
Battery Degradation Dataset - LGM50 Calendar Aging Study This repository contains an experimental dataset used in the research article: “Lithium-Ion Battery Degradation Modelling Using Universal Differential Equations: Development of a Cost-Effective Parameterisation Methodology, Kuzhiyil et al., Applied Energy, 2025, https://doi.org/10.1016/j.apenergy.2024.125221”. Please cite this article if you are using this dataset. Dataset Overview The dataset presents comprehensive calendar aging data collected from commercial LGM50 lithium-ion cells under controlled storage conditions: • Storage Temperatures: 0°C, 25°C, and 45°C• State of Charge (SOC): 13 distinct levels per temperature condition• Test Duration: Two-years per condition (on average). The dataset consists of MATLAB (.mat) files containing cell cycling results from Reference Performance Tests (RPTs) conducted throughout the aging study.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
