TY - JOUR
T1 - Assessing the influence of the temporal resolution on the electric vehicle charging load modeling accuracy
AU - Simolin, Toni
AU - Rauma, Kalle
AU - Rautiainen, Antti
AU - Järventausta, Pertti
AU - Rehtanz, Christian
N1 - Funding Information:
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 (03EMF0203).
Funding Information:
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 S??ti? 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 (03EMF0203). The authors would like to thank IGL Technologies for providing the charging data and TAMK for providing the household's electricity consumption data.
Publisher Copyright:
© 2022 The Author(s)
PY - 2022/7
Y1 - 2022/7
N2 - In the scientific literature, various temporal resolutions have been used to model electric vehicle charging loads. However, in most studies, the used temporal resolution lacks a proper justification. To provide a strengthened theoretical background for all future studies related to electric vehicle charging load modeling, this paper investigates the influence of temporal resolution in different scenarios. To ensure reliable baselines for the comparisons, hardware-in-the-loop simulations with different commercial electric vehicles are carried out. The conducted hardware-in-the-loop simulations consists of 134 real charging sessions in total. In order to compare the influence of different temporal resolutions, a simulation model is developed. The simulation model utilizes comprehensive preliminary measurement-based charging profiles that can be used to model controlled charging in fine detail. The simulation results demonstrate that the simulation model provides sufficiently accurate results in most cases with a temporal resolution of one second. Conversely, a temporal resolution of 3600 s may lead to a modeling error of 50% or even higher. Additionally, the paper shows that the necessary resolution to achieve a modeling error of 5% or less vary between 1 and 900 s depending on the scenario. However, in most cases, resolution of 60 s is reasonably accurate.
AB - In the scientific literature, various temporal resolutions have been used to model electric vehicle charging loads. However, in most studies, the used temporal resolution lacks a proper justification. To provide a strengthened theoretical background for all future studies related to electric vehicle charging load modeling, this paper investigates the influence of temporal resolution in different scenarios. To ensure reliable baselines for the comparisons, hardware-in-the-loop simulations with different commercial electric vehicles are carried out. The conducted hardware-in-the-loop simulations consists of 134 real charging sessions in total. In order to compare the influence of different temporal resolutions, a simulation model is developed. The simulation model utilizes comprehensive preliminary measurement-based charging profiles that can be used to model controlled charging in fine detail. The simulation results demonstrate that the simulation model provides sufficiently accurate results in most cases with a temporal resolution of one second. Conversely, a temporal resolution of 3600 s may lead to a modeling error of 50% or even higher. Additionally, the paper shows that the necessary resolution to achieve a modeling error of 5% or less vary between 1 and 900 s depending on the scenario. However, in most cases, resolution of 60 s is reasonably accurate.
KW - charging load modeling
KW - electric vehicle
KW - hardware-in-the-loop simulation
KW - modeling accuracy
KW - temporal resolution
UR - http://www.scopus.com/inward/record.url?scp=85126128831&partnerID=8YFLogxK
U2 - 10.1016/j.epsr.2022.107913
DO - 10.1016/j.epsr.2022.107913
M3 - Article
SN - 0378-7796
VL - 208
JO - Electric Power Systems Research
JF - Electric Power Systems Research
M1 - 107913
ER -