Validation of SOC Estimation: Lithium-Ion Battery Test Data

Experimental data from two A123 LiFePO4 pouch cells characterized using low-current open-circuit voltage protocols and dynamic driving cycles across multiple temperatures. The dataset, authored by Parisa Mobasheri and last updated in June 2026, supports a unified framework for state-of-charge estimation, degradation modeling, and probabilistic reliability assessment. It is a small dataset (5.5 KB) stored in an XLS file format.

Use Cases

• Validating state-of-charge estimation algorithms based on voltage and temperature data.
• Modeling temperature-aware degradation kinetics using Arrhenius-based relationships mentioned in the description.
• Performing probabilistic life prediction and sensitivity analysis to account for inter-cell variability.
• Benchmarking dual-estimator structures combining Coulomb counting and extended Kalman filters.

Strengths

• Data is derived from systematic experimental characterization across multiple temperatures.
• The associated framework demonstrated voltage estimation errors below 0.02 V, corresponding to approximately 1–2% SOC deviation.
• Results show significant life divergence between nominally identical cells (≈1000 vs. 200 cycles), highlighting inter-cell variability.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (5.5 KB), indicating limited scope.

Provenance

Source

figshare

Collection Method

Experimental characterization of battery cells using low-current OCV protocols and dynamic driving cycles (DST, US06, FUDS).

Freshness

Last updated 2026-06-01 17:41:58; freshness should be verified.