BatFIT (Battery Feature Inference Toolbox) [SWR-26-034]

Hassanaly, Malik [National Laboratory of the Rockies (NLR), Golden, CO (United States)]; Gasper, Paul [National Laboratory of the Rockies (NLR), Golden, CO (United States)]; Randall, Corey [National Laboratory of the Rockies (NLR), Golden, CO (United States)]; Weddle, Peter [National Laboratory of the Rockies (NLR), Golden, CO (United States)]

doi:10.11578/dc.20260401.2

DOE OSTI · code-178417

BatFIT (Battery Feature Inference Toolbox) [SWR-26-034]

Hassanaly, Malik [National Laboratory of the Rockies (NLR), Golden, CO (United States)]·Gasper, Paul [National Laboratory of the Rockies (NLR), Golden, CO (United States)]·Randall, Corey [National Laboratory of the Rockies (NLR), Golden, CO (United States)]·Weddle, Peter [National Laboratory of the Rockies (NLR), Golden, CO (United States)]

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Abstract

This package implements several data-based techniques for parameter fitting in Li-ion battery models. It uses BATMODS-lite to generate the data . The repository contains the code that is used for the paper "Neural posterior estimation is accurate, tractable and scalable for inverse parameter inference in Li-ion batteries", M. Hassanaly, C. R. Randall, P. J. Weddle, P. J. Gasper, C. Kelly, T. R. Tanim, K. Smith.

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Hassanaly, Malik [National Laboratory of the Rockies (NLR), Golden, CO (United States)], Gasper, Paul [National Laboratory of the Rockies (NLR), Golden, CO (United States)], Randall, Corey [National Laboratory of the Rockies (NLR), Golden, CO (United States)], Weddle, Peter [National Laboratory of the Rockies (NLR), Golden, CO (United States)]. 2026-03-25. BatFIT (Battery Feature Inference Toolbox) [SWR-26-034]. https://doi.org/10.11578/dc.20260401.2

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