A123 Cell Specifications: Battery Performance Data for SOC and RUL Modeling

Two A123 LiFePO4 pouch cells were experimentally characterized using low-current open-circuit voltage protocols and dynamic driving cycles across multiple temperatures. The dataset, created by Parisa Mobasheri and last updated in June 2026, likely contains measurements for developing a unified framework integrating SOC estimation, degradation modeling, and probabilistic reliability assessment. The file size is 5.5 KB, suggesting a limited scope of experimental results.

Use Cases

• Training SOC estimators based on voltage and temperature data mentioned in the description
• Modeling battery degradation kinetics using temperature-aware Arrhenius-based relationships
• Performing probabilistic life prediction based on Weibull survival analysis for inter-cell variability
• Conducting sensitivity analysis on parameter uncertainty for SOC and RUL predictions

Strengths

• Experimental results demonstrate voltage estimation errors below 0.02 V, corresponding to approximately 1–2% SOC deviation
• Data captures clear temperature-driven acceleration of aging and significant life divergence between nominally identical cells (≈1000 vs. 200 cycles)
• Framework integrates estimation, degradation, and reliability modeling under realistic multi-temperature dynamic operation

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 a limited experimental scope

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 17:41:57; freshness should be verified