TY - JOUR
T1 - X-ray nanotomography analysis of the microstructural evolution of LiMn2O4 electrodes
AU - Liu, Zhao
AU - Han, Kai
AU - Chen-Wiegart, Yu chen Karen
AU - Wang, Jiajun
AU - Kung, Harold H.
AU - Wang, Jun
AU - Barnett, Scott A.
AU - Faber, Katherine T.
N1 - Funding Information:
The authors gratefully acknowledge financial support from the Office of Naval Research Grant #N00014-12-1-0713. Analysis and modeling of the data was partially supported as part of the Center for Electrochemical Energy Science, an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences. ZL acknowledges support from a Northwestern University Cabell Terminal Year Fellowship. SEM/EDS was performed in the EPIC facility of the NUANCE Center at Northwestern University. The NUANCE Center has received support from the Soft and Hybrid Nanotechnology Experimental (SHyNE) Resource (NSF ECCS-1542205); the MRSEC program (NSF DMR-1121262) at the Materials Research Center; the International Institute for Nanotechnology (IIN); the Keck Foundation; and the State of Illinois, through the IIN. The author also acknowledge Use of the National Synchrotron Light Source, BNL, was supported by the U.S. (DOE, BES), under Contract No. DE-AC02-98CH10886.
Publisher Copyright:
© 2017 Elsevier B.V.
PY - 2017
Y1 - 2017
N2 - One of the greatest challenges for advancing lithium-ion battery (LIB) technology is to minimize cell degradation during operation for long-term stability. To this end, it is important to understand how cell performance during operation relates to complex LIB microstructures. In this report, transmission X-ray microscopy (TXM) nanotomography is used to gain quantitative three-dimensional (3D) microstructure-performance correlations of LIB cathodes during cycling. The 3D microstructures of LiMn2O4 (LMO) electrodes, cycled under different conditions, including cycle number, operating voltage, and temperature, are characterized via TXM and statistically analyzed to investigate the impact of cycling conditions on the electrode microstructural evolution and cell performance. It is found that the number of cracks formed within LMO particles correlated with capacity fade. For the cell cycled at elevated temperatures, which exhibits the most severe capacity fade among all cells tested, mechanical cracking observed in TXM is not the only dominant contributor to the observed degradation. Mn2+ dissolution, as verified by detection of Mn on the counter electrode by energy dispersive spectrometry, also contributed. The current work demonstrate 3D TXM nanotomography as a powerful tool to help probe in-depth understanding of battery failure mechanisms, which could be applicable to electrode structure optimization for advancing LIB development.
AB - One of the greatest challenges for advancing lithium-ion battery (LIB) technology is to minimize cell degradation during operation for long-term stability. To this end, it is important to understand how cell performance during operation relates to complex LIB microstructures. In this report, transmission X-ray microscopy (TXM) nanotomography is used to gain quantitative three-dimensional (3D) microstructure-performance correlations of LIB cathodes during cycling. The 3D microstructures of LiMn2O4 (LMO) electrodes, cycled under different conditions, including cycle number, operating voltage, and temperature, are characterized via TXM and statistically analyzed to investigate the impact of cycling conditions on the electrode microstructural evolution and cell performance. It is found that the number of cracks formed within LMO particles correlated with capacity fade. For the cell cycled at elevated temperatures, which exhibits the most severe capacity fade among all cells tested, mechanical cracking observed in TXM is not the only dominant contributor to the observed degradation. Mn2+ dissolution, as verified by detection of Mn on the counter electrode by energy dispersive spectrometry, also contributed. The current work demonstrate 3D TXM nanotomography as a powerful tool to help probe in-depth understanding of battery failure mechanisms, which could be applicable to electrode structure optimization for advancing LIB development.
KW - Cathode
KW - Lithium-ion battery
KW - Microstructural evolution
KW - Quantitative analysis
KW - X-ray nanotomography
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U2 - 10.1016/j.jpowsour.2017.06.027
DO - 10.1016/j.jpowsour.2017.06.027
M3 - Article
AN - SCOPUS:85020513577
SN - 0378-7753
VL - 360
SP - 460
EP - 469
JO - Journal of Power Sources
JF - Journal of Power Sources
ER -
