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Assessing the influence of the temporal resolution on the electric vehicle charging load modeling accuracy

  • Toni Simolin*
  • , Kalle Rauma
  • , Antti Rautiainen
  • , Pertti Järventausta
  • , Christian Rehtanz
  • *Corresponding author for this work

    Research output: Contribution to journalArticleScientificpeer-review

    Abstract

    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.
    Original languageEnglish
    Article number107913
    JournalElectric Power Systems Research
    Volume208
    DOIs
    Publication statusPublished - Jul 2022
    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). 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).

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    Keywords

    • charging load modeling
    • electric vehicle
    • hardware-in-the-loop simulation
    • modeling accuracy
    • temporal resolution

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