Data · dataset · 2026
A dataset on aging and characterization of Samsung INR21700-50E lithium-ion cells
Listed in e-cienciaDatos
This dataset supports the development of rapid diagnostic protocols for estimating the capacity of Samsung INR21700-50E lithium-ion cells.
Description
It includes controlled aging experiments and extensive multimodal characterization of the cells. A total of 160 brand-new cells were aged under designed charge and discharge strategies at room temperature to generate a representative distribution of capacity values.
Throughout the aging process, time-resolved voltage and current measurements were recorded, along with derived quantities such as power, charge, and energy. Coulomb-counted capacity measurements were performed both prior to and following aging. After aging, the cells underwent further characterization using various diagnostic techniques, including a galvanostatic low-rate (C/48) cycle, static and dynamic electrochemical impedance spectroscopy, electrochemical noise analysis, and short- and long-term current interruption tests.
Read the rest (3 more)
Additionally, six brand-new cells were used as a control group and were not cycled. For a detailed description of the experiments performed, please refer to the associated publication (DOI: XXXXX). (June 30, 2026).
This research is part of the project "Research and Development of a Highly Automated and Safe Streamlined Process for Increased Lithium-Ion Battery Repurposing and Recycling" (REBELION), which is funded by the European Union's Horizon Europe research and innovation programme under grant agreement No 101104241. The views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or CINEA (European Climate, Infrastructure and Environment Executive Agency, European Commission).
Neither the European Union nor the granting authority can be held responsible for them.
Links
Where it is published
- Dataverse dataset page edatos.consorciomadrono.es/dataset.xhtml?persistentId=doi%3A10.21950%2FGT4LKX ↗
landing page · from edatos consorciomadrono es
- DOI doi.org/10.21950/gt4lkx ↗
DOI / persistent id · from edatos consorciomadrono es
Catalogue records · 1
- Dataverse API edatos.consorciomadrono.es/api/datasets/:persistentId/?persistentId=doi%3A10.21950%2FGT4L… ↗
metadata API · from edatos consorciomadrono es
Topics
- Stated by source
- Física · Ingeniería · Química
- From keywords
- Chemistry · Life Sciences
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| e-cienciaDatos | doi:10.21950/GT4LKX | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].dataverse_subject:f-sica | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /subjects |
| concepts[field].dataverse_subject:ingenier-a | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /subjects |
| concepts[field].dataverse_subject:qu-mica | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /subjects |
| concepts[field].local:field:chemistry | mapping · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /subjects |
| concepts[field].local:field:life-sciences | mapping · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /subjects |
| created_date | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | |
| description | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /description |
| publication_date | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | |
| title | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | /name |
| updated_date | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 | |
| version_label | source · edatos consorciomadrono es | connector:edatos_consorciomadrono_es@1.0.0 |