Performance Comparaison Of Lithium-Ion Battery Model Parameters Estimation Methods

This study focused on accurately modeling lithium-ion batteries to ensure safety and efficiency. The process involved selecting the Thevenin model for battery characterization and employing three parameter estimation methods: Simulink design optimization, curve fitting, and extraction from experimen...

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Bibliographic Details
Published in:	2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) pp. 1 - 7
Main Authors:	Mayssae, Touti, Badr, Bououlid Idrissi
Format:	Conference Proceeding
Language:	English
Published:	IEEE 16-05-2024
Subjects:	Battery charge measurement battery modelling battery parameter estimation equivalent circuit model Lithium-ion batteries lithium-ion battery Parameter estimation Safety Software packages System performance Voltage measurement
Online Access:	Get full text
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Summary:	This study focused on accurately modeling lithium-ion batteries to ensure safety and efficiency. The process involved selecting the Thevenin model for battery characterization and employing three parameter estimation methods: Simulink design optimization, curve fitting, and extraction from experimental data. After analyzing the results, the study concluded that the Simulink design optimization method was the most effective, as it yielded the lowest root-mean-square error, highlighting its importance for accurately estimating battery parameters and enhancing overall system performance.
DOI:	10.1109/IRASET60544.2024.10549192