Open-source data set for characterizing the charging behavior ...

Open-source data set for characterizing the charging behavior ...
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Open-source data set for characterizing the charging behavior of electric vehicles
Beichter, Sebastian
Dettki, Marius
Beichter, Maximilian
Galenzowski, Johannes
Reckel, Jan Martin
Pinter, Janik
Stein, Alexander
Abel, David
Jumar, Richard
Wiegel, Friedrich
Waczowicz, Simon
Mikut, Ralf
Hagenmeyer, Veit
Institut für Automation und angewandte Informatik (IAI), Karlsruher Institut für Technologie (KIT)
Karlsruher Institut für Technologie (KIT)
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
Audi
Q4 35 e-tron
1,442,506
151,463,150
2025-11-05
Renault
Zoe
1,396,852
146,670,000
2025-11-06
VW
iD.3
1,392,367
146,198,450
2025-11-07
Nissan
Leaf (ZE1)
1,177,937
123,709,430
2025-11-11
Tesla
Model 3
1,054,758
110,749,450
2025-11-13
MG
4 Luxury
4,296,133
451,093,950
2025-11-14
VW
e-Up!
1,182,875
124,201,900
2025-11-17
Opel
Mokka
1,610,711
186,990,000
2025-11-18
Mini
Cooper E
282,356
30,187,300
2025-11-20
Hyundai
Ioniq 5
2,042,800
239,355,000
2025-11-24
MG
4 Luxury
1,796,051
188,585,350
2025-11-26
KIA
EV6
1,366,135
143,444,200
2025-11-28
Hyundai
Inster
601,559
63,163,650
2025-12-01
KIA
EV6
615,483
64,625,650
2025-12-02
Smart
EQ fortwo
923,020
96,917,150
24,474,687
2,502,695,871
Data format
The data are provided in three formats:
CSV files with default comma-separated values, headers in the first line, uncompressed, and in UTF-8 format (*.csv) - due to the size of the dataset, we only provide a limited amount of data as CSV.
CSV files with default comma-separated values, headers in the first line, gz-compressed, and in UTF-8 format (*.csv.gz) - due to the size of the dataset, we only provide a limited amount of data as compressed CSV.
Apache Parquet files containing highly compressed time series data (*.parquet), equivalent to CSV files for importing into a Database such as DuckDB (recommended approach).
Data tables
The following tables are provided:
Charging overview
File: charging.csv, charging.parqet,
Contains a list of all charging data sets, referencing the date and the car.
Field Name
Format
Description
charging_uuid
String with UUID v4
The UUID of the charging data set, used as the primary key for identification in all other tables
date
date in YYYY-MM-DD format
The date on which the charging session took place
car_brand
String
The name of the brand of the EV
car_model
String
The name of the model of the EV
car_battery_size
Float (or NULL)
The size of the battery if known in kWh
Low-frequency (lf) EV charging data set
File: ev-charging_lf.csv.gz, ev-charging_lf.parquet
Description: Includes all low-frequency measurements of the cars that are involved in the data publication.
Field Name
Format
Unit
Description
charging_uuid
String with UUID v4
The UUID of the charging data set, more information can be obtained from the charging table.
timestamp_ns
Unsigned Integer
The UNIX timestamp in nanoseconds
u_l1_v
Float
The measured voltage of the first phase in V
u_l2_v
Float
The measured voltage of the second phase in V
u_l3_v
Float
The measured voltage of the third phase
i_l1_a
Float
The measured amperage of the first phase
i_l2_a
Float
The measured amperage of the second phase
i_l3_a
Float
The measured amperage of the third phase
p_l1_w
Float
The calculated performance of the first phase
p_l2_w
Float
The calculated performance of the second phase
p_l3_w
Float
The calculated performance of the third phase
q_l1_var
Float
Var
The calculated reactive power of the first phase
q_l2_var
Float
Var
The calculated reactive power of the second phase
q_l3_var
Float
Var
The calculated reactive power of the third phase
s_l1_va
Float
VA
The calculated apparent power of the first phase
s_l2_va
Float
VA
The calculated apparent power of the second phase
s_l3_va
Float
VA
The calculated apparent power of the third phase
phi_l1
Float
The calculated phase angle of the first phase
phi_l1
Float
The calculated phase angle of the second phase
phi_l1
Float
The calculated phase angle of the third phase
soc_percent
Float
The measured state of charge of the battery
setpoint_a
Float
The setpoint of the current timestamp
High-frequency (hf) EV charging data set
File: ev-charging_hf.parquet
Description: Includes all high-frequency measurements of the cars that are involved in the data publication.
Field name
Format
Unit
Description
charging_uuid
String with UUID v4
The UUID of the charging data set, more information can be obtained from the Charging table.
timestamp_ns
Unsigned Integer
The UNIX timestamp in nanoseconds
u_l1_v
Float
The measured voltage of the first phase in V
u_l2_v
Float
The measured voltage of the second phase in V
u_l3_v
Float
The measured voltage of the third phase
i_l1_a
Float
The measured amperage of the first phase
i_l2_a
Float
The measured amperage of the second phase
i_l3_a
Float
The measured amperage of the second phase
setpoint_a
Float
The setpoint of the current timestamp
Environment temperature
File: temperature.csv; temperature.parquet
Description: Contains the environment temperature next to the measuring location (KIT Campus Nord in Eggenstein-Leopoldshafen, Germany).
Field name
Format
Description
Time
Unix-Timestamp
The timestamp of the measurement time
Temperature
Float
The measured temperature in Celsius (°C)
Externe Links
Originalveröffentlichung
DOI: 10.5281/zenodo.17866847
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Statistiken
Seitenaufrufe: 130
seit 16.02.2026
auf
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
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