Communication Dans Un Congrès Année : 2023

Degradation Modes estimation tool for Second life Li-ion batteries with inhomogeneous lithium distribution

Résumé

Accurately identifying the sources and rates of degradation in Li-ion batteries is crucial for predicting and mitigating their aging process. A diagnostic tool is presented in this study that can estimate the Degradation Modes (DMs) of Li-ion batteries using the Incremental Capacity Analysis (ICA) technique. To improve the precision of the DMs estimation tool, the software also considers an estimation of the inhomogeneous loss of cyclable lithium within the negative electrode. A range of second life Li-ion batteries with Graphite/NMC622 chemistry was tested in order to evaluate the performance of the diagnostic tool, enabling the comparison of their respective aging characteristics. The results demonstrate that the diagnostic tool provides an effective mean of characterizing and predicting the aging of Li-ion batteries, offering valuable insights into the behavior and performance of these critical energy storage systems.

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hal-04159980 , version 1 (12-07-2023)

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  • HAL Id : hal-04159980 , version 1

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Lucas Albuquerque, Fabien Lacressonnière, Christophe Forgez, Nicolas Damay, Xavier Roboam. Degradation Modes estimation tool for Second life Li-ion batteries with inhomogeneous lithium distribution. SYMPOSIUM DE GENIE ELECTRIQUE 2023, L2EP, Jul 2023, Lille, France. ⟨hal-04159980⟩
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