Parametrization of equivalent circuit models for lithium-ion batteries using galvanostatic intermittent titration technique
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0198148" target="_blank" >RIV/00216305:26220/26:0198148 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2025_sbornik_1.pdf" target="_blank" >https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2025_sbornik_1.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Parametrization of equivalent circuit models for lithium-ion batteries using galvanostatic intermittent titration technique
Popis výsledku v původním jazyce
This study presents an experimental methodology for parameterizing an Equivalent Circuit Model (ECM) of lithium-ion (Li-ion) batteries using the Galvanostatic Intermittent Titration Technique (GITT). ECMs are widely used for battery modeling due to their ability to approximate battery behavior with relatively low computational complexity. However, their accuracy strongly depends on precise identification of internal resistances and time constants, which define transient responses related to charge transfer and diffusion processes. In this work, a 3RC ECM configuration is employed to capture both fast and slow relaxation effects, enabling a more detailed characterization of the battery’s dynamic behavior. The experimental procedure consists of applying controlled current pulses followed by relaxation periods, during which voltage recovery is analyzed to extract key parameters. To refine the extracted values and ensure an optimal match between the model and measured voltage response, an iterative optimization process is applied, minimizing the discrepancy between simulated and experimental data. The proposed approach significantly enhances the accuracy of ECM parameterization, leading to a more reliable representation of lithium-ion battery dynamics across different States-of-Charge (SOC). The findings of this study contribute to improved state estimation, enhanced predictive maintenance, and more effective battery management strategies, ultimately supporting the optimization of energy storage systems and advancing battery performance modeling.
Název v anglickém jazyce
Parametrization of equivalent circuit models for lithium-ion batteries using galvanostatic intermittent titration technique
Popis výsledku anglicky
This study presents an experimental methodology for parameterizing an Equivalent Circuit Model (ECM) of lithium-ion (Li-ion) batteries using the Galvanostatic Intermittent Titration Technique (GITT). ECMs are widely used for battery modeling due to their ability to approximate battery behavior with relatively low computational complexity. However, their accuracy strongly depends on precise identification of internal resistances and time constants, which define transient responses related to charge transfer and diffusion processes. In this work, a 3RC ECM configuration is employed to capture both fast and slow relaxation effects, enabling a more detailed characterization of the battery’s dynamic behavior. The experimental procedure consists of applying controlled current pulses followed by relaxation periods, during which voltage recovery is analyzed to extract key parameters. To refine the extracted values and ensure an optimal match between the model and measured voltage response, an iterative optimization process is applied, minimizing the discrepancy between simulated and experimental data. The proposed approach significantly enhances the accuracy of ECM parameterization, leading to a more reliable representation of lithium-ion battery dynamics across different States-of-Charge (SOC). The findings of this study contribute to improved state estimation, enhanced predictive maintenance, and more effective battery management strategies, ultimately supporting the optimization of energy storage systems and advancing battery performance modeling.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
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Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings I of the 31st Conference STUDENT EEICT 2025
ISBN
978-80-214-6321-9
ISSN
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e-ISSN
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Počet stran výsledku
5
Strana od-do
271-275
Název nakladatele
Brno University of Technology, Faculty of Electrical Engineering and Communication
Místo vydání
Brno
Místo konání akce
Brno
Datum konání akce
29. 4. 2025
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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