Operating characteristics and performance stability of 5 W class direct methanol fuel cell stacks with different cathode flow patterns

2011 ◽  
Vol 36 (2) ◽  
pp. 1853-1861 ◽  
Author(s):  
Young-Chul Park ◽  
Dong-Hyun Peck ◽  
Sang-Keun Dong ◽  
Sang-Kyung Kim ◽  
Seongyop Lim ◽  
...  
2014 ◽  
Vol 11 (3) ◽  
Author(s):  
Chia-Chieh Shen ◽  
Guo-Bin Jung ◽  
Feng-Bor Weng ◽  
Chia-Chen Yeh ◽  
Chih-Hung Lee ◽  
...  

Increasing interest in utilizing direct methanol fuel cells for portable applications has prompted the need for understanding of their operating characteristics. Approximately 80% of a direct methanol fuel cell stack's volume and weight arise from the bipolar plates. The bipolar plates have grooved anode and cathode flow fields, and have a critical influence on the cell stack performance and stability. However, there is little published data regarding design expansion from single cell to stack, and literature regarding the fuel/oxidant distribution in each cell is especially scant. Hence, this topic is the subject of the present study, which reports the design of a complete direct methanol fuel cell consisting of five single cells including a graphite bipolar plate, as well as an innovative anode and cathode flow channel design. By observing variations in operating parameters, such as applied load and the flow of methanol solution and air, the impact of each parameter on the output performance and stability of the stack was investigated.


Fuel ◽  
2012 ◽  
Vol 94 ◽  
pp. 401-408 ◽  
Author(s):  
Ligang Feng ◽  
Weiwei Cai ◽  
Chenyang Li ◽  
Jing Zhang ◽  
Changpeng Liu ◽  
...  

2011 ◽  
Vol 403-408 ◽  
pp. 4030-4035
Author(s):  
Ling Zhi Cao ◽  
Zhi Li Su ◽  
Chun Wen Li

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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