A1-007-DST(25)-US06-FUDS-20120827: Lithium-Ion Battery Test Data for SOC and RUL Modeling

Experimental data from two A123 LiFePO4 pouch cells characterized under low-current and dynamic driving cycles across multiple temperatures. The dataset supports a unified framework for state-of-charge estimation, degradation modeling, and probabilistic reliability assessment. It was authored by Parisa Mobasheri and last updated on June 1, 2026.

Use Cases

• Training state-of-charge (SOC) estimators based on open-circuit voltage (OCV) and dynamic driving cycle data.
• 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 for SOC and RUL predictions.

Strengths

• Includes experimental data from multiple dynamic driving cycles (DST, US06, FUDS) and temperatures.
• Voltage estimation errors are reported below 0.02 V, corresponding to approximately 1–2% SOC deviation.
• Demonstrates significant life divergence between nominally identical cells (≈1000 vs. 200 cycles).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is from a specific experimental setup with two cells; generalizability may be limited.

Provenance

Source

Parisa Mobasheri via figshare

Collection Method

Experimental characterization of battery cells using low-current OCV protocols and dynamic driving cycles.

Freshness

Last updated 2026-06-01 17:41:42; freshness should be verified.