journal article·2021-11-12Open access

Spatially Resolved Potential and Li-Ion Distributions Reveal Performance-Limiting Regions in Solid-State Batteries

Elliot J. Fuller, Evgheni Strelcov, Jamie L. Weaver, Michael W. Swift, Joshua D. Sugar, Andrei Kolmakov, Nikolai Zhitenev, Jabez J. McClelland, Yue Qi, Joseph A. Dura, A. Alec Talin

ACS Energy Letters· Volume 6· Issue 11

Abstract

The performance of solid-state electrochemical systems is intimately tied to the potential and lithium distributions across electrolyte–electrode junctions that give rise to interface impedance. Here, we combine two operando methods, Kelvin probe force microscopy (KPFM) and neutron depth profiling (NDP), to identify the rate-limiting interface in operating Si-LiPON-LiCoO2 solid-state batteries by mapping the contact potential difference (CPD) and the corresponding Li distributions. The contributions from ions, electrons, and interfaces are deconvolved by correlating the CPD profiles with Li-concentration profiles and by comparisons with first-principles-informed modeling. We find that the largest potential drop and variation in the Li concentration occur at the anode–electrolyte interface, with a smaller drop at the cathode–electrolyte interface and a shallow gradient within the bulk electrolyte. Correlating these results with electrochemical impedance spectroscopy following battery cycling at low and high rates confirms a long-standing conjecture linking large potential drops with a rate-limiting interfacial process.
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Research context

OpenAlex topics: Advancements in Battery Materials · Advanced Battery Materials and Technologies · Advanced Battery Technologies Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Sandia National Laboratories, 7011 East Avenue, Livermore, California 94550, United States

National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States

Maryland NanoCenter, University of Maryland, College Park, Maryland 20742, United States

Department of Chemical Engineering and Materials Science, Michigan State University, East Lansing, Michigan 48824, United States

Center for Computational Materials Science, U.S. Naval Research Laboratory, Washington, DC 20375, United States

School of Engineering, Brown University, Providence, Rhode Island 02912, United States

Funding

National Institute of Standards and Technology · Basic Energy Sciences · Center for Nanoscale Science and Technology · University of Maryland · Laboratory Directed Research and Development

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