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Yasemin Vural
Centre for Computational Fluid Dynamics (CFD) University of Leeds, UK
ICAT 08 ConferenceNovember 13-14, Istanbul, Turkey
PERFORMANCE PREDICTION OF A PROTON EXCHANGE MEMBRANE FUEL CELL USING THE ANFIS
MODEL
OUTLINE
• Introduction
• Modeling & Results
• Conclusion
Introduction
Modeling & Results
Conclusion
Fuel Cells
• Fuel cells are the electrochemical devices that converts chemical energy into electrical energy
fuel water oxidant heat electricity
• Clean, high efficiency, quite (no moving parts) energy production
• Applications: automotive, stationary power industry, portable applicatons (mobile phones, PCs) • Types: PEMFC, SOFC, DMFC, Alkaline Fuel cells etc.
• Recent Research: material type, manufacturing, understand the processes (through modelling)
-1-
Fuel Cell
Introduction
Modeling & Results
Conclusion
Proton Exchange Membrane Fuel Cell (PEMFC)
-2-(Source: http://www.fueleconomy.gov)
Introduction
Modeling & Results
Conclusion
-3-
Proton Exchange Membrane Fuel Cell (PEMFC)
Operating Temp : 60-80 C
Efficiency : 35-45 (%)
Applications : Automotive, small-scale stationary, portable
Challenges
• Cost
• Lifetime/ Degradation
• Start up (subzero temperature, freezing)
• Water Management
Applications in Automotive Industry
-4-
Toyota FCHC
Volkswagen Bora
Ford Explorer
2008 Honda FCX Clarity
Introduction
Modeling & Results
Conclusion
-5-
Typical Polarization curve of a PEFMC
(Source: Buasri P.and Salameh Z.H.)
Voltage loss due to activation polarization
Voltage loss due to ohmic polarization
Voltage loss due to concentration polarization
Introduction
Modeling & Results
Conclusion
-6-
Proton Exchange Membrane Fuel Cell (PEMFC)
• Performance (I-V curve) prediction of a cell is important for design improvements.
•Measurements in a fuel cell is usually difficult and expensive.
• Modelling is an important tool for performance prediction.
• Mathematical models: complicated, empirical parameters.
• Soft computing models: easier, rapid.
Introduction
Modeling & Results
Conclusion
-7-
Proton Exchange Membrane Fuel Cell (PEMFC)
Purpose of the study:
To predict the performance of a PEM fuel cell using a soft computing technique, namely the ANFIS model and validate the model for different operational conditions.
• Solution using MATLAB software, Fuzzy Logic Toolbox
Introduction
Modeling & Results
Conclusion
-8-
Artificial Neuro Fuzzy Inference System (ANFIS)
• Advantages: No prior knowledge of the system is necessary.
• combines the advantages of the Artificial Neural Network(ANN) and Fuzzy Logic (FL)
The ANFIS structure
Voltage (V)ANFIS
-9-
Current density0 -1.68 A/cm2
Cell temperature 50-90 C
Anode humidification temperature
25 -90 C
Cathode humidification temperature
40 - 90 C
Pressure1.0-3.74 atm
Experimental data of Wang et al J. of Hydrogen Energy, 2002.
-10-
Results
MAPE (%) =1.86
-11-
MAPE (%) =2.06
Results
-12-
Effect of the Operational Conditions on the Cell Performance
Effect of Cell Temperature: V
olta
ge (
V)
Cell Temp (C)Current density (A/cm2)
Anode and cathodehumidification temperature: 70 C
-13-
Effect of Anode Humidification Temperature: V
olta
ge (
V)
Anode humid. temp (C)
Current density (A/cm2)
Cell temp and cathodehumidification temperature: 70 C
Effect of the Operational Conditions on the Cell Performance
-14-
Effect of Cathode Humidification Temperature: V
olta
ge (
V)
Current density (A/cm2)
Cathode humid. temp (C)
Cell temp and anode humidification temperature: 70 C
Effect of the Operational Conditions on the Cell Performance
-15-
Effect of Pressure:
Vol
tage
(V
)
Pressure (atm) Current density (A/cm2)
Cell temp, anode and Cathode humidification temperature: 70 C
Effect of the Operational Conditions on the Cell Performance
Introduction
Modeling & Results
Conclusion
-16-
Conclusion
• Models are important tools for the prediction of a fuel cell performance.
• The ANFIS model trained and tested with the set of experimental data.
• The effects of the operational conditions on the cell performance were discussed.
• ANFIS can be used as a viable tool for the prediction of the cell performance.
Thank you !
