2023
DOI: 10.1016/j.ijheatmasstransfer.2023.123966
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Temperature sensitivity characteristics of PEM fuel cell and output performance improvement based on optimal active temperature control

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Cited by 43 publications
(14 citation statements)
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“…However, with a further increase in the content of the inorganic component, we observed a sharp decrease in the value of the proton conductivity. At a high nanoparticle concentration, nanoparticles fill channels more densely, and accordingly, a decrease in proton conductivity takes place due to a decrease in pore space [29][30][31][32]. It should also be noted that the introduction of silica nanoparticles leads to the transition of the geometric capacity from CPE q to classical capacity, which is evidenced by the P parameter (Table 3), which is equal to 1.…”
Section: Resultsmentioning
confidence: 96%
“…However, with a further increase in the content of the inorganic component, we observed a sharp decrease in the value of the proton conductivity. At a high nanoparticle concentration, nanoparticles fill channels more densely, and accordingly, a decrease in proton conductivity takes place due to a decrease in pore space [29][30][31][32]. It should also be noted that the introduction of silica nanoparticles leads to the transition of the geometric capacity from CPE q to classical capacity, which is evidenced by the P parameter (Table 3), which is equal to 1.…”
Section: Resultsmentioning
confidence: 96%
“…More importantly, the TM atoms remain intact on the monolayer Nb 2 S 2 C even when subjected to AIMD simulations at an elevated temperature of 373 K (100 °C) as shown in Figure . Notably, the optimum operating temperature range for PEMC typically falls within 60–90 °C …”
Section: Resultsmentioning
confidence: 99%
“…Electrochemical impedance spectroscopy can be used to measure the effect of operation parameters, membrane resistance, interfacial kinetics of ORR and mass transport resistances on the fuel cell performance [30][31][32][33]. It delves into the microscopic electrochemical processes within the fuel cell by analyzing impedance across different frequencies, providing insights into resistance, capacitance, and electrochemical kinetics [34,35]. Lee et al [36] used EIS to measure the contribution of membrane resistance by analyzing high-frequency impedance behavior.…”
Section: Introductionmentioning
confidence: 99%