TY - JOUR
T1 - Assessing the influence of electric vehicle charging profile modelling methods
AU - Simolin, Toni
AU - Järventausta, Pertti
AU - Rauma, Kalle
AU - Rehtanz, Christian
N1 - Funding Information:
The authors would like to thank IGL Technologies for providing the charging data. This work was supported by the LIFE Programme of the European Union (LIFE17 IPC/FI/000002 LIFE‐IP CANEMURE‐FINLAND). The work reflects only the author's view, and the EASME/Commission is not responsible for any use that may be made of the information it contains. The work of Toni Simolin was supported by a grant from Emil Aaltosen Säätiö sr. Kalle Rauma would like to thank the German Federal Ministry of Transport and Digital Infrastructure for its support through the project PuLS – Parken und Laden in der Stadt (03EMF0203B).'
PY - 2022/4/30
Y1 - 2022/4/30
N2 - In the scientific literature, it has been a common assumption that electric vehicles (EVs) draw a constant current during the whole charging session. In reality, EV charging profiles are not linear, and the non-linearities have recently gained more attention. However, a thorough analysis of the influences of different charging profile modelling methods is not yet carried out. This paper aims to fill this gap by comparing experimental measurements of four commercial EVs and results of a developed simulation model that considers different charging profile modelling methods. According to the results, the use of linear charging profiles may lead to notable modelling inaccuracies (error > 30%) whereas the use of measurement-based non-linear charging profile models yields relatively accurate results (error mostly ≤ 3.5%). The results also demonstrate that the use of a simple, but justified, bilinear charging profile model is likely to be sufficiently accurate in most scenarios.
AB - In the scientific literature, it has been a common assumption that electric vehicles (EVs) draw a constant current during the whole charging session. In reality, EV charging profiles are not linear, and the non-linearities have recently gained more attention. However, a thorough analysis of the influences of different charging profile modelling methods is not yet carried out. This paper aims to fill this gap by comparing experimental measurements of four commercial EVs and results of a developed simulation model that considers different charging profile modelling methods. According to the results, the use of linear charging profiles may lead to notable modelling inaccuracies (error > 30%) whereas the use of measurement-based non-linear charging profile models yields relatively accurate results (error mostly ≤ 3.5%). The results also demonstrate that the use of a simple, but justified, bilinear charging profile model is likely to be sufficiently accurate in most scenarios.
UR - http://www.scopus.com/inward/record.url?scp=85129138729&partnerID=8YFLogxK
U2 - 10.1049/gtd2.12494
DO - 10.1049/gtd2.12494
M3 - Article
JO - IET Generation, Transmission and Distribution
JF - IET Generation, Transmission and Distribution
SN - 1751-8687
ER -