Abstract
It is imperative to ascertain the ionic and electronic components of the total conductivity of an electrochemically active material. A blocking technique, called the “Hebb-Wagner method”, is normally used to explain the two components (ionic and electronic) of a mixed conductor, in combination with the complex ac impedance method and dc polarization measurements. CeO2 atomic layer deposition (ALD)-coated and uncoated, LiMn2O4 (LMO) and LiMn1.5Ni0.5O4 (LMNO) powders were pressed into pellets and then painted with silver to act as a blocking electrode. The electronic conductivities were derived from the currents obtained using the dc chronoamperometry mode. The ionic conductivities were calculated based on results of the electronic conductivities and the mixed conductivities obtained using the ac impedance method. The results showed that the ionic conductivities of the LMO and LMNO particles coated with CeO2 thin films were twice as much as those of the uncoated LMO and LMNO particles. Also, LMO particles coated with insulating materials, such as alumina and zirconia ALD films, were tested and compared. No significant effects of the substrates on the ionic conductivities of the coated and uncoated samples were noticed, although the electronic conductivities of the LMO samples were found to be higher than those of the LMNO samples. Indeed, the ionic conductivity of the CeO2 films and the optimal film thickness achieved by ALD helped overcome the trade-off between long cycle-life and the reduced initial capacity fade of the LMO when used as a cathode in lithium ion batteries.
Recommended Citation
R. L. Patel et al., "Ionic and Electronic Conductivities of Atomic Layer Deposition Thin Film Coated Lithium Ion Battery Cathode Particles," RSC Advances, no. 101, Royal Society of Chemistry, Jan 2016.
The definitive version is available at https://doi.org/10.1039/C6RA20829K
Department(s)
Mechanical and Aerospace Engineering
Research Center/Lab(s)
Center for High Performance Computing Research
Second Research Center/Lab
Intelligent Systems Center
International Standard Serial Number (ISSN)
2046-2069
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2016 Royal Society of Chemistry, All rights reserved.
Publication Date
01 Jan 2016
Included in
Aerospace Engineering Commons, Mechanical Engineering Commons, Numerical Analysis and Scientific Computing Commons
