고용량 리튬이온 배터리의 주파수 응답특성을 반영한 임피던스 기반 온도 추정 연구 (Impedance-based Temperature Estimation Study Reflecting the Frequency Response Characteristics of High-capacity Lithium-ion Batteries)

서지정보

· 발행기관 : 한국자동차공학회
· 수록지 정보 : 한국자동차공학회 논문집 / 29권 / 8호 / 741 ~ 749페이지
· 저자명 : 최창기, 강덕훈, 한승윤, 김종훈

초록

Recently, research and development have been actively conducted in order to increase the mileage of electric vehicles(EVs). The performance change of lithium-ion battery, the main power source of EV, is related to battery life. This is directly related to EV mileage. One of the factors affecting the change in battery performance is temperature, and to effectively manage the battery temperature, it is necessary to be able to estimate the temperature. A heating factor is needed to estimate the battery temperature. Since the heating factor extracted through the electrical characteristic experiment that has been studied so far does not reflect the electrochemical change inside the battery, it is impossible to estimate the temperature with high accuracy. Therefore, in this paper, for high-accuracy temperature estimation, we extracted the heating factor reflecting the internal frequency response characteristic of the battery, and used it to derive the heat generation rate in the electrical-thermal analysis.

영어초록

Recently, research and development have been actively conducted in order to increase the mileage of electric vehicles(EVs). The performance change of lithium-ion battery, the main power source of EV, is related to battery life. This is directly related to EV mileage. One of the factors affecting the change in battery performance is temperature, and to effectively manage the battery temperature, it is necessary to be able to estimate the temperature. A heating factor is needed to estimate the battery temperature. Since the heating factor extracted through the electrical characteristic experiment that has been studied so far does not reflect the electrochemical change inside the battery, it is impossible to estimate the temperature with high accuracy. Therefore, in this paper, for high-accuracy temperature estimation, we extracted the heating factor reflecting the internal frequency response characteristic of the battery, and used it to derive the heat generation rate in the electrical-thermal analysis.

참고자료

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