Differential Capacity-Based Modeling for In-Use Battery Diagnostics, Prognostics, and Quality Assurance
Abstract
A reliable diagnostic/prognostic 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 diagnostic/prognostic 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 diagnostic/prognostic device.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jun 09, 2014
- Accession Number
- AD1018791
Entities
People
- Lauren M. Marzocca
- Terrill B. Atwater