• 전기학회논문지
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• 제65권11호
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• pp.1925-1930
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• 2016

Fuel cell power generation system, unlike conventional energy sources, converts chemical energy into electrical energy through electrochemical reaction of hydrogen and oxygen. This paper presents the control of interleaved multi-phase boost converter as the feasibility study on small-scale prototype electric railway vehicle application using fuel cell generation system. PSIM simulation program is to be used to implement the modeling of the electrical fuelcell as well as traction motor control with interleaved multi-phase boost converter. Comparing the input current ripple rate, two-phase interleaved boost converter is less than the boost converter. But the more multi-phase not less proportional to the ripple factor. we confirmed that the amplitude of the input current ripple rate of converter depend on duty ratio.

• 한국염색가공학회지
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• 제25권1호
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• pp.1-6
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• 2013

Nowdays, the computational simulation of molecular energy potentials and the empirical evidence using electrochemical reduction/oxidation values are very significant factors to predict of molecule's energy potentials. The prepared chemosensor herein consists of spirolactam ring system in the structure, providing intra-structural change with metal cation binding. In this study, rhodamine 6G-Naphthaldehyde chemosensor was determined and compared with HOMO/LUMO energy levels by computational calculation and cyclic voltammogram method.

• 한국소음진동공학회논문집
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• 제16권7호
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• pp.762-768
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• 2006

To address the need for new intelligent sensing of systems, this study presents a novel strain sensor based on piezoresistivity of carbon nanotube (CNT) and its nanocomposites. Fabrication and characterization of the carbon nanocomposite material are discussed and an electrical model of the CNT strain sensor was derived based on electrochemical impedance spectroscopy analysis and strain testing. The dynamic response of the sensor on a vibrating beam was simulated using numerical analysis and it was compared with experimental test. The simulation showed good agreement with the strain response of the actual sensor.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2006년도 춘계학술대회논문집
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• pp.930-935
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• 2006

To address the need for new intelligent sensing of systems, this study presents a novel strain sensor based on peizoresistivity of carbon nanotube (CNT) and its nanocomposites. Fabrication and characterization of the carbon nanocomposite material are discussed and an electrical model of the CNT strain sensor was derived based on electrochemical impedance spectroscopy analysis and strain testing. The dynamic response of the sensor on a vibrating beam was simulated using numerical analysis and it was compared with experimental test. The simulation showed good agreement with the strain response of the actual sensor.

• 센서학회지
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• 제24권3호
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• pp.159-164
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• 2015

Solid state electrochemical and chemo-resistive gas sensors have been used widely but can operate only under high temperature. For reducing the power consumption and optimizing the structure of the substrate of these sensors, we conducted device and circuit simulations using the COMSOL Multiphysics simulator. For assessing the effective types of substrate and heat isolation, we conducted three-dimensional thermal simulations in two separate parts; (a) by changing the shape of the contacting holes and (b) punching additional holes on the substrate. Thus, it was possible to achieve high temperature in the sensor end of the substrate while maintaining low power consumption, and temperature in the circuit.

• 한국표면공학회:학술대회논문집
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• 한국표면공학회 2012년도 추계총회 및 학술대회 논문집
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• pp.76-77
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• 2012

전기 도금 시스템에서 전산모사 해석을 이용하여 도금층 두께를 정확히 예측하기 위해서 음극 표면의 확산층이 고려된 도금 Simulator를 개발하였다. 특정 형상의 경우 도금액 교반이 원활하지 않아 불균일한 도금이 이루어지는 경우가 있기 때문에 이를 예측하기 위해서는 교반 영향을 나타내는 확산층을 고려해야 한다. 유동해석을 통해 도금액 교반 조건 및 형상에 따른 음극 표면의 유속을 결정하고 유속별 도금액 DB를 구성하여 음극의 위치별 분극곡선을 차별화하여 유동 조건에 따른 확산층 변화를 고려하는 형태로 구현하였다. 유속별 도금액 DB는 실험 데이터 및 해석 데이터를 종합하여 구축하였다. 교반의 영향을 많이 받는 시스템을 대상으로 개발된 Simulator 결과의 타당성을 검증하였고 확산층 적용에 따른 도금 결과의 차이를 확인하였다.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2019년도 전력전자학술대회
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• pp.459-460
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• 2019

The performance dynamics of battery is very sensitive to operating conditions (i.e temperature, load current, and state of charge). A model developed based on certain conditions may perform well under the similar conditions but can not accurately predict the performance for changing conditions. Thus, a generalized model is needed which can accurately emulate the battery dynamic behavior under all conditions. In addition, the components of the model should relate to the physicochemical processes that occur inside the battery. Electrochemical impedance curve shows better visible reflection of the processes inside battery as compared to voltage curve. The model trained for parameterization using neural network has better generalization than simple curve fitting. Thus, this study proposes recurrent neural network based parameterization of the Lithium ion battery model followed by impedance based identification.

• 한국수소및신에너지학회논문집
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• 제32권6호
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• pp.489-496
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• 2021

The performandce of polymer electrolyte membrane fuel cell depends on the effective management of heat and product water by the electrochemical reaction. This study is designed to investigate the parametric change of heat management along the channel of polymer electrolyte membrane. The model was developed by an aspen custom modeler that it can solve differential equation with distretization model. The model can simulate water transport through the membrane electrolyte that is coupled with heat generation. In order to verify the model, it is compared with the experimental data. The water transport behavior is then evaluated with the simulation model.

• 공업화학
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• 제34권3호
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• pp.241-246
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• 2023

Fuel cells are one of the renewable energy sources that have sparked a lot of scientific attention for solving problems related to the energy crisis and environmental pollution. One of the most crucial subjects concerning the utilization of fuel cells is modeling. Therefore, an analytical steady-state and dynamic fuel cell model was described in this study. The parameter for the identification process was investigated, and the MATLAB/Simulink implementation was demonstrated. A 15-W proton exchange membrane fuel cell was used to apply the suggested modeling methodology. Comparing experimental and simulation findings indicated that the model error was constrained to 3%. This study showed that temperature and humidity affect fuel cell performance.

• 전기화학회지
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• 제14권4호
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• pp.253-260
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• 2011

본 연구에서는 10개의 배터리로 구성된 모듈에 대한 열관리 전산모사를 수행하였다. 배터리의 구조를 단순화 하였고, 전기저항 등가식을 이용한 열전도 이론을 사용하였다. 2.6 mm의 좁은 배터리 사이의 간격에 대한 격자의 신뢰도 검증 실험을 진행하였고, 그 결과 배터리 사이에 최소 3개 이상 나누어진 격자의 형태가 필요하였다. 크게 모듈의 후면에서 공기가 유입되는 형태, 모듈의 상부에서 공기가 유입되는 형태 그리고 모듈의 하부에 공기가 유입되는 형태로 나누어 팬과 공기흡입구의 위치에 따른 모듈의 효과적인 냉각방법을 모색하였다. 배터리의 성능에 영향을 미치는 모듈의 최고온도와 배터리간의 온도 차이를 비교하였고, 공기의 유속을 비교하여 유체의 거동을 확인하였다. 모듈의 하부에서 공기가 유입되는 경우, $40.27^{\circ}C$로 가장 낮은 최고온도를 보였고, 모듈의 상부에서 공기가 유입되는 경우에 $0.73^{\circ}C$로 가장 적은 온도편차를 보였다.