• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.6
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• pp.385-391
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• 2023

As the use of electric vehicles has increased to minimize carbon emissions, the analyzing the state and performance of lithium-ion batteries that is instrumental in electric vehicles have been important. Comprehensive analysis using not only the voltage, current and temperature of the battery pack, which can affect the condition and performance of the battery, but also the driving data and charging pattern data of the electric vehicle is required. Therefore, a thorough analysis is imperative, utilizing electric vehicle operation data, charging pattern data, as well as battery pack voltage, current, and temperature data, which collectively influence the condition and performance of the battery. Therefore, collection and preprocessing of battery data collected from electric vehicles, collection and preprocessing of data on driver driving habits in addition to simple battery data, detailed design and modification of artificial intelligence algorithm based on the analyzed influencing factors, and A battery analysis and evaluation model was designed. In this paper, we gathered operational data and battery data from real-time electric buses. These data sets were then utilized to train a Random Forest algorithm. Furthermore, a comprehensive assessment of battery status, operation, and charging patterns was conducted using the explainable Artificial Intelligence (XAI) algorithm. The study identified crucial influencing factors on battery status, including rapid acceleration, rapid deceleration, sudden stops in driving patterns, the number of drives per day in the charging and discharging pattern, daily accumulated Depth of Discharge (DOD), cell voltage differences during discharge, maximum cell temperature, and minimum cell temperature. These factors were confirmed to significantly impact the battery condition. Based on the identified influencing factors, a battery analysis and evaluation model was designed and assessed using the Random Forest algorithm. The results contribute to the understanding of battery health and lay the foundation for effective battery management in electric vehicles.

• Journal of Power System Engineering
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• v.18 no.6
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• pp.146-152
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• 2014

Mg-Sn nanoparticles were prepared by an arc-discharge method in a mixture atmosphere of argon and hydrogen gases. Phases, morphologies, and microstructures of the nanoparticles were investigated by means of X-ray diffraction (XRD) and high-resolution transmission electron microscopy (HRTEM). It was found that the intermetallic compound of $Mg_2Sn$ was generated and coexisted with metallic phases of Mg and Sn within nanoparticles. Basedon the model cell, the electrochemical properties were also explored by discharge-charge cycling, cyclic voltammetry, and electrochemical impedance spectroscopy. The initial capacity of the first cycle reached 430 mAh/g. Two visible plateaus at 0.2-0.3 and 0.5-0.75V were observed in the potential profiles, which can attributed to alloying/de-alloying reactions between Li and Mg2Sn, respectively.

• Transactions of the Korean hydrogen and new energy society
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• v.23 no.3
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• pp.250-255
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• 2012

In this paper, the development and performance analysis of a fuel cell-powered unmanned aerial vehicle is described. A fuel cell system featuring 1 kW proton exchange membrane fuel cell combined with a highly pressurized fuel supply system is proposed. For the higher fuel consumption efficiency and simplification of overall system, dead-end type operation is chosen and each individual system such as purge system, fuel supply system, cooling system is developed. Considering that fluctuation of exterior load makes it hard to stabilize fuel cell performance, the power management system is designed using a fuel cell and lithium-ion battery hybrid system. After integration of individual system, the performance of unmanned aerial vehicle is analyzed using data from flight and laboratory test. In the result, overall system was properly operated but for more duration of flight, research on weight lighting and improvement of fuel efficiency is needed to be progressed.

• Proceedings of the KIPE Conference
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• 2016.07a
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• pp.383-384
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• 2016

본 논문에서 shock test를 적용한 고출력 리튬이온 원통형 셀의 내부 전기화학적 특성을 비교하였다. 용량이 동일한 고출력 리튬이온 원통형 셀을 사용하여 shock test를 적용하였다. 충격 전후에 OCV (Open Circuit Voltage) 및 HPPC (Hybrid Pulse Power Characterization) 테스트 기반 방전용량 및 내부저항을 측정하였으며 이를 통해 각 고출력 리튬이온 원통형 셀의 일정한 변화율을 확보하였다.

• Proceedings of the KIPE Conference
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• 2016.07a
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• pp.305-306
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• 2016

본 논문은 선택적 전압 균일화 기법을 이용하여 직렬 연결된 리튬 이온 배터리의 빠른 전압 균일화를 위한 새로운 능동형 셀 밸런싱 회로를 제안하였다. 제안한 회로는 다권선 변압기를 사용한 전하 균일화 회로에 인덕터 1개, MOSFET 스위치 1개를 추가한 회로 구성을 가지며, 기존의 빠른 밸런싱을 위한 회로 대비 수 배 적은 소자로 구성이 가능하다. 추가된 인덕터는 직렬 연결된 배터리 전압을 통해 빠르게 저장된 에너지를, 낮은 전압의 배터리로 높은 밸런싱 전류를 전달함으로써 배터리 셀 간의 빠른 전압 밸런싱을 구현하였다. 제안한 회로의 밸런싱 속도에 대한 검증을 위해서, PSIM Simulation을 통해 기존 회로와 비교 검증 하였다.

• Proceedings of the KIPE Conference
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• 2013.11a
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• pp.60-62
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• 2013

기본적으로 많은 인자들에 의해 영향을 받는 배터리 시스템은 일반적으로 사용 용도에 따라 단위 배터리 셀을 직렬 또는 병렬로 연결하여 하나의 배터리 모듈을 형성하고 있다. 다수개의 단위 배터리 셀을 연결하여 하나의 배터리 모듈로 사용하는 경우, 개별 셀의 활물질 및 전해액의 미소 변동, 충방전 사이클 차이, 온도의 영향에 따라 배터리 특성이 다르게 나타난다. 이러한 특성으로 인해 충전 및 방전이 진행됨에 따라 셀간의 전압 불균형 현상이 발생하고 이로 인해 배터리 수명은 급격하게 감소하여 배터리 교체와 같은 경제적 손실을 초래한다. 본 논문에서는 배터리의 성능과 안전성을 확보하기 위해 배터리 밸런싱에 관한 연구를 수행하였다. 기존의 수동적 밸런싱의 단점을 보완한 능동적 밸런싱을 사용하였고 제안한 회로의 기능 및 성능의 검증을 위해 배터리 관리 장치 보드를 설계 및 제작하여 시험한 결과 개선된 기능이 원활히 수행됨을 확인하였다.

• Proceedings of the Materials Research Society of Korea Conference
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• 2011.10a
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• pp.1.1-1.1
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• 2011

Electrospinning has known to be very effective tool for production of versatile one-dimensional (1D) nanostructured materials such as nanofibers, nanorod, and nanotubes and for easily assembly to two-, three-dimensional(2D, 3D) nanostructures such as thin film, membrane, and nonwoven web, etc. We have studied on the electrospinning technology for novel energy storage and conversion materials such as advanced separator, dye sensitized solar cell, supercapacitor, etc. High heat-resistive nanofibrous membrane as a new separator for future lithium ion polymer battery was prepared by electrospinning of PVdF based composite solution. The novel nanofibrous composite nonwovens have tensile strength of above 50 MPa and modulus of above 1.3 GPa. The internal structure of the electrospun composite nanofiber with a diameter of few hundreds nanometer were composed of core-shell nanostructure. And also electrospun $TiO_2$ nanorod/nanosphere based dye-sensitized solar cells with high efficiency are successfully prepared. Some battery performance will be introduced.

• Proceedings of the KIPE Conference
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• 2017.11a
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• pp.161-162
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• 2017

배터리 팩에 사용되는 리튬이온 배터리는 셀의 양극활물질에 따라 특성이 다르다. 배터리 팩의 효율적 운용을 위해 단위 셀간 편차를 최소화 하는 것이 필요하다. 본 논문에서는 양극활물질이 다른 고출력 및 고용량 리튬이온 배터리 세 종류를 선정하여 IR 및 OCV를 측정하고, 통계적 분석 기반 셀 스크리닝을 진행하여 결과를 비교 분석하였다.

• Journal of the Korean Electrochemical Society
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• v.5 no.4
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• pp.197-201
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• 2002

In this study, a gel polymer electrolyte was prepared from urethane acrylate and its electrochemical performances were evaluated. And, $LiCoO_2/GPE/graphite$ cells were prepared and their performances depending on discharge currents and temperatures were evaluated. The precursor containing $5 vol\%$ curable mixture had a low viscosity relatively. Ionic conductivity of the gel polymer electrolyte at room temperature and $-20^{\circ}C$ was ca. $5.9\times10^{-3}S{\cdot}cm^{-1}\;and\;1.7\times10^{-3}S{\cdot}cm^{-1}$, respectively. GPE showed electrochemical stability up to potential of 4.5V vs. $Li/Li^+.LiCoO_2/GPE/graphite$ cell showed a good high-rate and a low-temperature performance.

• Journal of the Korean Electrochemical Society
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• v.6 no.3
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• pp.174-177
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• 2003

Electric double-layer capacitors based on charge storage at the interface between a high surface area activated carbon electrode and an electrolyte solution are characterized by their long cycle-life and high power density in comparison with batteries. However, energy density of electric double-layer capacitors obtained at present is about 6 Wh/kg at a power density of 500W/kg which is smaller as compared with that of batteries and limits the wide spread use of the capacitors. Therefore, a new capacitor that shows larger energy density than that of electric double-layer capacitors is proposed. The new capacitor is the hybrid capacitor consisting of activated carbon cathode, carbonaceous anode and an organic electrolyte. Maximum voltage applicable to the cell is over 4.2V that is larger than that of the electric double-layer capacitor. As a result, discharged energy density on the basis of stacked volume of electrode, current collector and separator is more than 18Wh/l at a power density of 500W/l.