Modeling works which simulate the proton-exchange membrane fuel cell with the computational fluid dynamics approach involve the simultaneous solution of multiple, interconnected physics equations for fluid flows, heat transport, electrochemical reactions, and both protonic and electronic conduction. Modeling efforts vary by how they treat the physics within and adjacent to the membrane-electrode assembly (MEA). Certain approaches treat the MEA not as part of the computational domain, but rather an interface connecting the anode and cathode computational domains. These approaches may lack the ability to consistently model catalyst layer losses and MEA ohmic resistance. This work presents an upgraded interface formulation where coupled water, heat, and current transport behaviors of the MEA are modeled analytically. Improving upon the previous work, catalyst layer losses can now be modeled accurately without ad-hoc selection of model kinetic parameters. Key to the formulation is the incorporation of water absorption/desorption resistances. The interface model is developed with the consideration of only thru-plane variation, based upon varied fundamental research into each of the relevant physics. The model is validated against differential cell data with high- and low-humidity reactants. The agreement is very good in each case.
Polymer electrolyte membrane or proton-exchange membrane (PEM) fuel cells are electrochemical energy conversion devices that produce electrical energy from the chemical energy present in hydrogen fuel. Water and fractional waste heat are the byproducts. As the PEMFC operates at temperatures lower than those of other major technologies, it is a candidate for numerous applications. Interest from the automotive industry in low-humidity operation with thin (~ 30 μm) membranes has been noted. The major focus of fuel cell cost reduction and performance improvement strategies is said to be on the issues of (i) heat and water management and (ii) new material development [ 1 ].
The basic components of the PEM fuel cell can be explained by means of a cut-away diagram in Fig.
1
. A thin membrane-electrode assembly (MEA) separates the anode and cathode flow regions, sandwiched between the porous diffusion media. The left side is the negative, or anode terminal, and the right side is the positive, or cathode terminal. Electrical connection to an external circuit is made via the electrically conductive current collector plates and diffusion media. Both current collector plates typically have gas flow channels that direct the flow of the hydrogen fuel within the anode side, and the oxygen or air oxidizer on the cathode side. Both gas streams are typically pressurized, humidified, and supplied in carefully metered amounts.
Introductory cut-away schematic of a single-cell PEMFCFig. 1

The computational fluid dynamics (CFD) approach is used for PEMFC design and simulation. The computational domain can include the flow channels, diffusion layers, and the three MEA regions shown. The CFD approach has been successfully commercialized; however, the computational costs remain quite high. The PEMFC is a multi-scale problem. Simulation of even greatly simplified PEMFC flow-field designs had been reported in the literature benefitting from advances in parallel computing. Costs were driven by the requirements of meshing/discretizing the flow channels (~ 2 × 10 −3 m thickness) simultaneously with the extremely thin catalyst layers (~ 1–2 × 10 −5 m) and membranes (~ 3–20 × 10 −5 m) that comprise the MEA [ 2 ]. Significant validation efforts have followed this approach [ 3 , 4 ].
Interface CFD approaches omit the thin MEA from the computational domain, treating the MEA as an interface, which separates the anode and cathode flow domains [ 5 ]. The MEA can be treated as a reacting wall, with consumption/production source terms on either side to mimic its operation. This approach may entail less computational cost. It has been criticized in the literature, however, for lacking the capability to model reaction rates and losses occurring within the thin, porous catalyst layers, detailed water distribution in the membrane, and the important transient effects linked to these phenomena.
Since these interface approaches were first published, much research has improved the understanding of the multiple MEA physics. The objective of this work is to re-formulate and improve the interface approach to represent the MEA, accurately modeling the relevant physics (including catalyst layer losses), for steady-state problems. Improvements are meant to (i) better model the underlying MEA physics based upon the best available published results, and (ii) improve the methods for devising these calculations. Flow equations from the 3-D computational domains are not the focus here. Validation against differential cell data is undertaken where gas composition is known/uniform. The MEA composition must be thoroughly described for successful validation.
The MEA is represented as a two-dimensional interface that separates the anode and cathode computational domains. The MEA computational routine accesses the solution variables at the surface of each domain and produces fluxes into each of the physics. The role of the interface model in multi-domain approaches has been to approximate all the externally relevant behavior of the MEA (i.e., current generation, reactant consumption, water permeation, heat generation, etc.) by boundary conditions on both sides of the interface [ 6 ].
Figure
2
shows an MEA schematic with typical thickness dimensions included. The anode contains hydrogen, water vapor, and inert nitrogen species, while the cathode is modeled as a mixture of oxygen, water vapor, and inert nitrogen. The interface takes as boundary values, the anode (A) and cathode (C) solution variables from the GDL. The interface replaces the MEA, containing the anode catalyst layer (ACL), membrane (MEM) and cathode catalyst layer (CCL) regions, in the center portion of the figure, with sources, acting as boundary conditions.
Schematic of the MEA interface modelFig. 2

The MEA model has inputs and outputs shown in Fig.
3
. Inputs include gas pressure, temperature, mole fractions, and voltage from the adjacent anode and cathode cells within the gas diffusion layer (GDL). Mole fractions of the species present, such as water, hydrogen, and oxygen, are used similarly to the previous works. The outputs include estimates of current density, heat sources, reactant fluxes, water fluxes, and the water gain rate of the ionomer phase of the MEA.
Inputs and outputs of MEA interface modelFig. 3

A description of MEA dimensions and compositions is needed to estimate the various catalyst layer losses. The MEA has three regions: the anode catalyst layer, membrane, and cathode catalyst layer, denoted by ACL, MEM, and CCL, respectively.
The membrane is assumed to be Nafion, a solid ionomer which is nearly impervious to gas penetration, except for water vapor. A constant, selectable equivalent weight
The thicknesses of the three MEA zones, denoted
PEMFC catalyst layers are porous electrodes: with mixtures of platinum catalyst nanoparticles, the carbon support, the ionomer binder, water sorbed within the ionomer, and void space, that allow for reactant gas diffusion. The ionomer is the same EW as the membrane. The material components, their respective functions within the catalyst layer(s), and their transport roles are summarized in Table
1
. To define catalyst layer composition, several densities, molecular weights, and fundamental physical constants are listed in Table
2
. Catalyst layer composition described in Table
3
is assumed to be spatially uniform throughout its thickness. The composition of the anode catalyst layer (ACL) and cathode catalyst layer (CCL) is determined by four parameters: the platinum loading
Material components of catalyst layers Material component Function Transport role (Pt) Pt nanoparticles Catalyst particles Reaction (rxn) site location (C) Carbon black Support e− conduction to rxn site (Io) Ionomer (typ. Nafion) Binder H+ conduction to rxn site (W) Sorbed water within ionomer Enhances conductivity of ionomer H+ conduction to rxn site (V) Void space Allows gaseous reactant access Gaseous reactant transport to rxn Densities and molar masses of catalyst layer components Densities (g cm−3) Molar masses (g mole−1) Water density 1.0 Water molar mass 18 Ionomer dry density 2.0 Ionomer eq. weight 800–1200 (typ) Carbon black density 2.2 Hydrogen molar mass 2 Platinum density 21.0 Oxygen molar mass 32 Catalyst layer and membrane compositions Catalyst layers Membrane Catalyst layer thickness (m) Membrane thickness (m) Platinum loading mgPt cm−2 Ionomer equivalent weights (g/mol) Weight percent Pt/carbon in the catalyst powder (%) Crossover current density (A/m2) Ionomer-to-carbon ratio (–) Derived catalyst layer volume fractions/compositionsTable 1
Table 2
Table 3
Ionomer equilibrium water uptake is expressed in the form of a non-dimensional water uptake
Ionomer water uptake is modeled with reference to water activity, or gas humidity, at anode (
Water uptake within the ionomer
Ionomer volumetric swelling results in increased MEA thickness. While the in situ PEMFC environment compresses the MEA, a focused study concluded that, at typical cell assembly pressures, the water uptake is not significantly decreased [
14
]. The swollen membrane thickness with water uptake
The membrane is modeled as impermeable to gases, but considers the absorption, desorption, and permeation of water. The current density
The three transport properties
The electroosmotic drag coefficient,
Interfacial resistance to water transport must be considered. Water absorption into the ionomer, and desorption out of the ionomer phase occurs as Eq. (
8
), where
Relations for the transport properties
These newer water uptake data are believed to be more representative of the in situ PEMFC environment. The ionic conductivity of Nafion 11 × membrane at 80 °C and 100% humidity is known to be around
An MEA hydration and temperature profile are needed. Approximate heat and water transport equations must be solved within the MEA to estimate ohmic resistances, effective catalyst layer losses, and current density. The interface model iteratively calculates (i) a water content profile, (ii) current density, and (iii) a temperature profile.
Figure
4
shows a profile schematic to explain the water and heat transport equations. An approximate water content profile
Temperature and water content profile schematic of proposed interface modelFig. 4

The water transport model employs convective boundary conditions of water absorption and desorption. The MEA can gain or lose water content. The water content profile utilizes three equations: two values of its slope, at points 1 and 3, in addition to the integrated water content
The water contents are found by assembling three equations to solve for the three unknown water contents. The first equation relates the MEA water content
The second equation examines the slope in the water content profile at
z
= 0, the ACL–membrane interface. There is water flux to/from the ionomer by absorption or desorption from the anode gas stream, according to the absorption/desorption kinetics previously given. The water flux within the membrane should be identical, being driven by the combination of electroosmotic drag and back diffusion. The absorption flux (positive) or desorption flux (negative) is presented as Eq. (
11
) and the water flux within the ionomer phase at
z
= 0 is written as Eq. (
12
) using a three-point estimate of the slope at
z
= 0:
The expression simplifies to Eq. (
13
). The transport properties (drag coefficient
The third equation sets the slope in the water content profile at
Water production by the ORR also occurs here. If interfacial resistance to water transport is incorporated into modeling efforts, a decision needs to be made as to where water creation occurs: in the CCL gaseous phase, ionomer phase, or directly as liquid. The extensive investigations of Wu et al. [ 24 , 25 ] have explained that water creation takes place in the ionomer phase.
The flux into the cathode, by electroosmotic drag and diffusion, is added to the product water creation, and set equal to desorption/absorption flux exiting the cathode into the cathode gas stream. Equating the water fluxes
Together, there is a system of three equations and three unknowns to solve for the water contents in Eq. (
18
). The solution updates
The water gain rate within the MEA,
Gas transport losses within the anode and cathode catalyst layers are considered in this section. Hydrogen and oxygen reactants are consumed through the thicknesses of anode and cathode porous catalyst layers (electrodes). Reaction rates will vary with depth through the catalyst layer; however, the distribution of reaction rates is predominantly shaped by conduction losses in the catalyst layer’s ionomer [
26
,
27
] and not by normally occurring variations in reactant gas concentration. The reactant mole fractions at the outer edge of the ACL and CCL,
The through-plane gas-phase transport of the reactants occurs due to diffusion; pressure-driven flow is not considered. The consumption of reactants causes a gradient in the reactant mole fractions between the outer edge of the ACL/CCL and the membrane–catalyst layer interfaces. A simplified approach is employed; it assumes that all the reactants to be consumed (by stoichiometric requirements) must diffuse over an effective length. Effective length is treated as a known here, but it is determined analytically by conduction effects in a later section. The calculation details of the effective catalyst layer diffusion coefficients were given in [ 13 ]. Both molecular diffusion and Knudsen diffusion mechanisms must be accounted for. Porosity and tortuosity effects can be accounted for to produce an effective oxygen or hydrogen diffusivity. A reduction in mole fraction, at the catalyst layer’s mean reaction depth, can be calculated given the reactant flux necessary for the given current density.
Kinetic losses, or activation losses, within the anode and cathode catalyst layers are considered in this section. These are the voltage losses required to drive the chemical reactions at the rate (current density) required. Anode kinetics typically is not that important to a PEMFC model as the hydrogen oxidation reaction (HOR) is quite facile, with a large exchange current density. Cathode kinetics is very important to PEMFC modeling and the subject of a great deal more research. The oxygen reduction reaction (ORR) occurring at the cathode is a source of major voltage loss with currently available practical PEMFC catalyst configurations. The kinetic models and parameters associated with each reaction need to be detailed. These are gathered from focused research in each area. This information is then subsequently used to calculate the ohmic loss terms within the MEA and estimate current density.
Anode kinetics follows the general Butler–Volmer (BV) model. The ideal BV model pre-supposes an anode catalyst layer (ACL) without ohmic resistance or gas diffusion losses [
8
,
28
] in Eq. (
23
), where
The HOR reaction is facile; the exchange current density can reach ~ 20 times or more the size of the maximum operating current density at typical operating conditions. The bracketed term must necessarily be small as well and so the arguments to the exponential terms are typically less than 0.15. With this limitation, the linearized BV equation in Eq. (
24
) can represent the losses of the HOR [
8
,
28
]:
Several sources indicate that the reaction is symmetric, i.e.,
The superficial exchange current density term,
The catalyst-specific exchange current density for the HOR on the carbon-supported platinum catalyst,
The term
Carbon black supports, such as the commercially available product Vulcan XC-72 (Cabot Corp), were seen with relatively large pore-size distributions (PSD). Carbon supports with larger PSD tend to have higher ionomer coverage [
34
] of the catalyst sites, and less reliance on surface-adsorbed water for proton conduction within the CL. For such a carbon black support, the ECSA is treated here as decreasing linearly with local CL water content
This section described the HOR kinetic losses and superficial exchange current density
BV kinetics simplify to Tafel kinetics when modeling the ORR occurring at the CCL. With very low exchange current density, and without significant conduction or diffusional losses, Tafel kinetics follows Eq. (
28
) [
37
] where the term
Experimental works have shown considerable disagreement in measuring the Tafel slope. Some works have reported “double Tafel slopes” where the values consistent with
The superficial exchange current density for the ORR
The catalyst-specific exchange current density for the ORR on the carbon-supported platinum catalyst,
This section details the effective ohmic resistances present within the MEA. These resistances are needed for the current estimation. Ohmic losses within the interface are calculated from the hydration-dependent conductivities.
In situ high-frequency resistance (HFR) measurement produces
The Interface model MEA contains electronic conduction resistances
When comparing the interface model directly to experimental data, additional bulk resistances must be included in the electronic resistance term. Electronic bulk conduction losses may occur outside of the interface (MEA) region; in the anode and cathode diffusion media and the conductive flow-field plates. Electronic contact resistances can also be found between the diffusion media and flow-field plates.
The membrane proton conduction resistance
The voltage drop occurring in the ACL is modeled by an analytical solution which accounts for both kinetic and ohmic losses simultaneously. Kulikovsky [ 28 ] developed an analytical solution for anode overpotential, in the absence of gas-phase diffusional losses (assuming ideal reactant transport), which will be expanded somewhat to account for ACL swelling which was not originally considered.
The ACL overpotential first depends on the ACL electrode sheet resistance,
The anode catalyst layer thickness can be viewed as being split into a conduction and diffusion thickness. The effective conduction thickness,
The anode loss
If a small argument approximation is applied to linearize the arcsinh function, the relation can be re-written to appear explicitly linear as Eq. (
38
). The ACL voltage losses have been assessed, experimentally, as being not completely linear with current density in a hydrogen concentration cell [
19
,
29
,
30
]. This last linearization is not employed here. The effective catalyst layer conduction resistance
Finally, the bounds of validity of this anode loss approximation are addressed. This anode loss relationship was formed using a small argument simplification, described as the low-current approximation. The anode loss estimate has Eq. (
40
) as a restriction on its validity:
With practical ACL compositions, the right-most ratio is significantly greater than 1, and so, the coth function produces a result of very nearly unity. This relationship is thus valid when the ratio of ACL kinetic resistance
The effective cathode catalyst layer resistance is derived from an analytical solution that was presented by Wang and Feng [ 26 , 27 ], as well as Neyerlin et al. [ 19 , 37 ].
The analytical solution was developed incorporating several simplifying assumptions within the catalyst layers. The spatial distribution of all material phases (volume fractions) within the CL is assumed constant, as is the ionomer water content within the CCL, where there is constant ionic conductivity. Another key assumption of this analytical solution is that the solid phase, or electronic phase, is thought to have constant phase potential through the thickness of the electrode; electrical conduction losses are assumed insignificant. Electrical contact resistances were incorporated at the outer edge of the catalyst layers. The CCL is assumed to be effectively isothermal [ 26 ]. Under these conditions, variations in reaction rate within a porous electrode are dependent upon conduction losses and the Tafel slope of the reaction.
Reactant gaseous concentration levels are assumed to be constant within the variable depth of the catalyst layer, which is also referred to as the absence of
The electrode sheet resistance
A dimensionless performance parameter
The effective catalyst layer conduction resistance
The thickness of cathode catalyst layer can then be viewed as being split into a conduction and diffusion thickness. The effective conduction length,
This section describes the voltage–current relationships in the interface model. Established voltage and current relationships are used to produce an updated estimate of current density with the Newton–Raphson technique.
The thermodynamically determined open circuit, ideal, or reversible voltage can be calculated from the established thermodynamic relationships. The relationship used in this work was given by Liu et al. [
7
]. The reversible cell voltage
The cell voltage in Eq. (
48
) is the difference between cathode (
The voltage loss
The interface takes as inputs the temperatures from the opposite sides of the MEA and outputs heat fluxes to the anode and cathode computational domains. Some earlier interface models created a thermal source term at the cathode GDL/MEA interface based upon the (estimated) overall efficiency of the device [ 42 ]. This present model divides the heat flux between anode and cathode, but does not go into high detail examining the spatial distribution of heat generation within catalyst layers. It is included, because several terms from the interface model were given temperature-dependent.
A 1-D temperature profile estimates the temperature rise in the MEA in Fig.
4
. Temperatures
This section applies a general heat transport equation to the MEA. Heat generation within the regions of the MEA has been detailed [ 43 ]; it typically occurs predominantly within the CCL. The thermal conductivities and heat generation terms of each region of the MEA are collected. Convective effects within the MEA are ignored, following similar work [ 44 ]. Heat transport in the thru-plane direction occurs by conduction, with the thermal conductivity being hydration-dependent. The regions of the MEA are thought to be isotropic and thermal contact resistances between the layers of the MEA are thought to be negligible [ 45 ].
The governing equation of heat transport can be written as Eq. (
52
), where
Estimates of the superficial heat generation,
Within the membrane, there is only the irreversible heat source of ohmic losses (protonic conduction losses). The membrane superficial heat generation is expressed by the following equation:
The cathode catalyst layer has both reversible and irreversible heat sources in Eq. (
55
). Reversible heat generation in the CCL stems from the entropy change of the overall reaction, and irreversible heat generation from the cathode activation (kinetic) and ohmic losses. The entropy change of the reaction,
The temperature profile within the MEA is now to be determined. Referring to Fig. 4 , there are seven temperature values in the approximate profile, and thermal contact resistances are negligible [ 45 ]. The regional heat sources are approximately uniform (within each region). The temperature profile can be expressed as the solution to a system of five heat transfer equations with the five unknown temperatures.
The conservation of energy equation, Eq. (
52
), is applied to the anode catalyst layer in Eq. (
56
), the membrane in Eq. (
57
), and the cathode catalyst layer in Eq. (
58
):
A continuity of heat flux requirement can be applied at the ACL–membrane interface in Eq. (
59
) and the membrane–CCL interface in Eq. (
60
):
After re-arrangement and simplification, the temperature profile can be expressed as Eq. (
61
). The term
When the iterative scheme of the previous sections converges on a MEA current density estimate, temperature profile, and water-content profile, the interface model produces its outputs to the 3-D computational domains. Boundary conditions on the anode and cathode side of the MEA represent current density, heat flux, reactant consumption, and water flux in Eq. (
64
). Water content is also updated:
This section describes the iterative operation of the interface model. As described, this algorithm can be run within a general-purpose computing package such as MATLAB. The main variables of the iterative routine are given in Table
4
. In the inner loop, the water content
Principal interface variables for iterative solution Symbol Description { Water content profile { Water fluxes { Water content of the ionomer phase of the MEA { Current density { Temperature profile { Thermal fluxesTable 4
First, the water content profile
The outer loop operates to adjust overall hydration and boundary water flux values, in addition to the remaining boundary conditions described in the previous section. These calculations run only after a converged estimate of current density
The convergence of the algorithm was assessed with two criteria: current density and water gain rate. Verification cases produced convergence of the MEA current density {
The Non-equilibrium Interface Model of membrane-electrode assembly (MEA) behavior is validated through the use of a previously published experimental data set from Neyerlin et al. [
19
]. The interface model is intended to simulate the localized behavior of a larger device, but here is validated against a small-area PEMFC with spatially uniform flow conditions. The experiment requires well-defined MEA compositions to be meaningful. Solutions here consider only effects in the thru-plane direction and ignore variations of input parameters (properties) in the planar directions, treating those conditions as locally uniform. Figure
5
shows a flowchart of the solution scheme.
Flowchart of the staged solution schemeFig. 5

With uniform conditions within the anode and cathode gas streams, model predictions are compared against the measurements of cell ohmic resistance and the several voltage components. The voltage components are generally divided and described according to their respective loss mechanisms. Kinetic losses of the cathode’s ORR reaction are presented as the first loss mechanism. Some discrepancies exist in the treatment of these losses. Ohmic losses of the membrane are the second loss mechanism. Cell ohmic resistance measurements reflect changes in hydration levels of the membrane. Ohmic losses associated with the ACL and CCL are also assessed. The measured cell voltage is shown with and without correction for high-frequency resistance (HFR).
The differential PEMFC was built with small planar dimension (i.e., 0.5 cm 2 ) and operated with gas flows of very high stoichiometry (10–100). The intention is to create aforementioned conditions as uniform as possible within the anode and cathode. The collection of experiments was performed to examine voltage losses within the cathode catalyst layer under operating conditions where full 100% catalyst utilization does not occur. The sources of voltage loss could be concurrently assessed (with catalyst layers of well-defined composition). For the purposes (here) of developing a useful interface model, a means of estimating ACL and CCL losses under all relevant operating conditions is needed. This validation step provides a means of checking the model’s estimates against relevant experimental data.
The experiment explicitly made the assumption that diffusional losses within the differential PEMFC could be neglected, an assumption which sets the gas pressures, temperatures, and mole fractions from the inlet(s) of the anode and cathode as the same as those adjacent to the MEA. Diffusional losses within the catalyst layers are similarly not considered by the experiment. The task of estimating ACL/CCL losses is then contemplated as estimating the effective protonic conduction resistance(s) within the ACL and CCL. Temperature rise was not considered. Temperature rise and diffusional losses within the MEA are estimated, however, by the interface model.
Operating conditions are shown in Table
5
. Humidified hydrogen and oxygen were used as reactant gases. The gases were 100% humidified and 60% humidified at
T
= 80 °C. Hydrogen and oxygen partial pressures were reported as 101 kPa, and hydrogen and oxygen partial pressures were identical. The saturation pressure of water vapor is 47.79 kPa at 80 °C, and therefore, the total pressures are 149/130 kPa for the cases of 100%/60% RH. Constant gas flow rates of 1050 sccm for hydrogen and 600 sccm for oxygen feeds were used, guaranteeing minimum stoichiometric ratios of 20 (anode) and 23 (cathode) at the largest current density of 1.5 A/cm
2
. The uniformly high stoichiometric ratio of the gas flows should create spatially uniform water and current distribution within the plane of the MEA, creating the sought after differential cell flow condition. The pressure drop from inlet to outlet was reported as only 3 kPa or less; it is not considered further.
Operating conditions and parameters from the water transport validation experiment Parameter Symbol Value Operating cell voltage 0.87–0.76 V Average current density 0.030–1.0, 1.25, 1.5 A cm−2 MEA area (length × width) 5 cm2 Anode Cathode Parameter Symbol Value Parameter Symbol Value Operating pressure Case 1: 149.09 kPa Case 2: 129.95 kPa Operating pressure Case 1: 149.09 kPa Case 2: 129.95 kPa Stoichiometric flow ratio 20.0 (min) Stoichiometric flow ratio 23.0 (min) Relative humidity Case 1: 100% Case 2: 60% Relative humidity Case 1: 100% Case 2: 60% Inlet temperature 353.15 K Inlet temperature 353.15 K Cell temperature 353.15 K Cell temperature 353.15 KTable 5
The mol fractions of hydrogen/oxygen, water vapor, and inert nitrogen are calculated from their respective partial pressures. The relevant gas pressures and mole fractions settings are shown below in Table
6
.
Gas input compositions of anode and cathode from the water transport validation experiment Case 1: 80 °C temperature 101 kPa reactant partial pressures 100% RH Anode Cathode Case 2: 80 °C temperature 101 kPa reactant partial pressures 60% RH Anode CathodeTable 6
The differential PEMFC, with active area of 5 cm
2
, was formed by two graphite interdigitated flow fields compressing the respective anode and cathode diffusion media (DM) and MEA between them. A Teflon gasket was utilized to seal the perimeter. The diffusion media were carbon fiber paper substrates (Toray, Inc.) subsequently hydrophobized with polytetrafluoroethylene (PTFE) and given an un-described surface treatment. Their thickness and composition is not further described, because that work assumes the absence of oxygen diffusion losses in these DM. Table
7
shows the MEA composition. The membrane has 1100 equivalent weight (EW) Nafion ionomer with a nominal thickness of 25 μm which is quoted at 50% RH. For modeling purposes, a dry thickness of 22 μm is used as that corresponds to a swollen membrane thickness of 25 μm at 50% RH. A crossover current density of 1 mA/cm
2
was assumed here.
MEA compositions compiled from the experiment Membrane Ionomer equivalent weight 1100 g/mol SO3− Thickness (dry) 22 × 10−6 m Crossover current density 10 A/m2 Anode catalyst layer Platinum loading 0.35 mgPt/cm2 Pt/C mass ratio 50 % Ionomer-to-carbon ratio 1.4 – Thickness (dry) 12 × 10−6 m Available catalyst area 50 Specific exchange current density 0.24 Cathode catalyst layer Platinum loading 0.5 mgPt/cm2 Pt/C mass ratio 50 % Ionomer-to-carbon ratio 1.4 – Thickness (dry) 18 × 10−6 m Available catalyst area 50 Specific exchange current density 2 × 10−8 Electronic Cell electronic resistance 0.034 Ω cm2Table 7
The anode catalyst layer (ACL) has platinum loading of 0.35 mg Pt /cm 2 and a thickness of 12 μm. It was made from carbon-supported PT catalyst with 50% Pt/C mass ratio. The ionomer-to-carbon ratio was 1.4, which yielded nearly the given ionomer volume fraction of 0.2. The cathode catalyst layer (CCL) has platinum loading of 0.50 mg Pt /cm 2 and a thickness of 18 μm.
An estimate of the purely electronic resistances within the differential PEMFC was created experimentally. A dummy cell was created from the differential PEMFC when the MEA was removed and the device reassembled. Electrical resistance measurements of the dummy cell were used to estimate the PEMFC electrical resistances. The electronic conduction losses are considered constant, independent of temperature and humidity effects. The supplied resistance value (0.030 Ω cm 2 ) was adjusted upward, slightly, to (0.034 Ω cm 2 ) compensate for the contact resistances between the GDL and MEA (missing from the dummy cell’s resistance measurement).
Polarization curves were measured at 11 points with current densities of 0.03, 0.045, 0.065, 0.1, 0.2, 0.3, 0.5, 0.75, 1.0, 1.25, and 1.5 A/cm 2 . Measurements of HFR were performed after each point, as well. A separate test estimated the hydration-dependent voltage losses of the anode. Hydrogen-pump measurements, performed under identical pressure and humidity operating conditions, provided an estimate of the voltage loss associated with the combined kinetic and conduction losses within the anode of the PEMFC. The voltage losses appeared as almost constant resistances, with the low-humidity case presenting, as expected, a greater effective resistance.
Interface model results are compared against the published experimental data. The experimental work reported, for the conditions given, the cell voltage
The HFR-corrected voltage is the sum of the measured cell voltage and measured cell ohmic losses (from HFR) as in Eq. (
65
). The kinetic voltage was found experimentally by adding the HFR-corrected voltage to ohmic corrections accounting for protonic conduction losses in the anode and cathode catalyst layers, in Eq. (
66
), where
The anode effective resistance
The interface model was used to create results at current density values comparable to the experiment. The water gain rate in the MEA,
HFR measurements are compared against the interface model in Fig.
6
. Experimental results at 60% RH show greater variation with current density than those at 100% RH. Though resistance readings below 0.1 A/cm
2
might be unreliable, HFR measurements at 60% RH show a drop with increasing current density. This drop is reproduced correctly by the model. It is the drop in resistance with decreasing current density, seen in the experiments, that is not reproduced by the model. It is not clear if this is due to experimental error or model deficiency. The HFR predictions at 100% RH now reflect the experimental data where resistance levels increase from 0.053 to 0.055 Ω cm
2
at 1–1.5 A/cm
2
.
Measured HFR and calculations of HFR from the interface modelFig. 6

Voltage measurements are compared against the interface model at 100% RH in Fig.
7
. In the figure, the kinetic voltages predicted by this model utilize the active catalyst area given by the experiment. The gap between kinetic voltages and HFR-corrected voltages, predicted by this model, indicates a correct assessment of the summed ACL + CCL effective resistances. Thus, the non-equilibrium model accounts for the effective catalyst layer resistances correctly. The HFR predictions at 100% RH agreed well with the experimental values, and hence, the gap between cell voltage and the HFR-corrected voltage is also equal in both model and experiment. It follows that cell voltage levels show good agreement with measured values.
Measured and modeled voltages from the non-equilibrium interface at 100% RHFig. 7

Voltage measurements are compared against the non-equilibrium interface model at 60% RH in Fig.
8
. The gap between kinetic voltages and HFR-corrected voltages, predicted by this model, indicates a slight underestimation of the summed ACL + CCL losses. The HFR predictions agreed well with the experimental values, and hence, the gap between cell voltage and HFR-corrected voltage is also equal between model and experiment. The resulting cell voltage levels from the model are slightly above experimental values due to the slight underestimation of the effective ACL resistance. The differences typically were under 6–10 mV, which is similar to the amount of scatter found in the testing of the underlying cathode kinetic loss relationships [
37
].
Measured and modeled voltages from the interface model at 60% RHFig. 8

Anode voltage loss, through a hydrogen-pump test, was also reported for both cases. Anode losses were reported as 30 mV at 1.5 A/cm
2
, or = 0.02 Ω cm
2
for the low-humidity case, and only reached 5 mV in the high-humidity case. Figure
9
shows anode voltage loss data against the model predictions. Anode losses of the low-humidity case are correctly assessed, while the very small anode losses of the high-humidity case were predicted as greater than the experimentally derived values. ACL conduction losses are frequently ignored entirely; this minor disagreement is not deemed critical.
Measured and modeled anode losses from the interface modelFig. 9

The interface model matched experimental data produced from a well-defined differential PEMFC of known material composition. Ionic conductivity within the MEA is determined principally by the ionomer’s water content. Hence, ohmic losses within the MEA are determined by the solution to a water transport problem. The model was evaluated based upon the ability to match resistance, voltage, and catalyst layer losses at varying humidity levels. With correct assessment of catalyst layer losses, it is not necessary to manipulate the treatment of cathode kinetic losses (Tafel slope and exchange current density) on a case-by-case basis to mimic the observed experimental results.
Neyerlin et al. worked to assess the kinetic behavior of the ORR (the kinetic voltage losses occurring in the cathode) [ 37 ]. They noted the converse of the problem just described. Limitations within the CCL, occurring in either the gaseous phase or as conduction losses within the ionomer, could lead the Tafel slope of the ORR to appear to increase. Earlier experiments misinterpreted the experimental results as if they indicated a change in ORR kinetics which was occurring as a (nearly) doubling of the Tafel slope of the ORR, which happened in experiments at low humidity, or where full catalyst utilization did not occur.
This interface model re-formulates the model of water transport. Electroosmotic drag and diffusion values were re-formulated according to revised water uptake curves. It also utilizes convective water transport boundary conditions which allow it to predict the hydration-dependent high-frequency resistance (HFR) as it changes with current level. Varying HFR is caused by changing MEA water contents. HFR measurements were not strictly constant with increasing current levels, indicating that membrane hydration level changes. The prior interface models incorporated Dirichlet water transport boundary conditions. They would produce a constant HFR, unchanging with current density levels.
Additional processes addressing other relevant physics were added/updated. Gas-phase diffusion and approximate thermal treatments were incorporated from recently reported research. It was also necessary to take account of ionomer thickness expansion with water uptake. Catalyst layer losses can be ascertained once the water contents, and hence ionic conductivities, are known. A reduction of ECSA, in each catalyst layer, at sub-saturated conditions, was incorporated, because it has been directly measured.
The non-equilibrium interface model thus matched experimentally derived data for high-frequency resistance (HFR), the various voltage components, and effective anode losses at reactant humidity levels of 60% RH and 100% RH. The less-important effective anode catalyst layer resistance was estimated correctly at low-humidity conditions but was slightly over-predicted for the high-humidity conditions.
Good model-experiment agreement was achieved with a kinetic model whose parameters were determined from fundamental-level physical experiments reported in various other works. That is, the cathode’s Tafel slope and exchange current density are not changed on a case-by-case basis; these were separately measurable. One consistent set of kinetic model parameters produced both the high- and low-humidity results.
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