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Artículo

Diagnosing current distributions in batteries with magnetic resonance imaging

Mohammadi, Mohaddese; Silletta, Emilia VictoriaIcon ; Ilott, Andrew J.; Jerschow, Alexej
Fecha de publicación: 12/2019
Editorial: Academic Press Inc Elsevier Science
Revista: Journal of Magnetic Resonance
ISSN: 1090-7807
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Física Atómica, Molecular y Química

Resumen

Batteries and their defects are notoriously difficult to analyze non-destructively, and consequently, many defects and failures remain little noticed and characterized until they cause grave damage. The measurement of the current density distributions inside a battery could reveal information about deviations from ideal cell behavior, and could thus provide early signs of deterioration or failures. Here, we describe methodology for fast nondestructive assessment and visualization of the effects of current distributions inside Li-ion pouch cells. The technique, based on magnetic resonance imaging (MRI), allows measuring magnetic field maps during charging/discharging. Marked changes in the distributions are observed as a function of the state of charge, and also upon sustaining damage. In particular, it is shown that nonlinearities and asymmetries of current distributions could be mapped at different charge states. Furthermore, hotspots of current flow are also shown to correlate with hotspots in charge storage. This technique could potentially be of great utility in diagnosing the health of cells and their behavior under different charging or environmental conditions.
Palabras clave: CURRENT DISTRIBUTION , MAGNETIC RESONANCE IMAGING , RECHARGEABLE LI-ION BATTERIES
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info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/124285
DOI: http://dx.doi.org/10.1016/j.jmr.2019.106601
URL: https://www.sciencedirect.com/science/article/abs/pii/S109078071930240X
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Articulos(IFEG)
Articulos de INST.DE FISICA ENRIQUE GAVIOLA
Citación
Mohammadi, Mohaddese; Silletta, Emilia Victoria; Ilott, Andrew J.; Jerschow, Alexej; Diagnosing current distributions in batteries with magnetic resonance imaging; Academic Press Inc Elsevier Science; Journal of Magnetic Resonance; 309; 12-2019; 1-7; 106601
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