CFD and CHT Methodology for the Thermal Simulation and Validation of a Prismatic LiFePO4 Cell

A computational fluid dynamics and conjugate heat transfer (CFD + CHT) methodology is developed for the thermal simulation of a commercial prismatic LiFePO4 cell under charging and discharging operating conditions. The approach couples a three-dimensional representation of the battery, including a simplified description of its internal layered structure, with an electrochemical–thermal heat-generation model implemented as a temperature- and time-dependent volumetric source term. The heat source is applied within the active layers of the cell and updated during the transient simulation according to the local thermal state and to the evolution of the state of charge. The methodology is applied to 1C and 2C cycles under natural convection and forced-air cooling at free-stream velocities of 10ms−1 and 20ms−1. A dedicated wind-tunnel campaign is carried out on the same cell, instrumented with type-K thermocouples distributed over its external surfaces, to provide experimental data for model validation. The results show that the proposed framework accurately reproduces the main wall-temperature trends observed experimentally. Under natural convection, the temperature distribution remains nearly uniform, whereas forced convection produces more pronounced vertical and in-plane gradients. For the charge cycles, the comparison between CFD predictions and end-of-cycle measurements yields a mean absolute error (MAE) of 0.66∘C and a root-mean-square error (RMSE) of 0.82∘C over 168 measurement locations. The discharge cycles yield a comparable level of agreement (MAE 0.65∘C, RMSE 0.81∘C over 168 probe points), confirming the predictive capability of the methodology for both operating modes.

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Publication Details

Journal
Fluids
Published
2026-08-18
DOI
https://doi.org/10.3390/fluids11080204
Primary Topic
Advanced Battery Technologies Research
Type
article
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article

CFD and CHT Methodology for the Thermal Simulation and Validation of a Prismatic LiFePO4 Cell

Antonio Bertei, Filippo Fruzza, Maria Vittoria Salvetti, Giovanni Lutzemberger et al.
Fluids
Advanced Battery Technologies Research
article

CFD and CHT Methodology for the Thermal Simulation and Validation of a Prismatic LiFePO4 Cell

Antonio Bertei, Filippo Fruzza, Maria Vittoria Salvetti, Giovanni Lutzemberger, Claudio Scarpelli, Marco Lagnoni, Alessandro Mariotti, F. Quilici, Duccio Fedeli
article en

Abstract

A computational fluid dynamics and conjugate heat transfer (CFD + CHT) methodology is developed for the thermal simulation of a commercial prismatic LiFePO4 cell under charging and discharging operating conditions. The approach couples a three-dimensional representation of the battery, including a simplified description of its internal layered structure, with an electrochemical–thermal heat-generation model implemented as a temperature- and time-dependent volumetric source term. The heat source is applied within the active layers of the cell and updated during the transient simulation according to the local thermal state and to the evolution of the state of charge. The methodology is applied to 1C and 2C cycles under natural convection and forced-air cooling at free-stream velocities of 10ms−1 and 20ms−1. A dedicated wind-tunnel campaign is carried out on the same cell, instrumented with type-K thermocouples distributed over its external surfaces, to provide experimental data for model validation. The results show that the proposed framework accurately reproduces the main wall-temperature trends observed experimentally. Under natural convection, the temperature distribution remains nearly uniform, whereas forced convection produces more pronounced vertical and in-plane gradients. For the charge cycles, the comparison between CFD predictions and end-of-cycle measurements yields a mean absolute error (MAE) of 0.66∘C and a root-mean-square error (RMSE) of 0.82∘C over 168 measurement locations. The discharge cycles yield a comparable level of agreement (MAE 0.65∘C, RMSE 0.81∘C over 168 probe points), confirming the predictive capability of the methodology for both operating modes.

FluidsVol. 11(8)
University of Pisa (IT)
Openalex Percentile: Top 16%
Advanced Battery Technologies Research
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