The PC-based Dynamic Model Estimation for the Proton Exchange Membrane Fuel Cell
碩士 === 高苑科技大學 === 電機工程研究所 === 98 === This thesis is on the study of dynamic model and controller design of the proton exchange membrane fuel cell (PEMFC) in the PC-based structure. By using MATLAB/Simulink, the fuel cell is represented by second order differential equation with time delay. The simul...
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ndltd-TW-098KYIT04420042016-04-25T04:29:23Z http://ndltd.ncl.edu.tw/handle/99179425349520040354 The PC-based Dynamic Model Estimation for the Proton Exchange Membrane Fuel Cell 質子交換膜燃料電池在個人電腦架構下的動態模式估測 Hsia-Fan-Yen 顏夏凡 碩士 高苑科技大學 電機工程研究所 98 This thesis is on the study of dynamic model and controller design of the proton exchange membrane fuel cell (PEMFC) in the PC-based structure. By using MATLAB/Simulink, the fuel cell is represented by second order differential equation with time delay. The simulation is conducted for the PEMFC with four parameters to be determined. First, based on the chosen ranges of varying parameters, the combinations of parameter values are substituted into the numerical model. There are three experiments investigated in this thesis. The first one considers a single temperature and current operation condition. By using Taguchi method, the optimal parameters estimation is obtained and verified. In the second experiment, multiple conditions with different operation temperature and current are considered. The same Taguchi method as for experiment one is used for parameters estimation. In the third method considered the same multiple operation conditions as in experiment two, the fuzzy Taguchi method for multi-objective index for minimization of both the absolute error integration and maximum error integration is conducted. According to the obtained results, the second and third can obtain the same optimal parameters estimation in this study. Pang-Chia-Chen 陳邦家 2010 學位論文 ; thesis 64 zh-TW |
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碩士 === 高苑科技大學 === 電機工程研究所 === 98 === This thesis is on the study of dynamic model and controller design of the proton exchange membrane fuel cell (PEMFC) in the PC-based structure. By using MATLAB/Simulink, the fuel cell is represented by second order differential equation with time delay. The simulation is conducted for the PEMFC with four parameters to be determined. First, based on the chosen ranges of varying parameters, the combinations of parameter values are substituted into the numerical model.
There are three experiments investigated in this thesis. The first one considers a single temperature and current operation condition. By using Taguchi method, the optimal parameters estimation is obtained and verified. In the second experiment, multiple conditions with different operation temperature and current are considered. The same Taguchi method as for experiment one is used for parameters estimation. In the third method considered the same multiple operation conditions as in experiment two, the fuzzy Taguchi method for multi-objective index for minimization of both the absolute error integration and maximum error integration is conducted. According to the obtained results, the second and third can obtain the same optimal parameters estimation in this study.
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author2 |
Pang-Chia-Chen |
author_facet |
Pang-Chia-Chen Hsia-Fan-Yen 顏夏凡 |
author |
Hsia-Fan-Yen 顏夏凡 |
spellingShingle |
Hsia-Fan-Yen 顏夏凡 The PC-based Dynamic Model Estimation for the Proton Exchange Membrane Fuel Cell |
author_sort |
Hsia-Fan-Yen |
title |
The PC-based Dynamic Model Estimation for the Proton Exchange Membrane Fuel Cell |
title_short |
The PC-based Dynamic Model Estimation for the Proton Exchange Membrane Fuel Cell |
title_full |
The PC-based Dynamic Model Estimation for the Proton Exchange Membrane Fuel Cell |
title_fullStr |
The PC-based Dynamic Model Estimation for the Proton Exchange Membrane Fuel Cell |
title_full_unstemmed |
The PC-based Dynamic Model Estimation for the Proton Exchange Membrane Fuel Cell |
title_sort |
pc-based dynamic model estimation for the proton exchange membrane fuel cell |
publishDate |
2010 |
url |
http://ndltd.ncl.edu.tw/handle/99179425349520040354 |
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