| Title |
Trend Analysis of Real-Time Internal Resistance for Safety Diagnosis of Lithium-Ion Batteries |
| Authors |
김채원(Chae Won Kim) ; 김용희(Yong Hee Kim) ; 이세희(Se-Hee Lee Soo Ko) |
| DOI |
https://doi.org/10.5370/KIEE.2024.73.12.2521 |
| Keywords |
Lithium-Ion Battery; Real-Time Internal Resistance (rt-IR); State-of-Charge (SoC); State-of-Health (SoH); DC-IR (Direct Current Internal Resistance); Real-Time Monitoring |
| Abstract |
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.
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). |