Differential Capacity-Based Modeling for In-Use Battery Diagnostics, Prognostics, and Quality Assurance
US Army RDECOM, Communications, Electronics, Research, Development and Engineering Center Aberdeen Proving Ground United States
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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.