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This content will become publicly available on November 8, 2018

Title: Finding a Needle in the Haystack: Identification of Functionally Important Minority Phases in an Operating Battery

The in-depth understanding of the minority phases’ roles in functional materials, e.g., batteries, is critical for optimizing the system performance and the operational efficiency. Although the visualization of battery electrode under operating conditions has been demonstrated, the development of advanced data-mining approaches is still needed in order to identify minority phases and to understand their functionalities. The present study uses nanoscale X-ray spectromicroscopy to study a functional LiCoO 2/Li battery pouch cell. The data-mining approaches developed herein were used to search through over 10 million X-ray absorption spectra that cover more than 100 active cathode particles. Two particles with unanticipated chemical fingerprints were identified and further analyzed, providing direct evidence and valuable insight into the undesired side reactions involving the cation dissolution and precipitation as well as the local overlithiation-caused subparticle domain deactivation. As a result, the data-mining approach described in this work is widely applicable to many other structurally complex and chemically heterogeneous systems, in which the secondary/minority phases could critically affect the overall performance of the system, well beyond battery research.
Authors:
 [1] ;  [2] ;  [3] ;  [4] ;  [2] ;  [4] ; ORCiD logo [5] ;  [5] ;  [2] ; ORCiD logo [2] ; ORCiD logo [5] ; ORCiD logo [2]
  1. Chinese Academy of Sciences (CAS), Beijing (China); SLAC National Accelerator Lab., Menlo Park, CA (United States)
  2. SLAC National Accelerator Lab., Menlo Park, CA (United States)
  3. Brookhaven National Lab. (BNL), Upton, NY (United States); Chinese Academy of Sciences (CAS), Beijing (China)
  4. Brookhaven National Lab. (BNL), Upton, NY (United States)
  5. Chinese Academy of Sciences (CAS), Beijing (China)
Publication Date:
Report Number(s):
BNL-114560-2017-JA
Journal ID: ISSN 1530-6984; R&D Project: MA453MAEA; VT1201000; TRN: US1703198
Grant/Contract Number:
SC0012704
Type:
Accepted Manuscript
Journal Name:
Nano Letters
Additional Journal Information:
Journal Volume: 17; Journal Issue: 12; Journal ID: ISSN 1530-6984
Publisher:
American Chemical Society
Research Org:
Brookhaven National Laboratory (BNL), Upton, NY (United States)
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
Country of Publication:
United States
Language:
English
Subject:
25 ENERGY STORAGE; data mining; Li-ion battery; LiCoO2; minority phase; X-ray spectro-microscopy
OSTI Identifier:
1409510