Literature DB >> 31574355

Diagnosing current distributions in batteries with magnetic resonance imaging.

Mohaddese Mohammadi1, Emilia V Silletta1, Andrew J Ilott1, Alexej Jerschow2.   

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.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Current distribution; Magnetic Resonance Imaging; Rechargeable Li-ion batteries

Year:  2019        PMID: 31574355     DOI: 10.1016/j.jmr.2019.106601

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  2 in total

1.  Sensitive magnetometry reveals inhomogeneities in charge storage and weak transient internal currents in Li-ion cells.

Authors:  Yinan Hu; Geoffrey Z Iwata; Mohaddese Mohammadi; Emilia V Silletta; Arne Wickenbrock; John W Blanchard; Dmitry Budker; Alexej Jerschow
Journal:  Proc Natl Acad Sci U S A       Date:  2020-05-06       Impact factor: 11.205

2.  Power Batteries Health Monitoring: A Magnetic Imaging Method Based on Magnetoelectric Sensors.

Authors:  Rui Chen; Jie Jiao; Ziyun Chen; Yuhang Wang; Tingyu Deng; Wenning Di; Shunliang Zhu; Mingguang Gong; Li Lu; Xianyu Xie; Haosu Luo
Journal:  Materials (Basel)       Date:  2022-03-07       Impact factor: 3.623

  2 in total

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