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Internal Resistance Modeling for Proactive Safety Monitoring in Batteries and Energy Storage Systems
- Kim, Chae-won;
- Lee, Se-hee
SCOPUS
0초록
Batteries, and, Energy Storage System(ESS), which combines several of these batteries to store and use electrical energy freely, is a technology that has recently come into the spotlight, but at the same time, it has a very dangerous power. Therefore, safety diagnosis is very important and it is also important to analyze the internal resistance (IR) of lithium-ion batteries, which is one of the important parameters for safety diagnosis. Because the electrical and chemical reactions occur very complex at the same time in batteries, it is very difficult to simulate them similar to the real ones. We tried to analyze the battery cells electrochemically and numerically to derive output voltage values and internal resistance values like those of actual cells. Since high-precision simulations are structured almost similar to actual cells, several possibilities of defects can be tested through simulation and more accurate internal resistance abnormalities can be made. This will affect the technological advancement of batteries and ESS. © 2024 The Korean Institute of Electrical Engineers (KIEE).
키워드
- 제목
- Internal Resistance Modeling for Proactive Safety Monitoring in Batteries and Energy Storage Systems
- 저자
- Kim, Chae-won; Lee, Se-hee
- 발행일
- 2024
- 유형
- Conference paper
- 페이지
- 723 ~ 726
- 언어
- ENG
- 출판사
- Institute of Electrical and Electronics Engineers Inc.
- 분량
- 4 페이지