Identifying degradation mechanisms in lithium-ion batteries with coating defects at the cathode

Lamuel David, Rose E. Ruther, Debasish Mohanty, Harry M. Meyer, Yangping Sheng, Sergiy Kalnaus, Claus Daniel, David L. Wood

Research output: Contribution to journalArticlepeer-review

52 Scopus citations

Abstract

Understanding the effect of electrode manufacturing defects on lithium-ion battery (LIB) performance is key to reducing the scrap rate and cost during cell manufacturing. In this regard, it is necessary to quantify the impact of various defects that are generated during the electrode coating process. To this end, we have tested large-format 0.5 Ah LiNi0.5Mn0.3Co0.2O2/graphite pouch cells with defects intentionally introduced into the cathode coating. Different types of coating defects were tested including agglomerates, pinholes, and non-uniform coating. Electrodes with larger non-coated surface had greater capacity fade than baseline electrodes, while pinholes and agglomerates did not affect performance adversely. Post cycle analysis of electrodes showed that the anode facing the defective region in the cathode was clearly impacted by the defect. Further characterization using Raman spectroscopy, X-ray photoelectron spectroscopy, and X-ray diffraction provided evidence for a proposed mechanism for material degradation related to the most detrimental type of coating defect.

Original languageEnglish
Pages (from-to)446-455
Number of pages10
JournalApplied Energy
Volume231
DOIs
StatePublished - Dec 1 2018

Funding

This research at Oak Ridge National Laboratory, managed by UT Battelle, LLC, for the U.S. Department of Energy (DOE) under contract DE-AC05-00OR22725, was sponsored by the Office of Energy Efficiency and Renewable Energy (EERE) Vehicle Technologies Office (VTO) (Deputy Director: David Howell) Applied Battery Research subprogram (Program Manager: Peter Faguy). X-ray Diffraction was conducted at the Center for Nanophase Materials Sciences, which is a DOE Office of Science User Facility. Part of this research was supported by the DOE Basic Energy Sciences (BES), Materials Sciences and Engineering Division. The authors would also like to thank Dr. Jianlin Li for helpful technical discussions in designing the experiments that enabled this paper.

Keywords

  • Computational modeling
  • Electrode coating
  • Li-ion battery
  • Manufacturing
  • Raman mapping
  • XPS

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