TY - JOUR
T1 - Diagnosing current distributions in batteries with magnetic resonance imaging
AU - Mohammadi, Mohaddese
AU - Silletta, Emilia V.
AU - Ilott, Andrew J.
AU - Jerschow, Alexej
N1 - Funding Information:
Funding was provided by grants from the US National Science Foundation under programs CBET 1804723 and PFI-TT 1827585. We acknowledge the support from the Battery Prototyping Center team at the Rochester Institute of Technology (RIT), Dr. Matthew Ganter and Dr. Christopher Schauerman. M.M and E.V.S contributed equally to the work. M.M, A.J. and A.J.I. designed the experiments. M.M. carried out the experiments and simulations. E.V.S performed the calculation and generated images. M.M, E.V.S and A.J. analyzed the results and wrote the paper. The authors declare no competing interests.
Funding Information:
Funding was provided by grants from the US National Science Foundation under programs CBET 1804723 and PFI-TT 1827585 . We acknowledge the support from the Battery Prototyping Center team at the Rochester Institute of Technology (RIT), Dr. Matthew Ganter and Dr. Christopher Schauerman.
Publisher Copyright:
© 2019 Elsevier Inc.
PY - 2019/12
Y1 - 2019/12
N2 - 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.
AB - 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.
KW - Current distribution
KW - Magnetic Resonance Imaging
KW - Rechargeable Li-ion batteries
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U2 - 10.1016/j.jmr.2019.106601
DO - 10.1016/j.jmr.2019.106601
M3 - Article
C2 - 31574355
AN - SCOPUS:85072665420
SN - 1090-7807
VL - 309
JO - Journal of Magnetic Resonance
JF - Journal of Magnetic Resonance
M1 - 106601
ER -