Mostrar el registro sencillo del ítem
dc.contributor.author
Mohammadi, Mohaddese

dc.contributor.author
Silletta, Emilia Victoria

dc.contributor.author
Ilott, Andrew J.
dc.contributor.author
Jerschow, Alexej

dc.date.available
2021-01-29T20:24:37Z
dc.date.issued
2019-12
dc.identifier.citation
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
dc.identifier.issn
1090-7807
dc.identifier.uri
http://hdl.handle.net/11336/124285
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Academic Press Inc Elsevier Science

dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
CURRENT DISTRIBUTION
dc.subject
MAGNETIC RESONANCE IMAGING
dc.subject
RECHARGEABLE LI-ION BATTERIES
dc.subject.classification
Física Atómica, Molecular y Química

dc.subject.classification
Ciencias Físicas

dc.subject.classification
CIENCIAS NATURALES Y EXACTAS

dc.title
Diagnosing current distributions in batteries with magnetic resonance imaging
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-11-19T21:25:05Z
dc.journal.volume
309
dc.journal.pagination
1-7; 106601
dc.journal.pais
Estados Unidos

dc.description.fil
Fil: Mohammadi, Mohaddese. University of New York; Estados Unidos
dc.description.fil
Fil: Silletta, Emilia Victoria. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Física Enrique Gaviola. Universidad Nacional de Córdoba. Instituto de Física Enrique Gaviola; Argentina. University of New York; Estados Unidos
dc.description.fil
Fil: Ilott, Andrew J.. University of New York; Estados Unidos
dc.description.fil
Fil: Jerschow, Alexej. University of New York; Estados Unidos
dc.journal.title
Journal of Magnetic Resonance

dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.jmr.2019.106601
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S109078071930240X
Archivos asociados