FURI | Fall 2025

Code-Based Interpretation and Descriptor Extraction from Battery Performance Data

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This research project aims to address the need for a simple way to compare multiple data sets and detect battery descriptors from such sets. However, the issue of the difficulty in conglomerating and standardizing multiple data files produced by varying battery testing manufacturers must be solved first. An easy-to-use desktop Python application allows for a straightforward approach for a user to generate multiple plots and compare against an existing database of different battery chemistries with different performance characteristics. If successful, this instrument can assist researchers in consolidation and comparison of data for other research studies.

Student researcher

Zeyad George

Electrical engineering

Hometown: Chandler, Arizona, United States

Graduation date: Spring 2027