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Open-source data set for characterizing the charging behavior of electric vehicles

Beichter, Sebastian ORCID iD icon 1; Dettki, Marius 2; Beichter, Maximilian ORCID iD icon 1; Galenzowski, Johannes ORCID iD icon 1; Reckel, Jan Martin 2; Pinter, Janik ORCID iD icon 1; Stein, Alexander ORCID iD icon 3; Abel, David 1; Jumar, Richard ORCID iD icon 1; Wiegel, Friedrich ORCID iD icon 1; Waczowicz, Simon ORCID iD icon 1; Mikut, Ralf ORCID iD icon 1; Hagenmeyer, Veit ORCID iD icon 1
1 Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)
2 Karlsruher Institut für Technologie (KIT)
3 Elektrotechnisches Institut (ETI), Karlsruher Institut für Technologie (KIT)

Abstract:

This data publication contains highly frequent measurements for 18 data sets of 16 electrical vehicles (EV) from 12 different manufacturers. It provides information about the charging, the electric vehicle, the charging behaviour and the environment temperature where the charging took place. The measurement data is provided both in low-frequency (LF) and high-frequency (HF) datasets. Each dataset represents an exact point of measurement. It is published with the paper "Open-source data set for characterizing the charging behavior of electric vehicles".

Charging overview and number of measurements

In total, 18 data sets of 16 electrical vehicles (EVs) from 12 manufacturers have been included. The measurements took place from October 28, 2025 to December 02, 2025. A detailed overview of the number of datasets can be obtained from the following table:




Date
Brand
Vehicle type
Number of lf measurements
Number of hf measurements




2025-10-28
Opel
Corsa Electric GS
1,331,504
34,760,000


2025-10-30
VW
e-Golf
1,197,329
125,710,000


2025-11-03
Dacia
Spring
767,515
75,207,650


2025-11-04
... mehr


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Originalveröffentlichung
DOI: 10.5281/zenodo.17866847
Zugehörige Institution(en) am KIT Elektrotechnisches Institut (ETI)
Institut für Automation und angewandte Informatik (IAI)
Publikationstyp Forschungsdaten
Publikationsjahr 2026
Identifikator KITopen-ID: 1000190660
HGF-Programm 37.12.03 (POF IV, LK 01) Smart Areas and Research Platforms
Weitere HGF-Programme 37.12.01 (POF IV, LK 01) Digitalization & System Technology for Flexibility Solutions
37.12.02 (POF IV, LK 01) Design,Operation & Digitalization of the Future Energy Grids
Lizenz Creative Commons Namensnennung 4.0 International
Schlagwörter Electric vehicles, Electric vehicle, electric vehicle supply equipment, charging characteristics, demand response, grid integration, flexibility modeling, open-source data set
Art der Forschungsdaten Dataset
Nachgewiesen in OpenAlex
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