Geometry-Resolved Electro-Thermal Modelling of Cylindrical Lithium-Ion Cells Using 3D Simulation and Thermal Network Reduction

Accurate estimation of internal temperature is essential for safe operation and state esti mation of lithium-ion batteries, yet it usually cannot be measured directly and requires physically grounded electro-thermal models. High fidelity 3D simulations capture geometry-dependent heat transfer behavior but are too computationally intensive for real-time use, whereas common lumped models cannot represent internal gradients. This work presents an integrated geometry-resolved workflow that combines detailed 3D finite volume thermal modelling with systematic reduction to a compact multi-node thermal network and its coupling with an equivalent circuit electrical model. A realistic 3D model of the 20 Panasonic NCR18650B cell was reconstructed from CT data and literature parameters and validated against published axial and radial thermal conductivity measurements. The automated reduction yields a five-node thermal network preserving radial temperature distribution, which was coupled with five parallel Battery Table-Based blocks in MATLAB/Simulink to capture spatially distributed heat generation. Thermal chamber validation under dynamic loading shows strong agreement with measured surface temperature (MAE ≈ 0.43 °C) and terminal voltage (MAE ≈ 16 mV). The resulting model is interpretable, computationally efficient, and suitable for digital-twin development and advanced internal-state estimation.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-12
DOI
https://doi.org/10.5281/zenodo.18802573
Primary Topic
Advanced Battery Technologies Research
Type
article
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article

Geometry-Resolved Electro-Thermal Modelling of Cylindrical Lithium-Ion Cells Using 3D Simulation and Thermal Network Reduction

Martin Bata, Markus Schörgenhumer, Šimon Berta, Gabriel Gálik et al.
Zenodo (CERN European Organization for Nuclear Research)
Advanced Battery Technologies Research
article

Geometry-Resolved Electro-Thermal Modelling of Cylindrical Lithium-Ion Cells Using 3D Simulation and Thermal Network Reduction

Martin Bata, Markus Schörgenhumer, Šimon Berta, Gabriel Gálik, Danica Rosinová, Milan Plzák, Andrej Ürge, Michal Miloslav Ulicny
article en

Abstract

Accurate estimation of internal temperature is essential for safe operation and state esti mation of lithium-ion batteries, yet it usually cannot be measured directly and requires physically grounded electro-thermal models. High fidelity 3D simulations capture geometry-dependent heat transfer behavior but are too computationally intensive for real-time use, whereas common lumped models cannot represent internal gradients. This work presents an integrated geometry-resolved workflow that combines detailed 3D finite volume thermal modelling with systematic reduction to a compact multi-node thermal network and its coupling with an equivalent circuit electrical model. A realistic 3D model of the 20 Panasonic NCR18650B cell was reconstructed from CT data and literature parameters and validated against published axial and radial thermal conductivity measurements. The automated reduction yields a five-node thermal network preserving radial temperature distribution, which was coupled with five parallel Battery Table-Based blocks in MATLAB/Simulink to capture spatially distributed heat generation. Thermal chamber validation under dynamic loading shows strong agreement with measured surface temperature (MAE ≈ 0.43 °C) and terminal voltage (MAE ≈ 16 mV). The resulting model is interpretable, computationally efficient, and suitable for digital-twin development and advanced internal-state estimation.

Zenodo (CERN European Organization for Nuclear Research)
Slovak University of Technology in Bratislava (SK), Linz Center of Mechatronics (Austria) (AT)
Affordable and clean energy
Openalex Percentile: Top 43%
Advanced Battery Technologies Research
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