• Title/Summary/Keyword: 스택 진단

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Diagnostic Methode of the Fuel Cell Stack (연료전지 스택 진단 기술)

  • Park, Hyunseok;Kim, Ucksoo;Eom, Jeongyong
    • 한국신재생에너지학회:학술대회논문집
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    • 2010.11a
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    • pp.79.1-79.1
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    • 2010
  • 현재까지의 연료전지 스택 고장 진단 방법은 스택의 전류와 각 셀 전압값을 측정하고 그 측정된 값을 계산함으로써 스택의 고장 여부를 판단하는 것이었다. 이러한 방법은 수백개 이상의 스택의 셀 전압을 2~4개 단위로 측정하기 때문에 백개 이상의 측정 채널이 필요하다. 또한, 스택 진단 시스템을 복잡하게 하여 신뢰성을 저하시킬 뿐만 아니라 가격 상승을 유발한다. 본 논문에서는 이러한 문제점을 해결하기 위해 THDA(전고조파왜율 분석) 방법을 제안하였다. THDA는 스택에 교류 전류를 주입하고 스택 양단의 전압을 측정하여 주입된 교류 전류의 THD를 구함으로써 연료전지 스택의 상태를 진단하는 방법이다.

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Design and Control Method of the Fuel Cell Stack Diagnostic Bi-Directional Converter (연료전지 스택진단용 양방향 컨버터의 설계 및 제어기법)

  • Jegal, Jun-Hyeok;Choi, Bong-Yeon;Park, Jung-Min;Park, Hyun-Seok;Won, Chung-Yuen
    • Proceedings of the KIPE Conference
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    • 2015.11a
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    • pp.129-130
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    • 2015
  • 본 논문에서는 연료전지 스택진단용 양방향 컨버터의 설계 및 제어기법을 제안한다. 스택진단용 컨버터는 교류전류 제어를 위한 양방향 DC/DC 컨버터를 사용하였으며 컨버터의 전류를 교류로 제어하기 위한 전류 제어기법이 요구된다. 정확한 전류 제어를 위해 d-q 변환을 통해 전류 제어를 수행하였다. 본 논문에서 사용한 제어기법을 통해 넓은 입력전압 범위에서도 충전, 방전으로 연료전지에 교류 전류를 공급하여 연료전지의 전압 변화를 확인함으로써 연료전지 스택의 상태를 진단할 수 있다. 제안하는 컨버터의 제어기법에 대한 타당성은 PSIM 시뮬레이션을 통해 검증하였으며 1.5kW급 스택진단용 양방향 DC/DC 컨버터의 설계 기법을 제안하였다.

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Development of Real-time Diagnosis Method for PEMFC Stack via Intermodulation Method (Intermodulation 방법에 의한 자동차용 연료전지 스택의 실시간 진단방법 개발)

  • Lee, Young-Hyun;Yoo, Seungyeol;Kim, Jonghyeon
    • Transactions of the Korean Society of Automotive Engineers
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    • v.22 no.7
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    • pp.76-83
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    • 2014
  • During PEMFC(Proton Exchange Membrane Fuel Cell) operation monitoring and diagnosis are important issues for reliability and durability. Stack defect can be followed by a critical cell voltage drop in the stack. One method for monitoring the cell voltage is CVM(Cell Voltage Monitoring), where all cells in the stack are electrically connected to a voltage measuring system and monitored these voltages. The other methods are based on the EIS(Electrochemical Impedance Spectroscopy) and on nonlinear frequency response. In this paper, intermodulation(IM) method for diagnosis PEMFC stack is introduced. To detect one or more critical PEMFC cell voltage PEMFC stack is excited by two or more test sinusoid current, and the frequency response of the stack voltage is analyzed. If one or more critical cell voltage exists, higher harmonics on the voltage frequency spectrum will appear. For the proposed IM method, stack simulation and experiments are conducted.

Investigation on Neutron imaging method of bipolar plate for PEMFC (중성자 가시화를 통한 연료전지 분리판 평가)

  • Yoon, Jong-Jin;Cho, Kyu-Taek;Lee, Jong-Hyun;Ahn, Byung-Ki
    • 한국신재생에너지학회:학술대회논문집
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    • 2008.10a
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    • pp.14-16
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    • 2008
  • 자동차 구동용 연료전지 스택에 적용된 분리판에 대하여 연료전지 내부의 수분분포 및 농도를 측정할 수 있는 중성자 가시화 기법을 이용하여 구조진단을 실시하여 유로의 분기부 및 180도 회전부의 수분 응축과 같은 국부적인 Flooding 현상과 분리판의 반응면적 전체에 대한 불균일한 수분분포를 확인하였다. 신규 개발 스택에 적용된 분리판은 이러한 구조진단 결과를 바탕으로 변형된 유로 도입을 통한 180도 회전부 제거, 냉각수 입구와 인접한 부분에서 교차하게 되는 수소 출구 부분의 수분응축에 의한 Flooding 현상을 완화하기 위한 냉각수 유로를 적용하여 중성자 가시화 기법을 통하여 동일한 가습조건에서 부하에 따른 분리판 반응면적 전체에 대한 수분분포를 조사하였다.

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Technology of Fuel cell stack fault detection by THDA (전고조파 왜율 분석을 통한 연료전지 스택 고장진단 기술)

  • Kim, UckSoo;Park, HyunSeok;Kang, SunDoo;Eom, JeongYong
    • 한국신재생에너지학회:학술대회논문집
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    • 2011.11a
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    • pp.90.1-90.1
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    • 2011
  • This technology is applicable to Electrical vehicle that using Energy from Hydrogen Fueled Cell. Electricity & water is got from chemical reaction between H2 & O2 in stack. This technology is used when fault diagnosis of Fuel cell is needed. It is General method that measure each cell's voltage of stack for fault diagnosis. but, this technology is method of measuring entire voltage of stack. For this reason, fault diagnosis system is simplified and cost of system is lower than previous one. In normal stack condition, characteristic graph of voltage-current has linearity. In fault stack condition, it has non-linearity. we use this characteristic to diagnosis of stack fault. In this technology, Specific frequency current is injected into stack & Stack voltage is measured in response. After that, stack voltage difference is analyzed to diagnosis of stack fault. Presently, Development of current injection module & basic program of THDA is finished. in future we will develop the technology of precise measurement technology about entire stack voltage.

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Model - Based Sensor Fault Detection and Isolation for a Fuel Cell in an Automotive Application (모델 기반 연료전지 스택 온도 센서 고장 감지 및 판별)

  • Han, Jaeyoung;Kim, Younghyeon;Yu, Sangseok
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.41 no.11
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    • pp.735-742
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    • 2017
  • In this study, an effective model-based sensor fault detection methodology that can detect and isolate PEM temperature sensors fault is introduced. In fuel cell vehicle operation process, the stack temperature affects durability of a fuel cell. Thus, it is important for fault algorithm to detect the fault signals. The major objective of sensor fault detection is to guarantee the healthy operations of the fuel cell system and to prevent the stack from high temperature and low temperature. For the residual implementation, parity equation based on the state space is used to detect the sensors fault as stack temperature and coolant inlet temperature, and residual is compared with the healthy temperature signals. Then the residuals are evaluated by various fault scenarios that detect the presence of the sensor fault. In the result, the designed in this study fault algorithm can detect the fault signal.

Modeling of a PEM Fuel Cell Stack using Partial Least Squares and Artificial Neural Networks (부분최소자승법과 인공신경망을 이용한 고분자전해질 연료전지 스택의 모델링)

  • Han, In-Su;Shin, Hyun Khil
    • Korean Chemical Engineering Research
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    • v.53 no.2
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    • pp.236-242
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    • 2015
  • We present two data-driven modeling methods, partial least square (PLS) and artificial neural network (ANN), to predict the major operating and performance variables of a polymer electrolyte membrane (PEM) fuel cell stack. PLS and ANN models were constructed using the experimental data obtained from the testing of a 30 kW-class PEM fuel cell stack, and then were compared with each other in terms of their prediction and computational performances. To reduce the complexity of the models, we combined a variables importance on PLS projection (VIP) as a variable selection method into the modeling procedure in which the predictor variables are selected from a set of input operation variables. The modeling results showed that the ANN models outperformed the PLS models in predicting the average cell voltage and cathode outlet temperature of the fuel cell stack. However, the PLS models also offered satisfactory prediction performances although they can only capture linear correlations between the predictor and output variables. Depending on the degree of modeling accuracy and speed, both ANN and PLS models can be employed for performance predictions, offline and online optimizations, controls, and fault diagnoses in the field of PEM fuel cell designs and operations.

Development of Cylindrical Capacitive-Conductive Sensor to Evaluate Insulating Degradation for FCEV Stack (차량용 연료전지 스택의 절연열화 진단을 위한 원통형 정전용량-전기전도도 센서개발)

  • Kim, Jae-Hoon;Kim, Ju-Han;Kim, Yoon-Hyung;Cui, Jiang-Yue;Han, Sang-Ok;Yong, Gee-Joong
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.59 no.3
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    • pp.317-324
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    • 2010
  • It was used as measuring system to diagnose insulating condition, by which was kept a insulating resistance of inner stack and at the same time was cooled electrochemical heat of reaction of FCEV(fuel cell electric vehicle) stack that used a compressed hydrogen gas reacting with oxygen in accordance with variation on thermal degradation of nonconductive heat transfer fluid. Consequently it was developed a cylindrical multi-terminal capacitive-conductive sensor that could be attached to the internal surface of cooling system pipe to evaluate capacitance and conductivity of heat transfer fluid.

Image Processing of GPR Detection Data (GPR 탐사 데이터의 이미지 처리)

  • Lee, Hyun-Ho
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.20 no.4
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    • pp.104-110
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    • 2016
  • To get the empirical data of GPR detection and to develop the image prosessing program of GPR detection data, GPR detection were proceed by the underground pipes and cavities buried in the Chamber. In the case of non pavement and asphalt pavement, water filled cavity that was buried in 0.7m depth was able to detection. But in the case of 1.0 m and 1.3 m buring depth, water filled cavity was not able to detection. In the case of non-reinforced and reinforced concrete pavement, it was difficult to detect the cavity caused by signal interference. GPRiPP programs was developed for image processing of the GPR detection data. The major processing algorithm were background removal, stacking and gain function. With proper image processing of gain function and background removal in GPRiPP program, it was showed that similar results can be obtained with conventional image processing program.

A Device of Static Buffer Overflow Detection by using Function Summary and Tracking Information Flow of Buffer Domain (함수요약 및 버퍼의 도메인 정보흐름 추적에 의한 정적 버퍼넘침 탐지방안)

  • Lee, Hyung-Bong;Park, Jeong-Hyun;Park, Hyun-Mee
    • Journal of KIISE:Computing Practices and Letters
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    • v.7 no.6
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    • pp.703-714
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    • 2001
  • In C language, a local buffer overflow in stack can destroy control information stored near the buffer. In case the buffer overflow is used maliciously to overwrite the stored return address, the system is exposed to serious security vulnerabilities. This paper analyzes the process of buffer overflow hacking and methodologies to avoid the attacks in details. And it proposes a device of static buffer overflow detection by using function summary and tracking information flow of buffer domain at assembly source code level(SASS, Static Assembly Source code Scanner) and then show the feasibility and validity of it by implementing a prototype in Pentium based Linux environment.

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