ECS Transactions, 3 (1) 1031-1040 (2006) 10.1149/1.2356222, copyright The Electrochemical Society

Deterministic Impedance Models for Interpretation of Low Frequency Inductive Loops in PEM Fuel Cells Sunil K. Roy∗and Mark E. Orazem† Department of Chemical Engineering, University of Florida, Gainesville, FL, 32611

A mechanistic approach is presented for interpreting the inductive loops often observed at low-frequencies in the impedance spectra of PEMFCs. Four possible electrochemical reaction mechanisms were considered. The side reactions and intermediates involved in both hydrogen peroxide formation and platinum dissolution could account for the low frequency inductive loops in the impedance spectra. The interpretation of the inductive features could be important for predicting the life-time of fuel cells since peroxide degrades the materials used for the fuel cell components and the platinum dissolution adversely affects electrochemical activity and lifetime of the catalyst used. Introduction Proton exchange membrane fuel cells (PEMFCs) are electrochemical devices that provide continual conversion of chemical energy into electrical energy. They are currently in development for a wide range of commercial applications and are especially important for stationary power sources. The overall reaction in this fuel cell is the oxidation of hydrogen to produce water. In the last few decades, much attention have been given to research and development of the fuel cell; however, the role of side reactions and reaction intermediates is comparatively unexplored. Side reactions and the associated intermediates can degrade fuel cell components such as membranes and electrodes, thereby reducing the lifetime, one of the crucial issues in the commercialization of fuel cells.1, 2 Impedance spectroscopy is often used to characterize processes in fuel cells including PEMFCs.3–7 Low-frequency inductive features are commonly seen in impedance measurements (see, for example, Figure 3 reported by Makharia et al.8 for a PEMFC). Makharia et al.8 suggested that side reactions and intermediates involved in the fuel cells operation can be possible causes of the inductive loop at low frequency. However, such low-frequency inductive loops could also be attributed to non-stationary behavior, or, due to the time required to make measurements at low frequencies, non-stationary behavior could influence the shapes of the low-frequency features. In previous work,9 Roy and Orazem used the measurement model approach10–13 to demonstrate that, for cells under steady-state operation, the low-frequency inductive loops were consistent with the Kramers Kronig relations.9 Some typical results ∗

Student member of the Electrochemical Society Fellow of the Electrochemical Society and author to whom correspondence should be addressed. Tel.:+1-352-392-6207; Fax.: +1-352-392-9513; E-mail address: [email protected] (M. E. Orazem) †

1

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0.08

Zj / Ω cm

2

0.06 0.04 0.02 0.1377 0.00 -0.02 0.00

3 kHz 0.03

0.001 Hz 0.06

0.09

0.12

Zr / Ω cm

0.15

0.18

0.21

2

(a) 0.08

Zj / Ω cm

2

0.06 0.04 0.02 0.00 -0.02 0.00

0.1377 3 kHz 0.03

0.001 Hz 0.06

0.09

0.12

Zr / Ω cm

0.15

0.18

0.21

2

(b)

Figure 1: Comparison of impedance data obtained for a PEM Fuel cell that were determined by measurement model techniques to be consistent with the Kramers Kronig relations. Symbols represent experimental data and solid lines represent the measurement model fit. The arrow points to the nominal zero-frequency impedance obtained from the slope of the polarization curve. a) Data collected at 0.2 A/cm2 using the Scribner 850C; and b) Data collected at 0.2 A/cm2 using Gamry FC350 impedance instrument coupled with a Dynaload RBL:100V-60A-400W electronic load. are presented in Figure 1 for the impedance response of a single 5 cm2 PEM fuel cell with hydrogen and air as reactants. The experimental conditions are reported elsewhere.9 The results presented as Figure 1(a) were obtained using a Scribner 850C fuel cell test station, and the results presented as Figure 1(b) were obtained using a Gamry FC350 impedance instrument coupled with a Dynaload RBL:100V-60A-400W electronic load. The arrow points to the nominal zero-frequency impedance obtained from the slope of the polarization curve, and the solid lines correspond to a fit of the measurement model. This work demonstrated that, independent of the instrumentation used, the low-frequency features were consistent with the Kramers Kronig relations. Therefore, the low-frequency inductive loops could be attributed to process characteristics and not to non-stationary artifacts. Mathematical models are needed to interpret the impedance data, including the low-frequency inductive loops, in terms of physical processes. The most quantitative of the impedance models reported in the literature have emphasized detailed treat-

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ment of the transport processes, but the simple electrochemical mechanisms considered precluded prediction of inductive loops. As the oxygen reduction reaction (ORR) at the cathode is the rate-determining step, most models emphasize the performance of the cathode. The one-dimensional models proposed by Springer et al.4, 14 considered the cathode to be a thin film on agglomerated catalyst particles. They have studied the role of water accumulation in the gas diffusion layer and oxygen diffusion in the gas phase. These models considered only a single-step irreversible ORR at the cathode. The impedance models by other researchers15–17 also treat single-step ORR. Several models for the impedance response of PEM cells have considered a more detailed reaction mechanism. The model developed by Eikerling and Kornyshev18 considered the single-step ORR to be reversible. Antoine et al.19 proposed an impedance model with three steps for ORR kinetics in acidic medium on platinum nanoparticles. Antoine et al.19 proposed the presence of unspecified reaction intermediates and did not consider the kinetics at the anode. This was the first research group who reported models that account for low-frequency inductive loops. They explained the low-frequency inductive loops were a result of the second relaxation of the adsorbed species involved in the different steps of the ORR. More recently, Wiezell et al.20 considered a two-step hydrogen oxidation reaction (HOR) and have reported low-frequency inductive loops. They have explained the inductive loops to be the result of changing different factors such as water concentration, membrane thickness, hydrogen pressure and the HOR kinetics. The role of intermediates in the ORR is supported by independent observation of hydrogen peroxide formation in PEM fuel cells.21–23 Hydrogen peroxide causes chemical degradation of the membrane.23 Other reactions have also been reported which could potentially account for the low-frequency features observed in the impedance data. Platinum dissolution, for example, has been observed in the PEMFCs environment,24 which can lead to the loss of catalytic activity and, consequently, to degradation of fuel cell performance.25 The objective of this work was to identify chemical and electrochemical reactions that could account for the low-frequency inductive response and could therefore be incorporated into a mechanistic model of the impedance response of PEM fuel cells. Impedance Model Development The mathematical model used to assess the influence of proposed reactions on the impedance response is summarized briefly in this section. The mass transfer problem was simplified significantly by assuming that the membrane properties were uniform, that issues associated with flooding and gas-phase transport could be neglected, and that the heterogenous reactions took place at a plane, e.g., , the interface between the catalyst active layer and the the proton exchange membrane. This preliminary approach does not account for the spatial distribution of the catalyst particles in the catalyst layer, but this simplified treatment is sufficient to explore the role of specific reaction on impedance features, such as low-frequency inductive loops. The current density can be expressed as a function of applied potential V , concentrations of reactants at the reaction front ci (0), and surface concentrations γk as i = f (V, ci,0 , γk ) (1) 1033

ECS Transactions, 3 (1) 1031-1040 (2006)

The faradaic current density can be expressed in terms of a steady state contribution ¯ı and an oscillating contribution ˜ı as if = ıf + Re {eıf exp (jωt)}

(2)



where j = −1, t is time, and ω is the frequency in units of s−1 . A Taylor series expansion of equation 1 about the steady-state value yields ∂f ∂f ∂f e ˜ıf = V + e ci (0) + γ ek (3) ∂V ci (0),γk ∂ci,0 V,cj6=i (0),γk ∂γk V,ci (0),γj6=k where Ve ,cg i (0) and γek were assumed to have small magnitudes such that higher-order terms can be neglected. The expression of total current was found by summing the interfacial charging current and the faradaic current, i.e., dV (4) dt where, C0 is the interfacial capacitance. For a small-amplitude sinusoidal perturbation the total current was written as i = if + C0

ei = ief + jωC0 Ve

(5)

The impedance was calculated for each system using Z=

e U Ve = Re + eı eı

(6)

where Re is the frequency independent ohmic resistance, U is the cell potential, and V is the potential measured. The faradaic current was calculated by summing contributions from all the reactions in accordance with the reaction stoichiometry. As equation (3) contains independent variables in addition to Ve and eı, additional equations were needed to relate surface coverage and concentration variables to current and potential. As needed for given reaction mechanisms, surface coverage was expressed in terms of current through material balances, and the concentration of reactants was expressed in terms of current through diffusion equations. Diffusion was assumed to occur through a film of finite thickness. Proposed Reaction Mechanisms Four impedance models were investigated for interpretation of low-frequency inductive loops. In the first model, a single-step ORR at cathode and single step HOR at anode was proposed. In the second model, hydrogen peroxide formation in two steps ORR kinetics at cathode along with single step HOR at anode was proposed while in the third model ORR coupled with the platinum dissolution at cathode catalyst along with single step HOR at anode was proposed. Finally, in the fourth model formation of the hydrogen peroxide along with single step hydrogen oxidation at anode and ORR coupled with the platinum dissolution at cathode was proposed.

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Model 1: No Side Reactions A single-step ORR O2 + 4H+ + 4e− → 2H2 O

(7)

was assumed to take place at the cathode. The steady-state current density expression corresponding to this reaction was assumed to be 3/2

iO2 = −4F kO2 cO2 (0)cH+ (0) exp (−bO2 V )

(8)

where F is Faraday’s constant, R is the universal gas constant, and T is absolute temperature. The term bk = αk F /RT where αk is the apparent transfer coefficient for reaction k. The single step HOR H2 → 2H+ + 2e−

(9)

was assumed to take place at the anode. The corresponding steady-state current expression was iH2 = 2F kH2 cH2 (0) exp (bH2 V ) (10) The total faradiac current could be obtained as if = iH2 + iO2

(11)

Thus, the magnitude of the current at the anode is equal to the magnitude of the current at the cathode. Model 2: Hydrogen Peroxide Formation In this case, the ORR was assumed to take place in two steps. The first reaction O2 + 2H+ + 2e− → H2 O2

(12)

involves formation of hydrogen peroxide H2 O2 which reacts further to form water, i.e., H2 O2 + 2H+ + 2e− → H2 O (13) The steady -state current for reaction (12) was expressed as 3/2

iO2 = −2F (1 − γH2 O2 ) kO2 cO2 (0)cH+ (0) exp (−bO2 V )

(14)

where γH2 O2 is the surface coverage was defined to be the fraction of cathode surface occupied by the hydrogen peroxide. The current density corresponding to reaction (13) was given as 3/2

iH2 O2 = −2F γH2 O2 kH2 O2 cH2 O2 (0)cH+ (0) exp (−bH2 O2 V )

(15)

The electrochemical reaction at the anode was given as reaction (9) and the corresponding current expression was given as equation (10).

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Model 3: Platinum Dissolution Platinum dissolution was proposed to take place in two steps according to an electrochemical reaction Pt + H2 O ↔ PtO + 2H+ + 2e− (16) in which PtO is formed, followed by a chemical dissolution PtO + 2H+ ↔ Pt+2 + 2H2 O

(17)

The current density corresponding to reaction (16) was given by iPt = 2F (1 − γPtO )kPt,f exp (bPt,f V ) − 2F kPt,b γPtO exp (−bPt,b V )

(18)

where γPtO is the fractional surface coverage by the PtO. The dissolution of PtO was assumed to occur according to rPtO = kPtO γPtO c2H+ (0)

(19)

and the corresponding material balance for PtO was expressed as Γ

∂γPtO iPt =− − rPtO ∂t 2F

(20)

where Γ is the maximum surface coverage. The formation of platinum oxide was assumed to have an indirect influence on the oxygen reduction reaction by changing the effective rate constant for the reaction. Thus, keff = kPt + (kPtO − kPt )γPtO = f (γPtO ) (21) where kPt is the rate constant on a platinum surface and kPtO is the rate constant on a platinum oxide surface. It was assumed that kPtO << kPt . The ORR was assumed to take place according to reaction (7) with a steady-state current density given by 3/2

iO2 = −4F keff cO2 (0)cH+ (0) exp (−bO2 V )

(22)

Model 4: Hydrogen Peroxide Formation with Platinum Dissolution In this case, the ORR coupled with the platinum dissolution was assumed according to Model 3. At the anode, hydrogen peroxide formation was proposed according to reactions (12) and (13), similar to that used in Model 2 at the cathode. The steady-state current expressions were also assumed to be the same as described in equations (14) and (15), with the exception that the surface coverage was defined to be the fraction of the anode surface covered the peroxide. The source of oxygen at anode could be gas crossover through the membrane. In addition, a single-step HOR was proposed to take place on the anode according to reaction (9).

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Zj / Ω cm

2

0.15 0.79 Hz

0.10 0.05 0.00

79 Hz ( 7.9 mHz, 0.079 mHz, 0.001 mHz )

10 kHz

0.00

0.08

0.16

0.24

Zr / Ω cm

0.32

2

Figure 2: The impedance response for Model 1 consisting of a single-step ORR at the cathode and a single-step HOR at the anode. 0.15

Zj / Ω cm

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0.10 0.79 Hz

79 Hz

0.05

0.001 mHz

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7.9 mHz

10 kHz

0.079 mHz

-0.05 0.00

0.08

0.16

0.24

Zr / Ω cm

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0.40

2

Figure 3: Impedance response for Model 2 consisting of a two-step ORR at the cathode (resulting in formation of hydrogen peroxide) and a single-step HOR at the anode. Results and Discussion Impedance spectra were calculated using the reaction models described in the previous section. The simulations were performed to explore the potential for low-frequency inductive behavior, but no formal regression analysis was performed. The impedance response for all simulations corresponded to a frequency range of 1 kHz to 0.0001 mHz. The low frequency limit was used to explore more fully the low-frequency inductive features. Model 1: No Side Reactions The impedance response for the model with no side reactions is presented in Figure 2. The response consisted of one compressed capacitive loop. The single step ORR at the cathode dominated the entire impedance response. At higher frequency, the straight line portion due to transport of oxygen is evident. Model 2: Hydrogen Peroxide Formation The impedance response for the model with hydrogen peroxide formation is presented in Figure 3. The response consisted of one capacitive loop and one inductive loop. The overall impedance response was dominated by the two-step ORR at the cathode. The inductive loop at low frequency was due to side reactions and intermediates involved in the peroxide formation at the cathode. 1037

ECS Transactions, 3 (1) 1031-1040 (2006)

0.15 0.79 Hz

Zj / Ω cm

2

0.10 0.05

0.001 mHz

79 Hz

0.00

10 kHz 0.00

7.9 mHz 0.08

0.16

0.24

Zr / Ω cm

0.32

0.40

2

Figure 4: Impedance response for Model 3 consisting of a single-step ORR at the cathode, influenced by Pt dissolution and catalyst deactivation, and a single-step HOR at the anode.

Zj / Ω cm

2

0.15 0.10 0.05 0.00

0.79 Hz 7.9 mHz 79 Hz 0.001 mHz 10 kHz 0.079 mHz

-0.05 0.00

0.08

0.16

0.24

Zr / Ω cm

0.32

0.40

0.48

2

Figure 5: Impedance response for Model 4 consisting of a single-step ORR at the cathode, influenced by Pt dissolution and catalyst deactivation, a single-step HOR at the anode, and hydrogen peroxide formation at the anode associated with oxygen cross-over. Model 3: Platinum Dissolution The impedance response for the model including platinum dissolution is shown in Figure 4. The response consisted of one capacitive loop and one inductive loop. The ORR coupled with platinum dissolution mechanism dominated the overall impedance response. The capacitive loop was due to the cathode kinetics, and the straight line portion in the capacitive loop seen at high frequency was due to mass transport of oxygen. The inductive loop at low frequency was due to side reactions and intermediates involved in the platinum dissolution mechanism. Although the size of the inductive loop was smaller than the size found in Model 2, platinum dissolution can clearly lead to low-frequency inductive behavior. Model 4: Hydrogen Peroxide Formation with Platinum Dissolution The impedance response for the model including both peroxide formation and platinum dissolution is shown in Figure 5. The impedance response was consisted of two capacitive loops and one inductive loop. The small capacitive loop at high frequency was possibly due to reactions at the anode, and the bigger capacitive loop at intermediate frequencies was due to reactions at the cathode. The straight line portion in the bigger capacitive loop was due to oxygen transport resistance. The inductive loop at low frequency was due to side reactions and intermediates involved in the peroxide formation and platinum dissolution. 1038

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Conclusions Four kinetic models were investigated to explore the impedance response of PEM fuel cells. The model which included no side reactions could not predict the occurrence of the experimentally observed low-frequency inductive loops. Models which accounted for peroxide formation at the cathode, platinum deactivation at the cathode, and platinum deactivation at the cathode coupled with peroxide formation at the anode yielded low-frequency inductive loops, indicating that each of these reaction mechanisms could account for the experimentally observed low-frequency inductive loops. The models presented here are preliminary, but these provide a foundation for development of interpretation model for PEM fuel cells. Acknowledgements This work was supported by NASA Glenn Research Center under grant NAG 3-2930 monitored by Timothy Smith.

References 1. A. B. Laconti, M. Mamdan, and R. C. MacDonald, Handbook of Fuel Cells, volume 3, 2nd edition (New York: John Wiley and Sons, 2003). 2. X. Cheng, L. Chen, C. Peng, Z. Chen, Y. Zhang, and Q. Fan, Journal of the Electrochemical Society, 151 (2004) A48–A52. 3. E. Barsoukov and J. R. Macdonald, Impedance Spectroscopy : Theory, Experiment, and Applications, 2nd edition (Wiley Interscience, 2005). 4. T. E. Springer, T. A. Zawodzinski, M. S. Wilson, and S. Gottesfeld, Journal of the Electrochemical Society, 143 (1996) 587–599. 5. N. Wagner, W. Schnurnberger, B. Mller, and M. Lang, Electochimica Acta, 43 (1998) 3785–3793. 6. M. Ciureanu and H. Wang, Journal of the Electrochemical Society, 146 (1999) 4031–4040. 7. M. Ciureanu, S. D. Mikhailenko, and S. Kaliaguine, Catalyst Today, 82 (2003) 195–206. 8. R. Makharia, M. F. Mathias, and D. R. Baker, Journal of the Electrochemical Society, 152 (2005) A970–A977. 9. S. K. Roy and M. E. Orazem, Journal of the Electrochemical Society, (2006) manuscript in prepaparation. 10. P. Agarwal, M. E. Orazem, and L. H. Garc´ıa-Rubio, Journal of the Electrochemical Society, 139 (1992) 1917–1927. 1039

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11. P. Agarwal, O. D. Crisalle, M. E. Orazem, and L. H. Garc´ıa-Rubio, Journal of the Electrochemical Society, 142 (1995) 4149–4158. 12. P. Agarwal, M. E. Orazem, and L. H. Garc´ıa-Rubio, Journal of the Electrochemical Society, 142 (1995) 4159–4156. 13. M. E. Orazem, Journal of Electroanalytic Chemistry, 572 (2004) 317–327. 14. T. E. Springer and I. D. Raistrick, Journal of the Electrochemical Society, 136 (1989) 1594–1603. 15. F. Jaouen and G. Lindberg, Journal of the Electrochemical Society, 150 (2003) A1699–A1710. 16. Q. Guo, M. Gayetano, Y. Tsou, E. S. D. Castro, and R. E. White, Journal of the Electrochemical Society, 151 (2003) A1440–A1449. 17. H. F. Oetjen, V. M. Schmidt, U. Stimming, and F. Trila, Journal of the Electrochemical Society, 143 (1996) 3838–3842. 18. M. Eikerling and A. A. Kornyshev, Journal of Electroanalytic Chemistry, 475 (1999) 107–123. 19. O. Antoine, Y. Bultel, and R.Durand, Journal of Electroanalytic Chemistry, 499 (2001) 85–94. 20. K. Wiezell, P. Gode, and G. Lindbergh, Journal of the Electrochemical Society, 153 (2006) A749–A758. 21. C. F. Zinola, J. Rodriguez, , and G. Obal, J. Appl. Electrochem., 31 (2001) 1293–1300. 22. A. Damjanovic and V. Brusic, Electochimica Acta, 12 (1967) 615–628. 23. V. O. Mittal, H. R. Kunz, and J. M. Fenton, Electrochemical and Solid-State Letters, 9(6) (2006) A299–A302. 24. R. M. Darling and J. P. Meyers, Journal of the Electrochemical Society, 150 (2003) A1523–A1527. 25. T. Patterson, in Fuel Cell Technology Topical Conference Proceedings, AIChE Spring National Meeting (2002) .

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Deterministic Impedance Models for Interpretation of ...

As needed for given reaction mechanisms, surface coverage was expressed ... O2 + 4H+ + 4e− → 2H2O. (7) ... where Γ is the maximum surface coverage.

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