A1-007-DST(−10)-US06-FUDS-20120829: Lithium-Ion Battery Test Data Under Dynamic Loads
by Parisa Mobasheri·Updated 4d ago
3.1 MB1files
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Description
Experimental data from 2012 characterizing two A123 LiFePO4 pouch cells under low-current and dynamic driving cycles (DST, US06, FUDS) across multiple temperatures. The dataset, created by Parisa Mobasheri and last updated in 2026, 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
Training and validating state-of-charge (SOC) estimators based on open-circuit voltage (OCV) and Coulomb counting data.
Modeling temperature-dependent degradation kinetics using Arrhenius-based relationships from cycle data.
Performing probabilistic reliability and survival analysis based on inter-cell variability data.
Conducting sensitivity analysis to quantify parameter uncertainty propagation into SOC and RUL predictions.
Strengths
Includes experimental results with voltage estimation errors below 0.02 V, corresponding to approximately 1–2% SOC deviation.
Demonstrates clear temperature-driven acceleration of aging and significant life divergence (≈1000 vs. 200 cycles) between cells.
Data supports a validated, integrated pipeline combining SOC estimation, degradation modeling, and reliability assessment.
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 small (3.1 MB), which may limit 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.
Time Range
Experimental data from 2012-08-29, as indicated in the title.
Freshness
Last updated 2026-06-01 17:41:40; freshness should be verified.
Data is provided in XLSX format, requiring software capable of reading Excel files.