Diagnosing current distributions in batteries with magnetic resonance imaging | ||
| dc.conicet.fuente | individual | |
| dc.conicet.organizacion | University of New York | |
| dc.conicet.organizacion | 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 | |
| dc.conicet.organizacion | University of New York | |
| dc.conicet.organizacion | University of New York | |
| dc.conicet.organizacion | University of New York | |
| dc.conicet.paisOrganizacion | Estados Unidos | |
| dc.conicet.paisOrganizacion | Argentina | |
| dc.conicet.paisOrganizacion | Estados Unidos | |
| dc.conicet.paisOrganizacion | Estados Unidos | |
| dc.conicet.paisOrganizacion | Estados Unidos | |
| dc.conicet.produccionid | 8247501 | |
| dc.contributor.author | Mohammadi, Mohaddese | |
| dc.contributor.author | Silletta, Emilia Victoria | |
| dc.contributor.author | Ilott, Andrew J. | |
| dc.contributor.author | Jerschow, Alexej | |
| dc.date.accessioned | 2021-01-29T20:24:37Z | |
| dc.date.available | 2021-01-29T20:24:37Z | |
| dc.date.issued | 2019-12 | |
| dc.date.updated | 2020-11-19T21:25:05Z | |
| 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. | es |
| 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.format | application/pdf | es |
| 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 | es |
| dc.identifier.institucional | CONICET | |
| dc.identifier.issn | 1090-7807 | es |
| dc.identifier.repo | CONICET Digital | |
| dc.identifier.uri | http://hdl.handle.net/11336/124285 | |
| dc.journal.pagination | 1-7; 106601 | es |
| dc.journal.pais | Estados Unidos | es |
| dc.journal.title | Journal of Magnetic Resonance | es |
| dc.journal.volume | 309 | es |
| dc.language.iso | eng | es |
| dc.publisher | Academic Press Inc Elsevier Science | es |
| 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 | |
| dc.rights | info:eu-repo/semantics/restrictedAccess | * |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ | * |
| dc.subject | CURRENT DISTRIBUTION | es |
| dc.subject | MAGNETIC RESONANCE IMAGING | es |
| dc.subject | RECHARGEABLE LI-ION BATTERIES | es |
| dc.subject.classification | Física Atómica, Molecular y Química | es |
| dc.subject.classification | Ciencias Físicas | es |
| dc.subject.classification | CIENCIAS NATURALES Y EXACTAS | es |
| dc.title | Diagnosing current distributions in batteries with magnetic resonance imaging | es |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:ar-repo/semantics/artículo | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
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