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리튬이차전지 단일열화 구현: 전해액 고갈 및 전기적 연결성 저감
이소연(Soyeon Lee),오승미(Seungmi Oh),장일찬(Il Chan Jang),우중제(Jung-je Woo),송진주(Jinju Song) 한국전지학회 2021 한국전지학회지 Vol.1 No.1
리튬이차전지의 열화 현상은 양극, 음극, 전해액, 집전체 각 구성의 이유로 인해 매우 복잡하다. 전지의 열화를 이해하기 위해 리튬이차전지의 전해액 고갈과 전지적 연결성 저감 현상을 구현하고 각 현상에서의 전기화학특성을 확인하였다. 단일 열화의 전기화학적 실험 데이터는 추후 전지의 복합열화 셀에서 주요 열화 원인을 분석하기 위한 기초 자료로 사용될 것이다. The mechanism of degradation in lithium ion batteries (LIB) was complex, which there are various reasons with cathode, anode, electrolyte, and current collector. The artificial singular degradation cells as electrolyte depletion and electric network loss were reproduced for understanding degradation in LIB. The electrolyte depletion in the cell leads to loss of capacity with different voltage profile. The electric network loss in the electrode shows dramatic capacity loss with low cycle retention. Based on experimental data from electrochemical performance are presented for degradation cells.
산화물계 촉매 적용을 통한 Li-CO₂ 전지 성능개선 연구
송정환(Jeong-hwan Song),서준교(Joon Kyo Seo),마지영(Jiyoung Ma),우중제(Jung-je Woo),송진주(Jinju Song),장일찬(Il Chan Jang) 한국전지학회 2023 한국전지학회지 Vol.3 No.2
Li-CO₂ battery performance is closely related to the formation of reaction products. Li₂CO₃ forms crystals at about 5 nm and MnO₂ is known to have a strong anchoring force with a Li-containing carbonaceous species. In this study, the performance of Li-CO₂ battery was improved by applying a 10wt% mesoporous Beta-MnO₂ catalyst by a hard template method using mesopore silica.
이재우 ( Jaewoo Lee ),이동철 ( Dongcheul Lee ),신치범 ( Chee Burm Shin ),이소연 ( So-yeon Lee ),오승미 ( Seung-mi Oh ),우중제 ( Jung-je Woo ),장일찬 ( Il-chan Jang ) 한국화학공학회 2021 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.59 No.3
In order to optimize the performance of a lithium-ion battery, a performance prediction modeling technique that considers various degradation factors is required. In this work, mathematical modeling was carried-out to predict the change in discharging behavior and cycle life, taking into account the cycle aging of lithium-ion batteries. In order to validate the modeling, a cycling test was performed at the charge/discharge rate of 0.25C, and discharging behavior was measured through RPT (Reference Performance Test) performed at 30 cycle intervals. The accuracy of cycle life prediction was improved by considering the break-in mechanism, one of the phenomena occurring in the BOL (beginning of life), in the model for predicting the cycle life of lithium-ion batteries. The predicted change in cycle life based on the model was in good agreement with the experimental results.