An Automated Framework for Lithium Battery State of Health (SOH) Analysis

In this paper, we explore the capacity degradation mechanisms inherent to lithium batteries within consumer electronics, specifically focusing on the repercussions of fast charging techniques on the State of Health (SOH). We present an innovative automation framework tailored to oversee and control the charging and discharging cycles of these batteries under various C-rate scenarios. Experiments were carried out in a controlled testbed demonstrating the framework's proficiency in analyzing the battery's SOH degradation rate. Lithium-ion polymer (LiPo) batteries were used for experimental validation. Our results indicate a significant correlation between higher C-rates and accelerated battery degradation, with a 2.58% decrease in SOH observed at 3C over 30 cycles, demonstrating that a 3C charging profile degrades the SOH by 15% more than a 0.5C profile. These results show the importance of balancing fast charging capabilities with the overall longevity of lithium battery systems. Consequently, our research affirms the potential of the proposed framework as a valuable tool for in-depth studies on diverse lithium-based battery technologies.