• Proceedings of the Korean Vacuum Society Conference
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• 2014.02a
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• pp.186.2-186.2
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• 2014

최근 친환경 에너지에 대한 관심이 증폭되면서 리튬이차전지에 대한 연구가 활발히 진행되고 있다. 특히 음극(anode) 물질의 경우 기존의 흑연(graphite)보다 이론적 용량이 약 10배 이상 높은 실리콘(Silicon)에 대한 관심이 매우 높다. 하지만 Si의 경우 리튬 충전거동 시 400% 이상의 부피팽창으로 몇 번의 충전/방전 싸이클(cycle)에 전극이 파괴되는 문제점을 지니고 있다. 이를 극복하기 위해 Si 나노선이 고려되고 있다. 우수한 전극특성을 갖는 Si 소재를 개발하기 위해서는 원자단위에서 Si 나노선의 리튬 충전 메커니즘을 살펴보는 것이 매우 중요하다. 하지만 기존의 시뮬레이션 기법으로는 Si 나노선의 볼륨팽창에 관한 메커니즘과 리튬 충전과정에서의 상변화(결정질에서 비정질) 과정을 설명하기는 기술적으로 매우 힘들다. 고전적인 분자동역학 방법의 경우 실제 나노스케일을 고려할 수 있지만, empirical potential로는 원자들간의 화학반응을 제대로 묘사할 수 없다. 한편 양자역학에 기반을 둔 제일원리방법의 경우 계산의 복잡성으로 현재의 컴퓨터 환경에서는 나노스케일에서 원자들의 동역학적인 거동을 연구하기 매우 힘들다. 우리는 이러한 문제를 해결하기 위해 실제 나노스케일에서 원자간 화학반응을 예측할 수 있는 Si-Li 시스템의 Reactive force field를 개발하였고, 분자동역학 계산방법을 이용하여 Si 나노선의 Li 충전 메커니즘을 규명하였다.

• Journal of the Korean Electrochemical Society
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• v.4 no.3
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• pp.94-97
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• 2001

Electro-conducting Polypyrrole(PPy) films were Prepared by applying constant current in various electrolytes solutions and their capacitance properties were investigated using cyclic voltammetry. Capacitance values were strongly dependent on the electrolytes solution used in electrochemical polymerization. PPy prepared in PC/AN mixture solution containing 0.5M $LiClO_4$ with small amount water showed 401 F/g and that electrogenerated in $AN/H_2O$ mixture solution containing 0.5M $LiClO_4$ retained $70\%$ of initial capacitance after 2000 cycles.

• Journal of the Korean Ceramic Society
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• v.40 no.1
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• pp.69-76
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• 2003

For lithium secondary microbattery anode, the tin oxide thin films with Si addition (0, 2, 6, 10, 20 ㏖%) were prepared with R.F. magnetron sputtering at substrate temperature of 30$0^{\circ}C$ and Ar:O$_2$=7:3 atmosphere. As Si addition amount increased, Si-O bonding density increased and Sn-O bonding density decreased. The addition of optimum Si amount led the decrease of Sn oxidation state so that the irreversible capacity reduced and cycle characteristic enhanced during charge-discharge test. SnO$_2$films with 6 ㏖% Si had the highest reversible capacity of 700 mAh/g after 100 cycles.

• Journal of IKEEE
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• v.24 no.1
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• pp.333-338
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• 2020

This paper proposes a method of estimating the SOC(State of Charge) of a battery cell using a neural network algorithm. To this, we implement a battery SOC estimation simulator and derive input and output data for neural network learning through charge and discharge experiments at various temperatures. Finally, the performance of the battery SOC estimation is analyzed by comparing with the experimental value by Ah-counting using Matlab/Simulink program and confirmed that the error rate can be reduced to less than 3%.

• The Transactions of the Korean Institute of Power Electronics
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• v.14 no.3
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• pp.188-196
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• 2009

Due to its high power density, long cycle life and clean nature supercapacitors are widely used for improving the dynamic characteristics of the new and renewable energy sources and extending the battery run-time and life. In this paper improved dynamic model of the supercapacitor is developed by the electrochemical impedance spectroscopy technique. The developed model can be used to accurately estimate the dynamic behaviour of the supercapacitor and calculate the exact capacitance value at a certain state of charges. The model of the supercapacitor in the frequency domain is equivalently transformed into that in the time domain for Matlab/Simulink simulaton. The simulation data shows fine agreements with experimental results, thereby proving the validity and the accuracy of the developed model.

• Transactions of the Korean hydrogen and new energy society
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• v.14 no.2
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• pp.122-130
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• 2003

Li/S 이차전지의 유황양극의 전기전도도를 향상시키고 유황이 충방전시 전해질내로 용출되는 것을 방지하기 위하여 multi-walled carbon nanotubes (MWNTs)를 thermal CVD 방법으로 제조하여 유황양극에 첨가하였다. 실험결과 첫 사이클에서 Li/S 이차전지의 방전용량은 485mAh/g-sulfur이었고, MWNT 첨가 이후에 유황양극의 cycle life와 rate-capability가 향상되는 것을 관찰할 수 있었다. 그러므로 MWNT는 polysulfide를 유황양극에 흡착시키는 동시에 good electric conductor로서 작용한다는 것을 알 수 있었다.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 1997.11a
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• pp.275-278
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• 1997

We investigated effectness of sort and volume of conductive agent to charge/discharge capacity of LiMn$_2$O$_4$. LiMn$_2$O$_4$is prepared by reacting stoichiometric mixture of LiOH . $H_2O$ and MnO$_2$(mole ratio 1 : 2) and heating at 80$0^{\circ}C$ for 24h, 36h, 48h, 60h and 72h. All LiMn$_2$O$_4$cathode active materials show spinel structure. Cathode active materials calcined at 80$0^{\circ}C$ for 36h, charge/discharge characteristics and cycle stability have remarkable advantages. Used that super-s-black and 20wt% as conductive agent in LiMn$_2$O$_4$, it is excellent than property of cathode used Acetylene black or mixture of Super-s-black and acetylene black at charge/discharge capacity and cycle stability. Also, specific efficiency of cathode is excellent as over 98% and that of first cycle is excellent as 92%.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.6
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• pp.1292-1295
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• 2006

Three kinds of electrolyte membranes were prepared by impregnating filter papers with one of the electrolyte solutions fur primary manganese battery ($NH_4Cl$, $ZnCl_2$, and alkaline types) and hygroscopic agent ($CaBr_2$ or $CaCl_2$), respectively. The thickness of them was $250{\sim}300{\mu}m$, and they were very flexible. The electrochemical characteristics greatly depended on the hygroscopic agent to supply water to the cell. The electrolyte membrane containing $CaCl_2$ showed the highest ionic conductivity and the largest discharge capacity.

• KEPCO Journal on Electric Power and Energy
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• v.8 no.2
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• pp.181-187
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• 2022

As the charges/discharges of VRFB-ESS were repeated during 150cycles or more, the capacity of electrolyte in VRFB-ESS was decreased little by little. It results from the decreasing of the level of anolyte and the increasing of the valance value of the catholyte. Then, we tried to recover the capacity loss with 3 different ways. The first way was that the levels of anolyte and catholyte were allowed to be evenly equalized when the difference in the levels of two different electrolytes were severe. The second one was to lessen the valance value of the catholyte through the reduction reaction to 4-valant ions of 5-valant ions in the catholyte with the reductant, oxalic acid. The last one was that the all electrolytes of analyte and catholyte were allowed to be electro-chemically reduced to 3.5 of the valance value by oxidizing new electrolyte with 3.5 valance ions. The last way was the most effective to recover the capacity loss.

• Journal of IKEEE
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• v.26 no.4
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• pp.531-536
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• 2022

In order to efficeintly manage a battery, it is important to accurately estimate and manage the SOH(State of Health) and RUL(Remaining Useful Life) of the batteries. Even if the batteries are of the same type, the characteristics such as facility capacity and voltage are different, and when the battery for the training model and the battery for prediction through the model are different, there is a limit to measuring the accuracy. In this paper, We proposed the entropy index using voltage distribution and discharge time is generalized, and four batteries are defined as a training set and a test set alternately one by one to predict the health status of batteries through linear regression analysis of machine learning. The proposed method showed a high accuracy of more than 95% using the MAPE(Mean Absolute Percentage Error).