Foundation for adaptive charging solutions: Optimised use of electric vehicle charging capacity

Abstract As electric vehicles (EVs) are emerging, smart and adaptive charging algorithms have become necessary to ensure safe and efficient operation of the grid. In the scientific literature, most of the proposed charging control algorithms focus solely on EV usage‐related behaviour, while the char...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Toni Simolin, Kalle Rauma, Antti Rautiainen, Pertti Järventausta, Christian Rehtanz
Formato: article
Lenguaje:EN
Publicado: Wiley 2021
Materias:
Acceso en línea:https://doaj.org/article/3d9b9ec4839647daaff3d0e350dc9a2e
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:3d9b9ec4839647daaff3d0e350dc9a2e
record_format dspace
spelling oai:doaj.org-article:3d9b9ec4839647daaff3d0e350dc9a2e2021-11-13T03:16:47ZFoundation for adaptive charging solutions: Optimised use of electric vehicle charging capacity2515-294710.1049/stg2.12043https://doaj.org/article/3d9b9ec4839647daaff3d0e350dc9a2e2021-12-01T00:00:00Zhttps://doi.org/10.1049/stg2.12043https://doaj.org/toc/2515-2947Abstract As electric vehicles (EVs) are emerging, smart and adaptive charging algorithms have become necessary to ensure safe and efficient operation of the grid. In the scientific literature, most of the proposed charging control algorithms focus solely on EV usage‐related behaviour, while the charging characteristics of EVs are overlooked. Herein, realistic charging characteristics are illustrated and discussed. More notably, to overcome the issues caused by the non‐idealities in charging characteristics, a new adaptive charging characteristics expectation algorithm is proposed. The objective of this algorithm is to enable accurate estimation of the non‐ideal charging characteristics. This can be used to reallocate any unused charging capacity and to ensure that the intended total capacity is used effectively. The effectiveness of the proposed algorithm is demonstrated using hardware‐in‐the‐loop simulations with commercial EVs and real charging data. The results show that the proposed algorithm achieves an 88%–97% capacity usage rate, while the current benchmark solution achieves only 45%.Toni SimolinKalle RaumaAntti RautiainenPertti JärventaustaChristian RehtanzWileyarticleElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIET Smart Grid, Vol 4, Iss 6, Pp 599-611 (2021)
institution DOAJ
collection DOAJ
language EN
topic Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Toni Simolin
Kalle Rauma
Antti Rautiainen
Pertti Järventausta
Christian Rehtanz
Foundation for adaptive charging solutions: Optimised use of electric vehicle charging capacity
description Abstract As electric vehicles (EVs) are emerging, smart and adaptive charging algorithms have become necessary to ensure safe and efficient operation of the grid. In the scientific literature, most of the proposed charging control algorithms focus solely on EV usage‐related behaviour, while the charging characteristics of EVs are overlooked. Herein, realistic charging characteristics are illustrated and discussed. More notably, to overcome the issues caused by the non‐idealities in charging characteristics, a new adaptive charging characteristics expectation algorithm is proposed. The objective of this algorithm is to enable accurate estimation of the non‐ideal charging characteristics. This can be used to reallocate any unused charging capacity and to ensure that the intended total capacity is used effectively. The effectiveness of the proposed algorithm is demonstrated using hardware‐in‐the‐loop simulations with commercial EVs and real charging data. The results show that the proposed algorithm achieves an 88%–97% capacity usage rate, while the current benchmark solution achieves only 45%.
format article
author Toni Simolin
Kalle Rauma
Antti Rautiainen
Pertti Järventausta
Christian Rehtanz
author_facet Toni Simolin
Kalle Rauma
Antti Rautiainen
Pertti Järventausta
Christian Rehtanz
author_sort Toni Simolin
title Foundation for adaptive charging solutions: Optimised use of electric vehicle charging capacity
title_short Foundation for adaptive charging solutions: Optimised use of electric vehicle charging capacity
title_full Foundation for adaptive charging solutions: Optimised use of electric vehicle charging capacity
title_fullStr Foundation for adaptive charging solutions: Optimised use of electric vehicle charging capacity
title_full_unstemmed Foundation for adaptive charging solutions: Optimised use of electric vehicle charging capacity
title_sort foundation for adaptive charging solutions: optimised use of electric vehicle charging capacity
publisher Wiley
publishDate 2021
url https://doaj.org/article/3d9b9ec4839647daaff3d0e350dc9a2e
work_keys_str_mv AT tonisimolin foundationforadaptivechargingsolutionsoptimiseduseofelectricvehiclechargingcapacity
AT kallerauma foundationforadaptivechargingsolutionsoptimiseduseofelectricvehiclechargingcapacity
AT anttirautiainen foundationforadaptivechargingsolutionsoptimiseduseofelectricvehiclechargingcapacity
AT perttijarventausta foundationforadaptivechargingsolutionsoptimiseduseofelectricvehiclechargingcapacity
AT christianrehtanz foundationforadaptivechargingsolutionsoptimiseduseofelectricvehiclechargingcapacity
_version_ 1718430309808078848