for charging according to the power generated dependant on the demand from the charging ports, in real time.

IET conference proceedings.Vol. 2024(32)
University of Leeds (GB), National Grid (United Kingdom) (GB)
Openalex Percentile: Top 97%
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.