Numerical modeling for lithium iron phosphate batteries

This paper proposes optimizing, calibrating, and validating an electrochemical model of a lithium iron phosphate (LFP) battery using an experimental approach based on measurement campaigns under different operating conditions. In particular, starting from the electrochemical model of an LFP battery, developed in the numerical environment of Comsol Multiphysics that allows excellent flexibility in considering and integrating phenomena of different physical nature, such as electrochemistry, thermal, and electromagnetic, this measurement-based approach allows us to investigate in-depth and realistic features of the battery and implement in the model the real behavior. For this task, in the paper, an LFP battery has been experimentally characterized by performing charge and discharge cycles at controlled and monitored temperatures at different current and State of Charge (SoC) values. This experimental characterization has been used for the implementation phase of the numerical model, providing the trend of the Open Circuit Voltage as the SoC varies and for the validation phase to verify whether the battery voltage and the SoC predicted by the model were consistent with the experimental data.

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Publication Details

Journal
IRIS Research product catalog (Sapienza University of Rome)
Published
2025-01-01
DOI
https://doi.org/10.1109/i2mtc62753.2025.11079139
Primary Topic
Advanced Battery Materials and Technologies
Type
article
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article

Numerical modeling for lithium iron phosphate batteries

G. Cerro, Filippo Milano, Luigi Ferrigno, Alfonso Martone et al.
1 links
IRIS Research product catalog (Sapienza University of Rome)
Advanced Battery Materials and Technologies
article

Numerical modeling for lithium iron phosphate batteries

G. Cerro, Filippo Milano, Luigi Ferrigno, Alfonso Martone, Mario Molinara, Marco Laracca, Barbara Palmieri, Alessio Miele
article en

Abstract

This paper proposes optimizing, calibrating, and validating an electrochemical model of a lithium iron phosphate (LFP) battery using an experimental approach based on measurement campaigns under different operating conditions. In particular, starting from the electrochemical model of an LFP battery, developed in the numerical environment of Comsol Multiphysics that allows excellent flexibility in considering and integrating phenomena of different physical nature, such as electrochemistry, thermal, and electromagnetic, this measurement-based approach allows us to investigate in-depth and realistic features of the battery and implement in the model the real behavior. For this task, in the paper, an LFP battery has been experimentally characterized by performing charge and discharge cycles at controlled and monitored temperatures at different current and State of Charge (SoC) values. This experimental characterization has been used for the implementation phase of the numerical model, providing the trend of the Open Circuit Voltage as the SoC varies and for the validation phase to verify whether the battery voltage and the SoC predicted by the model were consistent with the experimental data.

IRIS Research product catalog (Sapienza University of Rome)
University of Molise (IT), Università degli studi di Cassino e del Lazio Meridionale (IT), Institute of Polymers, Composites and Biomaterials (IT), Sapienza University of Rome (IT)
Openalex Percentile: Top 82%
Advanced Battery Materials and Technologies
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Numerical modeling for lithium iron phosphate batteries — G. Cerro, Filippo Milano, et al. · IRIS Research product catalog (Sapienza University of Rome) (2025) | TGRS Research Map | TGRS