Abstract
Competitive costs, rapid recharge, and high-energy density make small direct methanol fuel cells promising power sources for electronic equipment. Cell performance depends on several parameters, including current density, methanol concentration, and catalyst loadings. In this paper, a 1-D analytical model able to simulate the cell performance is interfaced to a stochastic optimization procedure in order to maximize the battery duration while minimizing methanol crossover.
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