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Probing Model Sensitivity in Discharge Characteristics for a Li-O2 Battery using Uncertainty QuantificationFor this presentation, we looked into using uncertainty quantification to understand the uncertainty in model parameters in predicting voltage and time response of a lithium-air battery.
Document ID
20205008043
Acquisition Source
Ames Research Center
Document Type
Presentation
Authors
Mohit Mehta (Wyle (United States) El Segundo, California, United States)
Geoffrey Bomarito (Langley Research Center Hampton, Virginia, United States)
Patrick Leser (Langley Research Center Hampton, Virginia, United States)
William Leser (Langley Research Center Hampton, Virginia, United States)
James Warner (Langley Research Center Hampton, Virginia, United States)
John Lawson (Ames Research Center Mountain View, California, United States)
Date Acquired
September 25, 2020
Subject Category
Engineering (General)
Report/Patent Number
20205001244
Meeting Information
Meeting: PRiME 2020
Location: Honolulu, Hawaii
Country: US
Start Date: October 4, 2020
End Date: October 9, 2020
Sponsors: Electrochemical Society
Funding Number(s)
CONTRACT_GRANT: 80ARC020D0010
Distribution Limits
Public
Copyright
Public Use Permitted.
Technical Review
Single Expert
Keywords
Lithium-air
Model Uncertainty
Uncertainty Quantification
Battery Modeling

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