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Influence of Experimental Designs on Semi-Empirical and Deep Learning-based Modeling of Li-Ion Battery Aging

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DataCite Commons2024-11-18 更新2025-04-16 收录
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This dataset contains the measurements of 42 lithium-ion cells (LGChem 18650 MJ1) during a 6 months cycle life testing study, in which the influence of different operation conditions (0.3C-1C charging, 10-30°C ambient temperature, 5-100% DoD) on the aging behavior has been investigated. The tested conditions contain a full-factorial design with 3 factors and 3 levels per factor, 9 additional validation test conditions, and 3 test conditions that have been tested with 3 cells to quantify the cell-to-cell variation under different operation conditions. All cells have been cycled until 60% SoC and check-ups (C/3 capacity measurement, C/10 pOCV and a pulse characterization) have been conducted every 5 days. All measurements are provided as .csv files. Each file contains one check-up and 5 days of cycling.

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2024-11-18
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