<p>A1-007-OCV(−10)-20120629.</p>

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, created by Parisa Mobasheri and last updated on 2026-06-01, supports a unified framework for state-of-charge estimation, degradation modeling, and probabilistic reliability assessment. It includes results demonstrating voltage estimation errors below 0.02 V and significant life divergence between nominally identical cells.

Use Cases

• Train or validate state-of-charge estimators based on the described dual-estimator structure combining Coulomb counting, OCV correction, and an extended Kalman filter.
• Model temperature-aware degradation kinetics using the Arrhenius-based relationships and cycle-based data mentioned in the description.
• Perform probabilistic life prediction and sensitivity analysis based on the Weibull survival analysis and parameter uncertainty propagation described.
• Benchmark battery performance under realistic multi-temperature dynamic operation using the DST, US06, and FUDS driving cycle data.

Strengths

• Includes experimental results with voltage estimation errors below 0.02 V, corresponding to approximately 1–2% SOC deviation.
• Documents clear temperature-driven acceleration of aging and significant life divergence between cells (≈1000 vs. 200 cycles).
• Data is structured within a validated pipeline integrating estimation, degradation, and reliability modeling.
• Available under a permissive CC-BY-4.0 license for reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale model training.
• The dataset is relatively small at 4.3 MB, potentially limiting the scope of analysis.

Provenance

Source

Parisa Mobasheri via figshare

Collection Method

Experimental characterization of two A123 LiFePO4 pouch cells using low-current OCV protocols and dynamic driving cycles (DST, US06, FUDS) across multiple temperatures.

Freshness

Last updated 2026-06-01 17:41:44; freshness should be verified.