A1-007-OCV(50)-20120702: Lithium-Ion Battery Test Data for SOC and RUL Modeling

Parisa Mobasheri published experimental data from two A123 LiFePO4 pouch cells in June 2026. The dataset likely contains measurements from low-current open-circuit voltage (OCV) protocols and dynamic driving cycles (DST, US06, FUDS) across multiple temperatures. It supports the development of state-of-charge estimation, degradation modeling, and probabilistic reliability assessment frameworks.

Use Cases

• Training state-of-charge (SOC) estimators based on voltage and temperature data mentioned in the description.
• Modeling temperature-dependent degradation kinetics for remaining useful life (RUL) prediction.
• Conducting probabilistic reliability and survival analysis to account for inter-cell variability.
• Performing sensitivity analysis on parameter uncertainty propagation into SOC and RUL predictions.

Strengths

• Experimental results demonstrate voltage estimation errors below 0.02 V, corresponding to approximately 1–2% SOC deviation.
• Data captures significant life divergence between nominally identical cells (≈1000 vs. 200 cycles).
• Framework integrates SOC estimation, degradation modeling, and reliability assessment under multi-temperature dynamic operation.
• Data is shared under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset size is 4.8 MB, indicating a relatively small experimental sample.

Provenance

Source

Parisa Mobasheri via figshare.

Collection Method

Experimental characterization of two A123 LiFePO4 pouch cells using OCV protocols and dynamic driving cycles.

Freshness

Last updated 2026-06-01 17:41:46.