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Current distribution in PEMFC: I-Validation step by ex-situ and - PowerPoint PPT Presentation

Current distribution in PEMFC: I-Validation step by ex-situ and in-situ electrical characterization PhD student: Samir RACHIDI PhD Director : Sergue Martemianov CEA tutors: Ludovic Rouillon, Jol Pauchet PhD program: October 2008 to


  1. Current distribution in PEMFC: I-Validation step by ex-situ and in-situ electrical characterization PhD student: Samir RACHIDI PhD Director : Sergueï Martemianov CEA tutors: Ludovic Rouillon, Joël Pauchet PhD program: October 2008 to Septembre 2011 Diagnostics Tools for Fuel Cells Technologies S. RACHIDI et al. 25/09/2009 1/15 June 23, 24 th 2009, Trondheim, Norway

  2. Plan • Introduction • Why Current Density? • Current Density measurements, State Of Art • Reverse method approach • Methodology • Wires’ instrumentation • Electrical Model • Preliminary results and validation • Preliminary results • Model sensitivity • Potential measurements’ validation • Conclusions & perspectives Diagnostics Tools for Fuel Cells Technologies S. RACHIDI et al. 25/09/2009 2/15 June 23, 24 th 2009, Trondheim, Norway

  3. Why the current density? • Key output of a PEMFC: • Globally: « Visualize » the cell performance JG Pharoah et al., 2006, JPS, 161 • Locally: understand the non uniformity of the electrochemical reaction (rib/channel effect, flooding/drought aspect,…) Contribute in understanding local transfer phenomena • Feed/validate multi-physics models in our lab • Rib/channel scale: polarization curves not enough • All transfer phenomena into account Improve modeling predictability Diagnostics Tools for Fuel Cells Technologies S. RACHIDI et al. 25/09/2009 3/15 June 23, 24 th 2009, Trondheim, Norway

  4. Current density measurements, State of Art Partial Catalytic Deposit Segmented Electrodes R. Eckl, et al., JPS 154 (2006) J.Stumper et al, Electrochimica Acta,1998. et al , JPS 180 (2008) L.Wang Magnetic field Method Wire approach et al , (2006) et al ,. J. Appl. Phys. 25, 67–74 (2004). Stefan A. Freunberger D. Candusso Spatial resolution of measurements evolved from centimeters to a sub-millimeter scale Diagnostics Tools for Fuel Cells Technologies S. RACHIDI et al. 25/09/2009 4/15 June 23, 24 th 2009, Trondheim, Norway

  5. Plan • Introduction • Why Current Density? • Current Density measurements, State Of Art • Reverse method approach • Methodology instrumentation • Wires’ • Electrical Model • Preliminary results and validation • Preliminary results • Model sensitivity • Potential measurements’ validation • Conclusions & perspectives Diagnostics Tools for Fuel Cells Technologies S. RACHIDI et al. 25/09/2009 5/15 June 23, 24 th 2009, Trondheim, Norway

  6. Methodology 1/ Potential measurement between each wire and monopolar plate Rib (Monopolar Plate) Canal Channel V GDL GDL GDL GDL Microporous Layer Catalyst Layer Wires=Potential probes 2/ Implementation of the potential profile as a boundary condition in an electrical model 3/ Determination of local current density thanks to the model via Laplace Equation:      .( . ) 0 V Modeling Reverse Method : Potential Current density Diagnostics Tools for Fuel Cells Technologies S. RACHIDI et al. 25/09/2009 6/15 June 23, 24 th 2009, Trondheim, Norway

  7. Wires’ Instrumentation • Potential Probes: • Tungsten (W) wires insulated by a polyimide layer • Diameter: 25 µm of tungsten + 5µm of polyimide • Insulating layer removed from the measurement zone • Minimal achievable distance between two wires : 115µm GDL MPL Tungsten wire CL 2mm Improvement of the spatial resolution of potential measurements (500µm until now) Diagnostics Tools for Fuel Cells Technologies S. RACHIDI et al. 25/09/2009 7/15 June 23, 24 th 2009, Trondheim, Norway

  8. Electrical Model Half Channel Half Channel Rib • Software: Comsol Multiphysics GDL MPL • Boundary conditions : • Rib : Contact Resistance • MPL outer boundary: Measured potential profile • Model Inputs : Rib Channel • Electrical conductivity tensor ( measured in-house under stress by 4-points sensors )    0     //    0    • Electrical contact resistance (in-house values) • Computing of the electrical potential field “V”   .  V • Current density calculation in a post processing step: local Ohm’s law “J= ” Diagnostics Tools for Fuel Cells Technologies S. RACHIDI et al. 25/09/2009 8/15 June 23, 24 th 2009, Trondheim, Norway

  9. Plan • Introduction • Why Current Density? • Current Density measurements, State Of Art • Reverse method approach • Methodology • Wires’ instrumentation • Electrical Model • Preliminary results and validation • Preliminary results • Model sensitivity • Potential measurements’ validation • Conclusions & perspectives Diagnostics Tools for Fuel Cells Technologies S. RACHIDI et al. 25/09/2009 9/15 June 23, 24 th 2009, Trondheim, Norway

  10. Preliminary results Potential profile 0.035 0.7 A/cm² 0.03 Measured potential (V) Current density distribution J 0.025 A/m² 0.02 0.015 0.01 0.005 0 A/cm² 0 rib channel 1 2 3 4 5 6 7 8 Wires •Electrical potential higher under the channel in both studies •The same order of magnitude of potential difference between the wires encountered in the PSI study (some mV) •Two operating phases: •At low loads : current density higher under the rib •At high Loads: current density higher under the channel •Interesting technique: understand local transfer phenomena et al . ECS, (2006) Stefan A. Freunberger Diagnostics Tools for Fuel Cells Technologies S. RACHIDI et al. 25/09/2009 10/15 June 23, 24 th 2009, Trondheim, Norway

  11. Model Sensitivity • Our approach is based on experimental measurements that feed an electrical model Need to evaluate the model sensitivity towards measurements’ uncertainties • Four measured parameters: • Electrical potential measured locally : V meas ; [0; 34 mV] • Through plane electrical conductivity : σ ┴ ; [70; 200 S/m] • In plane electrical conductivity σ // ; [8400; 10600 S/m] • Contact Resistance between the BPP and the GDL: arround Rc = 2.10 -7 ohm.m² • We vary each measured parameter separately and we observe the relative change in current density profile ( ∆ J/J ) Increasing V meas Parameter ∆ J/J < 10% ∆ J/J < 5% V meas (µV) +/-100 +/-10 J (S/m) +/-10 +/-1 σ ┴ Half (S/m) Half +/-1000 +/-100 σ // Rib Channel Channel +/-0.1*10 -7 +/-0.01*10 -7 Rc (ohm.m²) Electrical model strongly depends on the electrical contact resistance In plane conductivity σ // isn’t a sensitive parameter Diagnostics Tools for Fuel Cells Technologies S. RACHIDI et al. 25/09/2009 11/15 June 23, 24 th 2009, Trondheim, Norway

  12. Potential measurements’ validation (1/2) • Why?: Small potential difference between the wires + Model sensitivity towards the measured potential Need to validate the in-situ potential measurements Idea: Verify electrical conductivity of some known materials via potential measurements • • HOW?: confront the experimental and the theoretical potential profiles • Case1: electrical conducting liquids • Isotropy • Homogeneity • Environment continuity at the scale of tungsten wires (25µm) Bi Polar Plates • The choice of the liquid DC liquid • High electrical conductivity • Wettability Channel Rib • Liquids used: Aqueous solutions e.g. (K + ;Cl - ); Ionic liquids Experiments and results’ exploitation in progress Diagnostics Tools for Fuel Cells Technologies S. RACHIDI et al. 25/09/2009 12/15 June 23, 24 th 2009, Trondheim, Norway

  13. Potential measurements’ validation (2/2) Case 2 : Through plane conductivity of a GDL, σ ┴ • • Confronting theoretical and experimental potential profiles Bipolar Plates Laminated shim V Bipo_O V bip V Bipo_Ba GDL • Potential Profiles’ fitting GDL Increasing σ ┴ Potential (V) Potential (V) Wires 30 mm 1 mm Satisfying conductivity values with a good approximation The wire system can be used as a 4-points sensor ( see J. Kleemann, F. Finsterwalder, W. Tillmetz Journal of Power Sources 190 ( 2009 ) 92–102) Diagnostics Tools for Fuel Cells Technologies S. RACHIDI et al. 25/09/2009 13/15 June 23, 24 th 2009, Trondheim, Norway

  14. Conclusions • A very interesting approach to understand local transfer phenomena in the PEMFC’s core • Efficient tool in the future for on-line diagnosis of an operating stack • A reverse method has been set up to determine current density distribution • The sensitivity of the electrical model towards measured parameters used was studied • Improvement of the spatial resolution of the in-situ potential measurements 115µm instead of 500µm • A validation procedure was initiated in order to verify the potential measurements’ quality Diagnostics Tools for Fuel Cells Technologies S. RACHIDI et al. 25/09/2009 14/15 June 23, 24 th 2009, Trondheim, Norway

  15. Perspectives • The reverse method will be used to determine a local current density distribution in a PEMFC • Finalize the validation step • Implementing wires in an operating cell • Results and model exploitation • Coupling local thermal measurements • Tests on an instrumented stack Diagnostics Tools for Fuel Cells Technologies S. RACHIDI et al. 25/09/2009 15/15 June 23, 24 th 2009, Trondheim, Norway

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