<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Ultrafast charging station for electrical vehicles: Dynamic modelling, design and control strategy

descriptionPublicationkeyboard_double_arrow_right Article , Journal 01 Jun 2021 Italy Publisher:Elsevier BVJournal:Mathematics and Computers in Simulation, volume 184, pages 225-243 (issn: 0378-4754,

Authors: Iannuzzi D.; Franzese P.;

doi: 10.1016/j.matcom.2020.04.022

handle: 11588/836990

Ultrafast charging station for electrical vehicles: Dynamic modelling, design and control strategy

- Summary
- Subjects
- Metrics

Abstract

Abstract The paper deals with mathematical modelling and the control system for UltraFast Charging Stations (UFCS) based on DC micro-grid concept and Energy Storage System Integration to feed new Electrical Vehicles (EVs) at 800V DC in order to reach the EVs power requirement for charge-time less than 10 min. The UFCS integrates a battery energy storage system (BESS) to reduce the peak power of AC main grid, decoupling the dynamics of the DC charging station from the AC grid by means of its dedicated control system. Designing procedure and Control Strategy, based on Load Levelling power management, are dealt with numerical simulation results in Matlab-Simulink software, presented in order to verify UFCS performance and the charging station’s dynamics.

Country

Italy

Related Organizations

University Federico II of Naples
Italy

Keywords

UltraFast charging, Modelling, BESS; Control; Electrical vehicles; Modelling; UltraFast charging, Electrical vehicles, Control, BESS

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	25
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%