Lithium-Ion Battery Degradation Data Under Multiple Temperature and SoC Conditions

Commercial 21700 cylindrical cells (LG M50T) were cycle aged under 3 different temperatures [10, 25, 40] °C and 2 SoC ranges [0-30, 0-100]%, with multiple cells tested under each condition. The dataset from Imperial College London includes break-in cycles and reference performance tests (RPTs) recorded using a Biologic BCS-815 battery cycler.

Use Cases

• Modeling capacity fade based on temperature and state-of-charge (SoC) cycling conditions.
• Analyzing the impact of break-in cycles on initial cell performance.
• Training machine learning models to predict battery degradation from electrochemical test data.
• Comparing long-term aging effects between partial (0-30%) and full (0-100%) SoC ranges.

Strengths

• Experimental design includes 3 temperatures and 2 SoC ranges, providing a multi-condition comparison.
• Multiple cells (2-3 per condition) were tested, allowing for assessment of cell-to-cell variability.
• Reference performance tests (RPTs) were conducted at beginning of life and after each aging set, providing a time-series of degradation.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Imperial College London

Collection Method

Experimental data collected using a Biologic BCS-815 battery cycler on commercial LG M50T cells under controlled aging conditions.