200W PEM Fuel Cell Stack with Online Model-Based Monitoring System

  • Pittaya Khanungkhid Chualongkorn University
  • Pornpote Piumsomboon Chulalongkorn University
Keywords: fuel cell, PEM, monitoring, model-based

Abstract

Although various designs have been introduced to improve the performance of a Proton Exchange Membrane Fuel Cell (PEMFC) stack system, fault conditions, such as drying or flooding, may still occur due to the complexity of the process. The development of a system which can detect these fault conditions is a key to operate PEMFC stack system effectively. In this study, a monitoring system for a 200W commercial PEMFC stack system has been developed by constructing models for determining the flooding and drying conditions inside the cell. Since the membrane resistance and pressure drop across the stack are important parameters for determining either drying or flooding conditions taking place inside the fuel cell, the online model-based monitoring system is developed by adopting existing algorithms. A number of instruments are installed to measure relevant data. The data acquisition system and mathematical models have been programmed under LabVIEWTM environment. To indicate the abnormally conditions inside the fuel cell stack, the model predictions is compared with the measured values and the size of the discrepancy will be the indicator.

Downloads

Download data is not yet available.

Author Biographies

Pittaya Khanungkhid

Fuels Research Center, Department of Chemical Technology, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand

Pornpote Piumsomboon

Fuels Research Center, Department of Chemical Technology, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand
Center of Excellence on Petrochemical and Materials Technology, Chulalongkorn University, Bangkok 10330, Thailand

Published In
Vol 18 No 4, Oct 16, 2014
How to Cite
[1]
P. Khanungkhid and P. Piumsomboon, “200W PEM Fuel Cell Stack with Online Model-Based Monitoring System”, Eng. J., vol. 18, no. 4, pp. 13-26, Oct. 2014.