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Document type:
Forschungsdaten
Publication date:
13.09.2023
Responsible:
Ank, Manuel
Authors:
Ank, Manuel; Brehler, Tobias; Lienkamp, Markus
Author affiliation:
TUM
Publisher:
TUM
Title:
Measurement data and simulation model for wire bond defect identification in battery modules
Identifier:
doi:10.14459/2023mp1715739
End date of data production:
01.05.2023
Subject area:
ERG Energietechnik, Energiewirtschaft; FER Fertigungstechnik
Resource type:
Experimente und Beobachtungen / experiments and observations; Simulationen / simulations
Data type:
mehrdimensionale Visualisierungen oder Modelle / models; Tabellen / tables; Datenbanken / data bases
Description:
This data set contains measurement data from four 21700 automotive grade battery cells as well as module level investigations (10s30p topology). Furthermore, the parameter identification scripts, the test procedures and the simulation model are provided.
For cell specifications and detailed information, please refer to the linked article. All measurement data are provided as .txt files.
Method of data assessment:
For instructions on the individual experiments please refer to the linked article. The measurement data was recorded using a BioLogic SAS BCS-815 battery cycler system (cell level), a BioLogic SAS VSP-3e potentiostat connected to a BioLogic SAS FlexP0060 Booster (module level) as well as a BaSyTec MRS 3-70V battery cycler system (module level). The proprietary data was subsequently converted to the .txt format.
Links:

This dataset relates to the publication: https://doi.org/10.1016/j.etran.2023.100284

Key words:
Defect detection; Wire bond; Lithium-ion; Lucid Air; Differential voltage analysis; Electric vehicle
Technical remarks:
View and download (2 GB total, 78 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1715739):
rsync rsync://m1715739@dataserv.ub.tum.de/m1715739/
Language:
en
Rights:
by, http://creativecommons.org/licenses/by/4.0
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