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Membrane Durability in Heavy Duty Fuel Cells for Transit Bus Applications
An important goal of the present research program is to develop fundamental modeling tools in order to explore and understand the degradation mechanisms and to predict the membrane durability under conditions that are relevant for automotive applications. A specialized 1-D membrane electrolyte assembly (MEA) reaction-transport model was developed and integrated with a numerical algorithm for chemical membrane degradation via hydrogen peroxide mediated hydroxyl radical attack [3]. The time-dependent membrane dimensions and transport properties were calculated by considering the material and water losses caused by the chemical degradation. The model is thereby capable of simulating the chemical degradation rate, shown to be in good agreement with fluoride release and thinning data from accelerated stress tests. Using this model, we recently discovered an iron ion redox cycle in the MEA that controls the effect of cell voltage on membrane durability. Additionally, mechanical degradation was modelled using a finite element model with an elastic-viscoplastic constitutive relation that can simulate the stress and strain distributions in the MEA during hygrothermal variations such as wet/dry cycles [4]. This model was combined with a numerical framework for membrane fatigue, supported by experimental fatigue property measurements under cyclic tensile loadings, in order to estimate the fatigue lifetime distribution as a function of operating conditions and duty cycles.
In addition to the fundamental models, an empirical approach was established by utilizing a specialized accelerated membrane durability test (AMDT) [5] to predict membrane lifetime during field operation of fuel cell buses. The proposed AMDT applies enhanced levels of stress, such as elevated voltage, temperature, and humidity cycling, to ensure membrane failures consistent with those observed in historical bus field trials but in a much shorter time. Acceleration factors for each stressor were determined and employed to develop an empirical lifetime prediction model based on the general log linear - Weibull stress life distribution. The empirical model focuses on extrapolating the lifetime of membranes under AMDT conditions to a lifetime expected under actual bus conditions. The predictive ability of the model was benchmarked with recent field data from the fuel cell bus fleet in Whistler, BC, and applied to predict the bus lifetime resulting from various lifetime enhancing strategies.
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