MAURES, Matthieu; MATHIEU, Romain; CAPITAINE, Armande; DELÉTAGE, Jean-Yves; VINASSA, Jean-Michel; BRIAT, Olivier

doi:10.3390/batteries8050039

Laboratoire de l'intégration, du matériau au système [IMS]

MATHIEU, Romain

Laboratoire de l'intégration, du matériau au système [IMS]

CAPITAINE, Armande

Laboratoire de l'intégration, du matériau au système [IMS]

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Article de revue

Ce document a été publié dans

Batteries. 2022-04, vol. 8, n° 5, p. 39

Résumé en anglais

An incremental capacity parametric model for batteries is proposed. The model is based on Verhulst’s logistic equations and distributions in order to describe incremental capacity peaks. The model performance is compared with polynomial models and is demonstrated on a commercial lithium-ion cell. Experimental data features low-current discharges performed at temperatures ranging from −20 °C to 55 °C. The results demonstrate several advantages of the model compared to empirical models. The proposed model enables a clear description of the geometric features of incremental capacity peaks. It also doubles as an open circuit voltage model as the voltage curve can be fully recovered from parameterization on incremental capacity curves. The study of temperature sensitivity show that peak geometric parameters can be modelled as a function of temperature. An example of practical application is then displayed by using the model to estimate battery state-of-charge from voltage and temperature measurements. This example can expand to other practical applications for battery management systems such as state-of-health monitoring.< Réduire

Mots clés en anglais

lithium-ion batteries

battery management system

incremental capacity

parametric model

temperature sensitivity

OCV model

SoC estimation

SoH monitoring

URI

https://oskar-bordeaux.fr/handle/20.500.12278/140481

DOI

http://dx.doi.org/10.3390/batteries8050039

Unités de recherche

IMS : Laboratoire de l'Intégration du Matériau au Système - UMR 5218

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An Incremental Capacity Parametric Model Based on Logistic Equations for Battery State Estimation and Monitoring

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Mots clés en anglais

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