Research Data:
Database of Lithium-Ion Battery Aging: Degradation Modes, Electrode Resistance Rise, and Impedance

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datacite.resourcetypeBattery Aging Data
dc.contributor.authorHofmann Tobias
dc.contributor.authorSayilgan Cem
dc.contributor.authorDuesdieker Marco
dc.contributor.authorHamar Jacob
dc.contributor.authorSturm Johannes
dc.contributor.authorErhard Simon
dc.contributor.authorJossen Andreas
dc.contributor.authorSchmidt Jan Philipp
dc.contributor.contactpersonSchmidt Jan Philipp
dc.contributor.contactpersonHofmann Tobias
dc.contributor.supervisorSchmidt Jan Philipp
dc.date.accessioned2026-06-25T11:56:14Z
dc.date.available2026-06-25T11:56:14Z
dc.date.issued2026-06-25
dc.description.abstractAccurate modeling of lithium-ion batteries (LiBs) benefits from detailed knowledge of degradation modes (DMs) and electrode impedance rise, information that is currently unavailable as an open-access dataset. This work presents a comprehensive three-electrode NMC-graphite LiB aging study conducted over nine months, including eleven checkups. Each checkup comprises pseudo-open-circuit voltage measurements, hybrid pulse power characterization, and electrochemical impedance spectroscopy at varying states of charge and temperature. The published dataset not only includes raw data but also provides labels and evaluation scripts for DMs, electrode resistance, impedance, and equivalent circuit model parameters. This dataset is poised to accelerate the development of advanced battery models and fast-charging strategies and can serve as a robust validation dataset for data-driven models. Notably, this dataset is the longest-lasting and most comprehensive, including three-electrode configurations, making it an invaluable resource for researchers and engineers in the field of battery technology.en_US
dc.identifier.urihttps://rdspace.uni-bayreuth.de/handle/rdspace-ubt/963
dc.identifier.urihttps://doi.org/10.57880/rdspace-ubt-54
dc.identifier.urihttps://doi.org/10.57880/rdspace-ubt-54
dc.language.isoen_US
dc.rights.licenseCreative Commons Attribution Share Alike 4.0 International
dc.rights.spdx-idCC-BY-SA-4.0
dc.rights.urihttps://spdx.org/licenses/CC-BY-SA-4.0.html
dc.subjectBattery Aging
dc.subjectThree-Electrode Setup
dc.subjectDegradation Modes
dc.subjectImpedance
dc.subjectEIS
dc.subject.dfg4 Engineering Sciences
dc.subject.dfg4 Engineering Sciences :: 44 Informatics, Systems and Electrical Engineering
dc.subject.dfg4 Engineering Sciences :: 44 Informatics, Systems and Electrical Engineering :: 408 Electrical Engineering and Information Technology
dc.subject.dfg4 Engineering Sciences :: 44 Informatics, Systems and Electrical Engineering :: 408 Electrical Engineering and Information Technology :: 408-03 Electrical Energy Generation, Distribution, Application
dc.subject.openaire02 engineering and technology
dc.subject.openaire02 engineering and technology :: 0202 electrical engineering, electronic engineering, in
dc.subject.openaire02 engineering and technology :: 0202 electrical engineering, electronic engineering, in :: 020209 energy
dc.titleDatabase of Lithium-Ion Battery Aging: Degradation Modes, Electrode Resistance Rise, and Impedanceen_US
dc.typeDataset
dspace.entity.typeResearchData
local.assignedto.departmentChair of Electrical Energy Storage Technology (EES), Department of Energy and Process Engineering, TUM School of Engineering and Design
local.assignedto.facultyUniversity of Bayreuth > Faculty of Engineering Science > Fakultät für Ingenieurwissenschaften
local.assignedto.professorshipProfessorship of Systems Engineering for Electrical Energy Storage > Professur für Systemtechnik elektrischer Energiespeicher
local.assignedto.universityUniversity of BayreuthnullUniversität Bayreuth
local.assignedto.universityTechnical University Munich
local.isreferencedby.doihttps://doi.org/10.15495/EPub_UBT_00008980
local.retention.typepublication
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