A1-007-OCV(25)-20120905: Lithium-Ion Battery Test Data Across Multiple Temperatures

Two A123 LiFePO4 pouch cells were experimentally characterized using low-current open-circuit voltage (OCV) protocols and dynamic driving cycles across multiple temperatures. The dataset supports a unified framework integrating SOC estimation, degradation modeling, and probabilistic reliability assessment, demonstrating voltage estimation errors below 0.02 V and significant life divergence between nominally identical cells. Authored by Parisa Mobasheri and shared on figshare under a CC-BY-4.0 license, the data was last updated on 2026-06-01.

Use Cases

• Calibrating state-of-charge (SOC) estimators based on temperature-dependent OCV measurements.
• Modeling battery degradation kinetics using Arrhenius-based relationships derived from cycle data.
• Performing probabilistic reliability and remaining useful life (RUL) predictions based on Weibull survival analysis.
• Conducting sensitivity analysis on SOC and RUL predictions to quantify parameter uncertainty propagation.

Strengths

• Includes experimental data from two A123 LiFePO4 pouch cells tested under multiple temperatures.
• Voltage estimation errors are reported below 0.02 V, corresponding to approximately 1–2% SOC deviation.
• Demonstrates significant life divergence between cells, with one lasting ≈1000 cycles versus another lasting 200 cycles.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is 4.3 MB, indicating a relatively small scale.

Provenance

Source

Parisa Mobasheri via figshare.

Collection Method

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

Freshness

Last updated 2026-06-01 17:41:45; freshness should be verified.