AVS 66th International Symposium & Exhibition
    Applied Surface Science Division Wednesday Sessions
       Session AS+CA+LS-WeA

Paper AS+CA+LS-WeA3
Surface Characterization of Battery Electrode/Electrolyte Materials Using XPS and ToF-SIMS

Wednesday, October 23, 2019, 3:00 pm, Room A211

Session: Operando Characterization Techniques for In situ Surface Analysis of Energy Devices
Presenter: Elisa Harrison, Ford Motor Company
Authors: E. Harrison, Ford Motor Company
S. Peczonczyk, Ford Motor Company
S. Simko, Ford Motor Company
K. Wujcik, Blue Current
A. Sharafi, Ford Motor Company
A. Drews, Ford Motor Company
Correspondent: Click to Email
With a drive to develop hybrid electric and electric vehicles for improving fuel economy and lowering emissions, research of battery materials becomes necessary to increase the performance and durability of automotive batteries. Therefore, significant improvements in the energy capacity, stability, and safety of automotive batteries must be achieved. For the last two decades, traditional methods to characterize battery materials and interfaces have focused on the mechanical and electrochemical properties of the battery. There has been less emphasis on understanding chemical properties of the surface of the electrode and the chemistry that occurs at the electrode/electrolyte interface. Moving forward to develop new battery systems, gaining an understanding of the surface chemistry of battery materials is critical to improving performance.

The objective of this work is to highlight the need for surface analytical techniques and methodologies to fully characterize and improve battery materials. In this work, the surface chemistry of electrodes and electrolytes were analyzed using both X-ray photoelectron spectroscopy (XPS) and time-of-flight secondary ion mass spectrometry (ToF-SIMS). These are powerful tools to identify slight changes to the surface chemistry of battery materials with respect to factors such as electrode and electrolyte formulation, cycling conditions, air exposure, contamination, and sample replication.