Thermal Imaging Workflow for Early Battery Pack Anomaly Screening

Abstract

The authors present a thermal-imaging protocol for identifying early anomaly signatures in small lithium-ion battery modules. By combining frame differencing, region-threshold tracking, and cycle-level normalization, the workflow flags localized hotspots before threshold breach events. Across 120 controlled charge-discharge cycles, the method detected precursor anomalies an average of 14 minutes earlier than a voltage-only baseline. The study offers a reproducible screening framework for battery safety diagnostics.