Accession Number:

AD1018791

Title:

Differential Capacity-Based Modeling for In-Use Battery Diagnostics, Prognostics, and Quality Assurance

Descriptive Note:

Conference Paper

Corporate Author:

US Army RDECOM, Communications, Electronics, Research, Development and Engineering Center Aberdeen Proving Ground United States

Personal Author(s):

• Marzocca,Lauren M.
• Atwater,Terrill B.

Report Date:

2014-06-09

Pagination or Media Count:

4.0

Abstract:

A reliable diagnosticprognostic indicator for electrochemical systems would allow for the prediction of cell failures, a function that would improve battery safety, efficiency, and quality assurance. The technique of differential capacity has proven to be a useful tool in the pursuit of this type of diagnosticprognostic device. The plots resulting from the differential capacity technique provide a fingerprint of a battery system that can be tracked throughout its life, and changes in these plots give insight into the future behavior of the system. The results of several cell-level galvanostatic experiments performed on several different chemistry types will be discussed with respect to differential capacity. This type of galvanostatic cell data was analyzed in order to develop a differential capacity-based model for use in a diagnosticprognostic device.

Descriptors:

• Lithium batteries
• safety
• quality assurance
• operational effectiveness
• equations of state
• experimental data
• visual inspection
• life cycle management
• Electrolytic cells
• high voltage
• Storage batteries
• electrochemistry
• peak power
• monitoring
• capacitance
• failure mode and effect analysis

Subject Categories:

Distribution Statement:

APPROVED FOR PUBLIC RELEASE