scholarly journals Development and performance analysis of a metallic passive micro-direct methanol fuel cell for portable applications

2015 ◽  
Vol 40 (15) ◽  
pp. 5408-5415 ◽  
Author(s):  
D.S. Falcão ◽  
J.P. Pereira ◽  
C.M. Rangel ◽  
A.M.F.R. Pinto
Keyword(s):  
Fuel Cell ◽  
Performance Analysis ◽  
Direct Methanol Fuel Cell ◽  
Direct Methanol ◽  
And Performance ◽  
Methanol Fuel Cell

Development and performance analysis of a metallic micro-direct methanol fuel cell for high-performance applications

2010 ◽  
Vol 195 (21) ◽  
pp. 7338-7348 ◽  
Author(s):  
Bo Zhang ◽  
Yufeng Zhang ◽  
Hong He ◽  
Jianmin Li ◽  
Zhenyu Yuan ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Performance Analysis ◽  
Direct Methanol Fuel Cell ◽  
High Performance ◽  
Direct Methanol ◽  
And Performance ◽  
Methanol Fuel Cell

Fabrication and performance evaluation for a novel small planar passive direct methanol fuel cell stack

Fuel ◽  
2012 ◽  
Vol 94 ◽  
pp. 401-408 ◽  
Author(s):  
Ligang Feng ◽  
Weiwei Cai ◽  
Chenyang Li ◽  
Jing Zhang ◽  
Changpeng Liu ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Fuel Cell ◽  
Direct Methanol Fuel Cell ◽  
Fuel Cell Stack ◽  
Direct Methanol ◽  
And Performance ◽  
Methanol Fuel Cell

Design and Performance Analysis of Direct Methanol Fuel Cell

2011 ◽  
Vol 403-408 ◽  
pp. 4030-4035
Author(s):  
Ling Zhi Cao ◽  
Zhi Li Su ◽  
Chun Wen Li
Keyword(s):  
Neural Network ◽  
Fuel Cell ◽  
Network Model ◽  
Neural Network Model ◽  
Direct Methanol Fuel Cell ◽  
Cell Voltage ◽  
Direct Methanol ◽  
Different Temperatures ◽  
And Performance ◽  
Methanol Fuel Cell

It is necessary to built an accurate model of direct methanol fuel cell (DMFC) as a complex nonlinear multi-input multi-output system .In this paper .the methanol concentrations, temperature and current were considered as inputs, the cell voltage was taken as output, and the performance of a direct methanol fuel cell was modeled by neural network model. This model is based on Matlab / Simulink software .The simulation shows that the neural network model has better accuracy than the physical model, while analyzing the performance of the DMFC in different temperatures and concentrations.

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