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Received March 3, 2009
Accepted April 10, 2009
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리튬 이온 폴리머 전지의 사이클 수명 모델링
Modeling of the Cycle Life of a Lithium-ion Polymer Battery
아주대학교 에너지시스템학부 화학공학과, 443-749 경기도 수원시 영통구 원천동 산5 1현대자동차 연구개발총괄본부, 445-706 경기도 화성시 장덕동 772-1
Department of Chemical Engineering and Division of Energy Systems Research, Ajou University, San 5, Woncheon-dong, Yeongtong-gu, Suwon-si, Gyeonggi 443-749, Korea 1Corporate Research & Development Division, Hyundai Motor Company, 772-1, Jangduk-Dong, Hwaseong-si, Gyeonggi 445-706, Korea
cbshin@ajou.ac.kr
Korean Chemical Engineering Research, June 2009, 47(3), 344-348(5), NONE Epub 29 June 2009
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Abstract
리튬 이온 폴리머 전지의 사이클에 의한 용량 감소를 예측할 수 있는 1차원 모델링을 수행하였다. 이 연구에 사용된 수학적 모델에서는 전지 셀에서의 전기화학반응 속도론, 이온의 전달현상, 용량 감소 반응(parasitic reaction)을 고려하였다. 모델링의 신뢰성을 검증하기 위하여 LG화학에서 개발된 5Ah 급 리튬 이온 폴리머 전지의 사이클 성능을 측정하여 얻은 결과와 모델링의 결과를 비교하였다. 사이클 시험은 정전류 방전과 정전류-정전압 충전을 수행하였다. 방전 시험은 1C로 수행하였다. 충전상태(state of charge; SOC)의 범위는 1부터 0.2 사이에서 수행하였다. 충전실험은 정전류-정전압 방법으로(제한전류 10C, 제한전압 4.2 V) 수행하였고, 정전압 충전일 때 충전 전류가 50 mA에 도달하_x000D_
면 시험을 종료하였다. 전지의 용량측정은 사이클 시험이 시작전과 100 사이클마다 1C와 5C에서 용량을 측정하였다. 모델링에 근거하여 얻은 결과와 시험결과가 잘 일치하였다.
One-dimensional modeling was carried-out to predict the capacity loss of a lithium-ion polymer battery during cycling. The model not only accounted for electrochemical kinetics and ionic mass transfer in a battery cell, but also considered the parasitic reaction inducing the capacity loss. In order to validate the modeling, modeling results were compared with the measurement data of the cycling behaviors of the lithium-ion polymer batteries having nominal capacity of 5Ah from LG Chem. The cycling was performed under the protocol of the constant current discharge and the_x000D_
constant current and constant voltage charge. The discharge rate of 1C was used. The range of state of charge was between 1 and 0.2. The voltage was kept constant at 4.2 V until the charge current tapered to 50 mA. The retention capacity of the battery was measured with 1C and 5C discharge rates before the beginning of cycling and after every 100 cycles of cycling. The modeling results were in good agreement with the measurement data.
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