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Experimental data from Li-ion batteries used to validate an integrated Bayesian approach for battery health monitoring. The approach uses Relevance Vector Machines and Particle Filters to estimate state-of-charge, state-of-health, and state-of-life. The dataset is provided by the National Aeronautics and Space Administration and was last updated in April 2026.
Data is in BIN format, which may not be directly readable by common data science tools without conversion.