2026-10-12T07:53:03Zhttps://www.radar-service.eu/oai/OAIHandler10.35097/19692026-10-09T10:49:15Zradar4kit
https://dx.doi.org/10.35097/1969
Luh, Matthias
Blank, Thomas
Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset – version 2: result data]
Karlsruhe Institute of Technology
2024
Computer Science
dataset
Dataset
info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/legalcode
Battery degradation is critical to the cost-effectiveness and usability of battery-powered products. Aging studies can help to better understand and model degradation and to optimize the operation strategy. Nevertheless, there are only a few comprehensive and freely available aging datasets for these applications.
To our knowledge, the dataset presented in the following is one of the largest published to date. It contains data from 228 commercial NMC/C+SiO lithium-ion cells aged for almost 600 days under a wide range of operating conditions. We investigate calendar and cyclic aging and also apply different driving cycles to some of the cells.
This dataset is an update to the dataset previously published under the DOI 10.35097/1947 and described in the publication with the DOI 10.1038/s41597-024-03831-x. This dataset only includes result data (capacity, impedance, and pulse resistance measurements). The log data is published under the DOI 10.35097/kww7jv8ajuvchcah.
Version 1 of the dataset [1] is described in detail in [2] and Chapter 7.1 of [3]. The differences between version 1 and version 2 (this dataset) are described in the "Readme" file included in this dataset.
[1] Luh, M., Blank, T. Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell [dataset]. RADAR4KIT, 2024, DOI 10.35097/1947
[2] Luh, M., Blank, T. Comprehensive battery aging dataset: capacity and impedance fade measurements of a lithium-ion NMC/C-SiO cell. Sci Data 11, 1004 (2024). https://doi.org/10.1038/s41597-024-03831-x
[3] Luh, M.: Bidirectional Charging Systems and Battery Lifetime Modeling for Vehicle-to-Grid Applications, dissertation, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany, 2024, DOI: 10.5445/IR/1000174456
lithium-Ion
batteries
battery degradation
battery aging
battery ageing
battery
data
cycling data
electrochemical impedance spectroscopy (EIS)
High Power Pulse Charging (HPPC)
battery lifetime
NMC
NCM
silicon anode
NMC/C-SiO
battery degradation dataset
battery impedance
capacity fade
power fade
lithium plating
lithium stripping
https://publikationen.bibliothek.kit.edu/1000169196
application/x-tar