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

Toni Simolin*, Kalle Rauma, Antti Rautiainen, Pertti Järventausta, Christian Rehtanz

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

11 Citations (Scopus)

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%.

Original languageEnglish
Pages (from-to)599-611
JournalIET Smart Grid
Volume4
Issue number6
DOIs
Publication statusPublished - Dec 2021
MoE publication typeA1 Journal article-refereed

Funding

This work was supported by the LIFE Programme of the European Union (LIFE17 IPC/FI/000002 LIFE‐IP CANEMURE‐FINLAND). Kalle Rauma would like to thank the support of the German Federal Ministry of Transport and Digital Infrastructure through the project ‘PuLS - Parken und Laden in der Stadt’ (03EMF0203B). The authors would like to thank IGL Technologies for providing charging data and contributing ideas for the work.

Fingerprint

Dive into the research topics of 'Foundation for adaptive charging solutions: Optimised use of electric vehicle charging capacity'. Together they form a unique fingerprint.

Cite this