Modeling and Simulation of a Modern PEM Fuel Cell System
Recent trends and advances in hydrogen/air Proton Exchange Membrane Fuel Cells (PEMFC) are incorporated into a dynamic control oriented model. This type of model is important for development of contro...
Recent trends and advances in hydrogen/air Proton Exchange Membrane Fuel Cells (PEMFC) are incorporated into a dynamic control oriented model. This type of model is important for development of contro...
Optimizing the Performance of a PEM Fuel Cell Using the Powell Algorithm
A three-dimensional steady-state electrochemical mathematic model is established where the mass, fluid and thermal transport processes are considered as well as the electrochemical reaction. The influ...
A three-dimensional steady-state electrochemical mathematic model is established where the mass, fluid and thermal transport processes are considered as well as the electrochemical reaction. The influ...
Order Reduction for a Control-Oriented Model of the Water Dynamics in Fuel Cells
Paper no. FUELCELL2006-97075 pp. 151-159 (9 pages)
doi:10.1115/FUELCELL2006-97075
ASME 2006 4th International Conference on Fuel Cell Science, Engineering and Technology
(FUELCELL2006)
June 19–21, 2006 , Irvine, California, USA Sponsor: Nanotechnology Institute
June 19–21, 2006 , Irvine, California, USA Sponsor: Nanotechnology Institute
ASME 2006 Fourth International Conference on Fuel Cell Science, Engineering and Technology, Parts A and B
ISBN: 0-7918-4247-9
You are not logged into the ASME Digital Library.
Log in
Predicting the water dynamics and estimating humidity and flooding conditions in a low-temperature fuel cell are critical for robust operation and long life. Previous work by McKay et al [1] shows that the fuel cell anode, cathode, and membrane water dynamics and gaseous species concentrations can be accurately modeled by discretizing the partial differential equations that describe mass transport into three segments. Avoiding sensitivities associated with over-parameterization, and allowing for the real-time computations necessary for embedded controllers, requires in-depth investigation of the model order. In this paper the model from [1] is formulated into a bond graph representation. The objective is to establish the necessary model order for the fuel cell model using the Model Order Reduction Algorithm (MORA) [2], where an energy-based metric termed the Activity is used to quantify the contribution of each element of the model. Activity is a scalar quantity that is determined from the generalized effort and flow through each element of the model. We show the degree of model order reduction and provide a guideline for appropriate discretization.
©2006 ASME and Toyota Technical Center, USA Inc.
Connotea
CiteULike
del.icio.us
BibSonomy
PUBLICATION DATA
ASME
There are no references.