| Title |
Diagnosis Algorithm Using AC-IR for Electrical Energy Storage System Based on Lithium-Ion Battery |
| Authors |
우필성(Pil-Sung Woo) ; 김유나(You-Na Kim) ; 태동현(Dong-Hyun Tae) ; 모영규(Young-Kyu Mo) ; 황민(Min Hwang) ; 김영석(Young-Seok Kim) ; 송길목(Kil-Mok Shong) |
| DOI |
https://doi.org/10.5370/KIEE.2025.74.1.178 |
| Keywords |
Li-BESS; AC-Internal Resistance; Diagnosis; Demonstration; Battery Management System |
| Abstract |
This paper proposes a diagnosis algorithm using internal resistance for a large-capacity (MWh or more) lithium-ion batteries energy storage system centered on field application. Therefore this paper identified the current status of Li-BESS construction in South Korea and analyzed the internal resistance characteristics and measurement technology. In addition the proposed diagnosis algorithm was demonstrated to reflect the specificity of the field. Future research requires more specific correlation analysis between internal resistance and BMS information. |