Automated EIS Data Acquisition and Analysis for Monitoring Degradation of Aluminum Beverage Can Lids

Electrochemical Impedance Spectroscopy (EIS) is a powerful, non-destructive tool for probing corrosion phenomena in metallic systems. In this work, we present an automated platform for highthroughput acquisition and analysis of EIS data to characterize corrosion in aluminum beverage can lids. Using a low-current potentiostat in combination with a multiplexer and custom-fabricated electrochemical reactors, EIS measurements were performed with the aluminum lid as the working electrode and a graphite rod as the counter electrode, directly immersed in commercial beverage solutions. To extract meaningful corrosion parameters, we applied 2D fitting techniques to the impedance spectra using a hybrid optimization strategy: global exploration via Particle Swarm Optimization (PSO), followed by local refinement using gradient-based techniques. The automated workflow facilitates rapid, consistent measurement and analysis, providing detailed insight into coating breakdown and interfacial degradation. This framework significantly reduces manual effort and subjectivity in EIS interpretation and offers a scalable approach for corrosion testing in packaging applications.