리튬 이온 배터리의 안전 진단을 위한 실시간 내부저항 추이 분석 (Trend Analysis of Real-Time Internal Resistance for Safety Diagnosis of Lithium-Ion Batteries)

서지정보

· 발행기관 : 대한전기학회
· 수록지 정보 : 전기학회논문지 / 73권 / 12호 / 2521 ~ 2527페이지
· 저자명 : 김채원, 김용희, 이세희

초록

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).

영어초록

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).

참고자료

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