TY - JOUR
T1 - Ultrafast Inside-Out NMR Assessment of Rechargeable Cells
AU - Pigliapochi, Roberta
AU - Benders, Stefan
AU - Silletta, Emilia V.
AU - Glazier, Stephen L.
AU - Lee, Elizabeth
AU - Dahn, Jeff
AU - Jerschow, Alexej
N1 - Funding Information:
Funding was provided by US National Science Foundation (CBET 1804723) and a gift agreement by Mercedes-Benz Research & Development North America, Inc. The work of the Dalhousie authors was supported by the NSERC/Tesla Canada Industrial Research Chair program. SG thanks NSERC and the Walter C. Sumner Foundation for scholarship funding.
Publisher Copyright:
© 2020 Wiley-VCH GmbH
PY - 2021/2
Y1 - 2021/2
N2 - Rechargeable battery cells are notoriously difficult to analyze. Conductive casings and the close spacing between electrode layers prevent the penetration of radiofrequency into the active compartment, and thus preclude direct nuclear magnetic resonance studies of cells unless they are specifically designed for such studies. Recently, an inside-out magnetic resonance imaging (MRI) method was developed that allowed measuring the magnetic field distributions in the volume surrounding the cells, and inferring internal parameters, such as the state of charge and current distributions. While the imaging approach provides a potentially very detailed picture of internal mechanisms, it can often be sensitive to background gradients and can be slow. In this work, an alternative approach is presented, which is based on the acquisition of free induction decays in the sample volume surrounding the cells. The signals encode intrinsic battery properties via the induced magnetic fields from the battery materials. A large range of cells were studied with different cathode materials, electrolyte amounts and cycle numbers (age). The spectroscopic signatures from these studies are shown to provide strong classification power for cathode materials. In addition, the derived principal components follow distinct pathways as a function of state of charge. The method is simple and fast (completes in less than a second), and requires only minimal hardware.
AB - Rechargeable battery cells are notoriously difficult to analyze. Conductive casings and the close spacing between electrode layers prevent the penetration of radiofrequency into the active compartment, and thus preclude direct nuclear magnetic resonance studies of cells unless they are specifically designed for such studies. Recently, an inside-out magnetic resonance imaging (MRI) method was developed that allowed measuring the magnetic field distributions in the volume surrounding the cells, and inferring internal parameters, such as the state of charge and current distributions. While the imaging approach provides a potentially very detailed picture of internal mechanisms, it can often be sensitive to background gradients and can be slow. In this work, an alternative approach is presented, which is based on the acquisition of free induction decays in the sample volume surrounding the cells. The signals encode intrinsic battery properties via the induced magnetic fields from the battery materials. A large range of cells were studied with different cathode materials, electrolyte amounts and cycle numbers (age). The spectroscopic signatures from these studies are shown to provide strong classification power for cathode materials. In addition, the derived principal components follow distinct pathways as a function of state of charge. The method is simple and fast (completes in less than a second), and requires only minimal hardware.
KW - Li-ion batteries
KW - NMR spectroscopy
KW - in-situ analysis
KW - magnetic resonance imaging
KW - operando diagnostics
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U2 - 10.1002/batt.202000200
DO - 10.1002/batt.202000200
M3 - Article
AN - SCOPUS:85112623322
SN - 2566-6223
VL - 4
SP - 322
EP - 326
JO - Batteries and Supercaps
JF - Batteries and Supercaps
IS - 2
ER -