Mário Veverka
Grochowski Hospital
4 Papers
14 Citations
Mário Veverka is an academic researcher from Grochowski Hospital. The author has contributed to research in topics: Chemistry & Computer science. The author has an hindex of 4, co-authored 4 publications. Previous affiliations of Mário Veverka include Tsinghua University.
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Papers
Proton exchange membrane fuel cell stack consistency: Evaluation methods, influencing factors, membrane electrode assembly parameters and improvement measures
TL;DR: In this paper , the evaluation methods of fuel cell stack consistency are summarized, and various influencing factors of consistency are discussed, including operation conditions, operating mode, control strategy, structure design, component materials, and manufacturing processes.
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Novel analytic method of membrane electrode assembly parameters for fuel cell consistency evaluation by micro-current excitation
Peng Ren,Chen Dongfang,Mário Veverka,Pucheng Pei,Chen Dongfang,Li Yuehua,Wu Ziyao,Lu Zhang,Li Zizhao,Mingkai Wang,He Wang,Wang Bozheng,Xizhong Wang +12 more
TL;DR: In this paper, a novel analytic method of MEA parameters is proposed with high accuracy and stability, which does not require high sampling frequency and data filtering of voltage signals anymore. But the method is not suitable for large-scale fuel cell stacks, and it cannot be applied to evaluate the MEA consistency of a long-time-stored seven-cell stack and recognizes part of the membranes ineffective.
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Analytical methods for the effect of anode nitrogen concentration on performance and voltage consistency of proton exchange membrane fuel cell stack
Chen Dongfang,Mário Veverka +1 more
TL;DR: In this paper , the effect of anode nitrogen concentration on stack performance and voltage consistency was investigated on a 16-cell stack with decreasing hydrogen concentration, and it was shown that the local voltage standard deviation is as high as 30 mV at 85% hydrogen concentration when the 16 cells were divided into four groups.
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Novel analytic method of membrane electrode assembly parameters for fuel cell consistency evaluation by micro-current excitation
Chen Dongfang,Mário Veverka +1 more
TL;DR: In this paper , a novel analytic method of MEA parameters is proposed with high accuracy and stability, which does not require high sampling frequency and data filtering of voltage signals anymore. But the method is not suitable for large-scale fuel cell stacks, and it cannot be applied to evaluate the MEA consistency of a long-time-stored seven-cell stack and recognizes part of the membranes ineffective.
14