• 대한금속재료학회지
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• 제49권5호
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• pp.419-424
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• 2011

Carbon nanotubes (CNTs) were directly synthesized on a copper (Cu) plate as a current collector by the catalytic thermal vapor deposition method for an electric double-layer capacitor (EDLC) electrode. The diameters of vertically aligned CNTs grown on the Cu plate were 20~30 nm. From cyclic voltammetry (CV) results, the CNTs/Cu electrode showed high specific capacitance with typical profiles of EDLCs. Rectangularshaped CV curves suggested that the CNTs/Cu electrode could be an excellent candidate for an EDLC electrode. The specific capacitances were in a range of 25~75 F/g with a scan rate of 10~100 mV/s and KOH electrolyte concentration 1~6 M, and were maintained up to 1000 charge/discharge cycles due to strong adhesion between the Cu substrate and the CNTs.

• KEPCO Journal on Electric Power and Energy
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• 제7권2호
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• pp.329-333
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• 2021

V2G (Vehicle to Grid) technology for an EV (Electric Vehicle) has been assumed as so promising in a near future for its useful energy resource concept but still yet to be developed around the world for specific service purposes through various R&BD projects. Basically, V2G returns power stored in vehicle at a cheaper or unused time to the grid at more expensive or highly peaked time, and is accordingly supposed to provide such roles like peak shaving or load levelling according to customer load curve, frequency regulation or ancillary reserves, and balancing power fluctuation to grid from the weather-sensitive renewable sources like wind or solar generations. However, it has recently been debated over its prominent usage as diffusing EVs and the required charging/discharging infrastructure, partially for its addition of EV ownership costs with more frequent charging/discharging events and user inconvenience with a relative long-time participation in the previously engaged V2G program. This study suggests that a Korean DR (Demand Response) service integrated V2G system especially based upon a dynamic charge/pause/discharge scheme newly proposed to ISO/IEC 15118 rev. 2 can deal with these concerns with more profitable business model, while fully making up for the additional component (ex. battery) and service costs. It also indicates that the optimum economic, environmental, and grid impacts can be simulated for this V2G-DR service particularly designed for EV aggregators (V2G service providers) by proposing a specific V2G engagement program for the mediated DR service providers and the distributed EV owners.

• 대한기계학회논문집A
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• 제39권6호
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• pp.639-644
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• 2015

원형 리튬 전지는 노트북, 파워툴이나 전기 자동차와 같이 고용량/고율 방전이 필요한 분야에서 널리 사용되는 이차전지 중의 하나로 저장된 화학 에너지를 전기화학적 반응을 통해 전기 에너지로 변환하는 장치이다. 센터 핀은 원형 리튬 전지 내에 가스 분출 채널 확보를 위해 젤리-롤 중심홀이 충/방전 중 좁혀지는 것을 방지하고, 낙하 충격 시 완충 작용으로 분리막 손상을 방지하여 내부 단락을 막아주는 역할을 담당하는 부품이다. 본 연구에서는 센터 핀의 중요한 역할들에 대해 실험적으로 검증하기 위해서 센터 핀 유/무에 따른 2 가지 실험을 진행하였다. 하나는 연속 50 회 충/방전 싸이클 후의 젤리-롤 중심홀의 변화이고, 다른 하나는 UL 표준 기준에 의한 자유 낙하 충격 실험을 통한 젤리-롤 내 분리막 손상에 의한 내부 단락 여부이다. 이러한 실험적 결과를 바탕으로 원형 전지의 센터핀이 안전성 측면에서 반드시 필요한 부품임을 확인할 수 있었다.

• 전기화학회지
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• 제21권4호
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• pp.61-67
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• 2018

새로운 전자 기기들이 등장함에 따라 시판되고 있는 리튬 이온 배터리 (lithium ion battery, LIB)는 다양한 문제에 직면해 있으며, 이와 관련하여 많은 해결 노력들이 시도되어 왔다. 차세대 이차 전지의 개발이라는 관점에서 LIB의 문제들을 해결하기 위해, 우리는 mesoporous carbon based on waste biomass (MCWB) 와 Polypyrrole (PPY) hydrogel과 같은 두 가지 종류의 촉매를 성공적으로 개발하였다. MCWB와 PPY hydrogel 촉매들은 전형적인 H3 타입 BET isotherm을 나타내었으며, 이는 micropore와 mseopore가 존재한다는 증거이다. 특히 PPY hydrogel을 기반으로 하는 해수 전지(seawater battery, SWB)의 경우, galvanostatic charge-discharge 시험에서 voltage efficiency성능은 MCWB를 적용한 battery보다 높았지만 Pt/C를 적용한 battery보다는 낮았다. 더욱 흥미롭게도, PPY hydrogel 기반의 SWB는 20 사이클(480hrs) 동안 우수한 가역적인 충/방전 특성을 나타내었으며, voltage efficiency성능은 70.32%에서 77.35% 범위의 우수한 특성을 나타내었다. 상기 연구 결과는 차세대 이차 전지를 위한 비귀금속 촉매 개발에 기여하는 결과라고 사료된다.

• 한국인터넷방송통신학회논문지
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• 제24권2호
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• pp.127-132
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• 2024

최근 이차전지는 다양한 산업 분야에서 사용되고 있다. 특히 소형 및 경량의 특성으로 스마트폰, 노트북, 태블릿 등 다양한 휴대용 전자기기에서 높은 에너지 밀도와 충·방전 효율을 토대로 전기자동차와 에너지저장시스템(Energy Storage System, ESS)의 핵심 부품으로 사용되고 있다. 하지만 이차전지의 과도한 충·방전에 따른 수명감소, 파열, 손상, 화재 등의 문제점이 발생하고 있다. 따라서 BMS(Battery Management System)를 통하여 과도한 충·방전을 보호하고 성능을 향상시킨다. 하지만 실제 리튬이온 배터리를 사용하여 BMS의 차단 및 보호범위 설정하는 데 있어서 이차전지의 수명감소, 파열, 손상, 화재의 문제점이 따른다. 따라서 본 논문에서는 배터리 충방전기와 시뮬레이터를 활용하여 이차전지 중 사용이 높은 리튬이온 배터리와 납축전지의 충전 및 방전 특성을 살펴본다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2007년도 추계학술대회 논문집 전기기기 및 에너지변환시스템부문
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• pp.247-249
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• 2007

Urban dynamometer driving schedule(FTP-75 mode) plays very significant role on automotive emission test, due to reference point. The overall system energy efficiency of a HEV(Hybrid Electric Vehicle) is highly dependent on the energy management strategy employed. An energy source is the heart of a HEV. In order to applicable to a vehicle component, it must be need to real world test result. But, the present state of things have numerous problems. In this paper, be studied performed based on HEV simulation software in virtual world and chassis dynamometer test in real world and the result make a comparative. Toyota Prius vehicle was adapted as a modeling and real testing to evaluate the hybrid components and energy balancing management. The point at issue is voltage and current analysis for HEV battery SOC(State of Charge), and verification for energy.

• 대한기계학회논문집B
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• 제24권6호
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• pp.760-768
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• 2000

Filter efficiency of electrically charged particle in uncharged fibrous filter was measured. In previous studies, the effect of charged particle on filter efficiency was investigated but there was difficulty in measuring of image effect that is appeared at the charged small particle. We could easily measure the image effect with charging small particles by photoelectric charging. The spark discharge aerosol generator and a differential mobility analyzer (DMA) were used to generate sub-micron monodisperse particles (${\leq}200$ nm). The generated particles were charged in photoelectric charging process using ultraviolet lamp and electric field. The filter efficiency of the charged particles, classified by another DMA, was measured in filter tester using a condensation nucleus counter (CNC) as function of particle diameter, particle charge and airflow velocity. It is shown that the filter efficiency increases with increasing charge number of the particle and is affected by particle size and flow velocity. Single fiber filter efficiency mainly depends on image force parameter and peclet number. The peclet number was not considered at previous other papers. We propose a modi fied experimental correlation as function of image force parameter and peclet number.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2019년도 추계학술대회
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• pp.70-72
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• 2019

For the safe and reliable operation of Lithium-ion batteries in Electric Vehicles (EVs) or Energy Storage Systems (ESSs), it is essential to have accurate information of the battery such as State of Charge (SOC). Many kinds of different techniques to estimate the SOC of the batteries have been developed so far such as the Kalman Filter. However, when it is applied to the multiple number of batteries it is difficult to maintain the accuracy of the estimation over all cells due to the difference in parameter value of each cell. Moreover the difference in the parameter of each cell may become larger as the operation time accumulates due to aging. In this paper a novel Deep Neural Network (DNN) based SOC estimation method for multi cell application is proposed. In the proposed method DNN is implemented to learn non-linear relationship of the voltage and current of the lithium-ion battery at different SOCs and different temperatures. In the training the voltage and current data of the Lithium battery at charge and discharge cycles obtained at different temperatures are used. After the comprehensive training with the data obtained with a cell resulting estimation algorithm is applied to the other cells. The experimental results show that the Mean Absolute Error (MAE) of the estimation is 0.56% at 25℃, and 3.16% at 60℃ with the proposed SOC estimation algorithm.

• 전력전자학회논문지
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• 제26권1호
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• pp.1-8
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• 2021

For the safe and reliable operation of lithium-ion batteries in electric vehicles or energy storage systems, having accurate information of the battery, such as the state of charge (SOC), is essential. Many different techniques of battery SOC estimation have been developed, such as the Kalman filter. However, when this filter is applied to multiple batteries, it has difficulty maintaining the accuracy of the estimation over all cells owing to the difference in parameter values of each cell. The difference in the parameter of each cell may increase as the operation time accumulates due to aging. In this paper, a novel deep neural network (DNN)-based SOC estimation method for multi-cell application is proposed. In the proposed method, DNN is implemented to determine the nonlinear relationships of the voltage and current at different SOCs and temperatures. In the training, the voltage and current data obtained at different temperatures during charge/discharge cycles are used. After the comprehensive training with the data obtained from the cycle test with a cell, the resulting algorithm is applied to estimate the SOC of other cells. Experimental results show that the mean absolute error of the estimation is 1.213% at 25℃ with the proposed DNN-based SOC estimation method.

• 한국입자에어로졸학회지
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• 제19권3호
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• pp.89-100
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• 2023

In our previous study, a wire-plate type electrostatic precipitator (ESP) was developed to collect bioaerosols of 100 nm size. In the study, various flow rates (40 ~ 100 L/min) and applied voltages (3 ~ 10 kV) were tested for experiment. In this study, numerical analysis was performed for the ESP of the previous study with the same flow rates and applied voltages, but with varying the size of bioaerosols to 0.04 ~ 2.5 ㎛. Overall, the numerical analysis results well predicted the experimental data. Bioaerosols of 0.1 ~ 0.5 ㎛ showed the minimum collection efficiency for all conditions because of low charge number. The effect of the ionic wind generated by the corona discharge was calculated. However, the ionic wind did not affect much the collection efficiency. The aerosol collection in the ESP of this study was due to the electrostatic force generated by particle charge in the electric field. This numerical study on the ESP can be used for the design and optimization of higher flow rate (> 100 L/min) ESP.