scholarly journals One-Dimensional, Transient Model of Heat, Mass, and Charge Transfer in a Proton Exchange Membrane

Author(s):  
Brandon Eaton ◽  
Michael R. von Spakovsky ◽  
Michael W. Ellis ◽  
Douglas J. Nelson ◽  
Benoit Olsommer ◽  
...  

Abstract A transient, one-dimensional, model of the membrane of a proton exchange membrane fuel cell is presented. The role of the membrane is to transport protons from the anode to cathode of the fuel cell while preventing the transport of other reactants. The membrane is modeled assuming mono-phase, multi-species flow. For water transport, the principle driving forces modeled are a convective force, an osmotic force (i.e. diffusion), and an electric force. The first of these results from a pressure gradient, the second from a concentration gradient, and the third from the migration of protons from anode to cathode and their effect (drag) on the dipole water molecules. Equations are developed for the conservation of protons and water, the conservation of thermal energy, and the variation of proton potential within the membrane. The model is solved using a fully implicit finite difference approach. Results showing the effects of current density, pressure gradients, water and heat fluxes, and fuel cell start-up on water concentration, temperature, and proton potential across the membrane are presented.

2012 ◽  
Vol 13 (4) ◽  
pp. 255-260 ◽  
Author(s):  
Anthony Thomas ◽  
Gael Maranzana ◽  
Sophie Didierjean ◽  
Jérôme Dillet ◽  
Olivier Lottin

Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 166
Author(s):  
Milos Milanovic ◽  
Verica Radisavljevic-Gajic

This paper presents a Proton-Exchange Membrane Fuel Cell (PEMFC) transient model in stack current cycling conditions and its partial optimal control. The derived model is used for a specific application of the recently published multistage control technique developed by the authors. The presented control-oriented transient PEMFC model is an extension of the steady-state control-oriented model previously established by the authors. The new model is experimentally validated for transient operating conditions on the Greenlight Innovation G60 testing station where the comparison of the experimental and simulation results is presented. The derived five-state nonlinear control-oriented model is linearized, and three clusters of eigenvalues can be clearly identified. This specific feature of the linearized model is known as the three timescale system. A novel multistage optimal control technique is particularly suitable for this class of systems. It is shown that this control technique enables the designer to construct a local LQR, pole-placement or any other linear controller type at the subsystem level completely independently, which further optimizes the performance of the whole non-decoupled system.


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