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Estimation of electrode ionomer oxygen permeability and ionomer-phase oxygen transport resistance in polymer electrolyte fuel ceils

机译:聚合物电解质燃料电池中电极离聚物的透氧性和离聚物相的氧输运阻力的估算

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摘要

The oxygen permeability of perfluorinated and hydrocarbon polymer electrolyte membranes (PEMs; Nation~R, SPEEK and SPSU), which are used as electrolytes and electrode ionomers in polymer electrolyte fuel cells (PEFCs), was estimated using chronoamperometry using a modified fuel cell set-up. A thin, cylindrical microelectrode was embedded into the PEM and used as the working electrode. The PEM was sandwiched between 2 gas diffusion electrodes, one of which was catalyzed and served as the counter and pseudo-reference electrode. Independently, from fuel cell experiments, the oxygen transport resistance arising due to transport through the ionomer film covering the catalyst active sites was estimated at the limiting current and decoupled from the overall mass transport resistance. The in situ oxygen permeability measured at 80 °C and 75% RH of perfluorinated ionomers such as Nafion~R (3.85 x 10~(12) mol cm~(-1) s~(-1)) was observed to be an order of magnitude higher than that of hydrocarbon-based PEMs such as SPEEK (0.27 x 10~(12) mol crr~(-1) s~(-1)) and SPSU (0.15 x 10~(12) mol cm~(-1) s~(-1). The obtained oxygen transport (through ionomer film) resistance values (Nafion~R-1.6 s cm~(-1), SPEEK-2.2 s crr~(-1) and SPSU-3.0 s cm~(-1); at 80 °C and 75% RH) correlated well with the measured oxygen permeabilities in these ion-containing polymers.
机译:使用计时电流分析法,使用改进的燃料电池组,估算了用作聚合物电解质燃料电池(PEFC)的电解质和电极离聚物的全氟化和碳氢化合物聚合物电解质膜(PEM; Nation_R,SPEEK和SPSU)的透氧性向上。将薄的圆柱形微电极嵌入到PEM中,并用作工作电极。 PEM夹在2个气体扩散电极之间,其中之一被催化并用作对电极和伪参比电极。独立地,从燃料电池实验中,在限制电流下估计了由于通过覆盖催化剂活性位点的离聚物膜的传输而产生的氧气传输阻力,并与总的质量传输阻力解耦。观察到在80°C和RH的75%RH下,Nafion〜R(3.85 x 10〜(12)mol cm〜(-1)s〜(-1))等全氟离聚物的原位氧渗透率是有序的比SPEEK(0.27 x 10〜(12)mol crr〜(-1)s〜(-1))和SPSU(0.15 x 10〜(12)mol cm〜(-)的烃基PEM高1)s〜(-1)。获得的氧传输(通过离聚物薄膜)的电阻值(Nafion〜R-1.6 s cm〜(-1),SPEEK-2.2 s crr〜(-1)和SPSU-3.0 s cm 〜(-1);在80°C和75%RH下)与这些含离子聚合物中测得的氧渗透率具有很好的相关性。

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