A new semi-empirical approach to performance curves of polymer electrolyte fuel cells

Genetic Algorithms in Model Structure Identification for Fuel Cell Polarization Curve

“…This loss term is also present in many later suggested model structures. For example, in [13] an effort to explain all the model parameters with physical origin and meaning was made. Kulikovsky et al [14] developed an analytical model for the cathode side losses, having the limiting current expressed in a logarithmic term, as well.…”

Hydrogen PEMFC stack performance analysis: A data-driven approach

“…The 8-cells stack was assembled using MEAs from 3M Corporation, using Nafion ® 111 as proton exchange membrane (PEM). The active electrode area is 3.8 cm 2 . The stack uses a low power consumption air fan in the edge of the cathode manifolds, for combined high stoichiometric oxidant supply and stack cooling purposes, avoiding the use of costly, large, heavy and power consuming air pumps and external cooling systems [9].…”

“…The simplest empirical models do not explicitly take into account the cell spatial dimensions and are based on the direct fit of the experimental data to a non-linear polynomial expression [2] that reflects the three major overpotential losses components in the fuelcell: a) activation losses, due to the reaction energy barriers at the electrode-electrolyte interfaces; b) Ohmic losses due to cell internal resistance; and c) concentration losses, related to mass transfer limitations [3]. Thus, with this simple approach it is possible to characterise the observed fuel-cell losses and study how the different conditions affects each transfer mechanisms.…”

Mass Transport Limitations in Proton Exchange Membrane Fuel Cells and Electrolyzers

“…Semi-empirical approaches have been used to predict and analyze the fuel cell performance. Such an approach is the one by (Pisani, Murgia et al 2002). where the performance curve can be represented by:…”