Trend Analysis of Real-Time Internal Resistance for Safety Diagnosis of Lithium-Ion Batteries

We explored real-time internal resistance (rt-IR) and its trends as a critical diagnostic parameter for monitoring the safety of lithium-ion batteries. With growing demand for battery devices, repeated charge and discharge cycles accelerate performance degradation, leading to potential safety concerns. By monitoring rt-IR, this research aims to detect early signs of battery degradation.<br/>The rt-IR was evaluated by testing several time intervals using current and voltage data under constant current state-of-charge (CC-SoC), obtained from the Oxford battery degradation dataset. Our results showed that the rt-IR values were relatively higher at lower SoC level, particularly below 30% of CC-SoC, indicating elevated safety risks. Based on these results, we proposed that rt-IR and its trends can be an important indicator for diagnosing lithium-ion battery safety. This real-time monitoring approach with rt-IR provides valuable insights into maintaining safety and efficient battery operation in energy storage systems (ESS).