2018
DOI: 10.1016/j.est.2018.03.020
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Air supply temperature impact on the PEMFC impedance

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Cited by 43 publications
(13 citation statements)
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“…The polarization curves for catalysts with platinum content of 20 wt.% have close values of kinetic current density and activity up to 30 • C. The structure of the sample with the lowest tin dioxide content Pt 20 SnO 2 5 /C is mainly represented by individual highly dispersed Pt and SnO 2 particles, which participate as a co-catalyst in ORR. Thus, Pt 20 Table 2 shows the values of kinetic current and catalyst activity at various temperatures.…”
Section: Electrochemical Studiesmentioning
confidence: 86%
See 1 more Smart Citation
“…The polarization curves for catalysts with platinum content of 20 wt.% have close values of kinetic current density and activity up to 30 • C. The structure of the sample with the lowest tin dioxide content Pt 20 SnO 2 5 /C is mainly represented by individual highly dispersed Pt and SnO 2 particles, which participate as a co-catalyst in ORR. Thus, Pt 20 Table 2 shows the values of kinetic current and catalyst activity at various temperatures.…”
Section: Electrochemical Studiesmentioning
confidence: 86%
“…However, widening of the range of external operating conditions (temperature and humidity) involves a number of challenges. First, drying of the ionexchange polymer is observed at high temperatures and low humidity, which leads to a deterioration in proton conductivity both in the catalytic layer ionomer and in the membrane [3][4][5][6]. Second, at negative temperatures, ice crystals are formed inside MEA components, and destruction of the catalytic layers and membrane occurs during freezethaw cycles [7][8][9][10][11][12][13].…”
Section: Introductionmentioning
confidence: 99%
“…Laribi et al [ 15 ] found that when the working temperature of the fuel cell rose from 60 to 140 °C, the resistance of the thin film rose with time, and the water content in the thin film decreased, so the ionic conductivity decreased.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, Laribi et al. optimized the impedance model of PEM fuel cell through a neural network, and the novel established model could diagnose the influence of the supply air temperature on the PEM fuel cell water management. Nevertheless, they only analyzed the effect of temperature from the perspective of impedance.…”
Section: Introductionmentioning
confidence: 99%
“…This model could effectively predict the steady-state and dynamic operation of two-phase flow under dynamic temperature, but they did not establish a mathematical model of dynamic temperature. In addition, Laribi et al [32] optimized the impedance model of PEM fuel cell through a neural network, and the novel established model could diagnose the influence of the supply air temperature on the PEM fuel cell water management. Nevertheless, they only analyzed the effect of temperature from the perspective of impedance.…”
Section: Introductionmentioning
confidence: 99%