0

Full Content is available to subscribers

Subscribe/Learn More  >

Condition Monitoring of PEM Fuel Cell Using Hotelling T2 Control Limit

[+] Author Affiliations
X. Xue, J. Tang

University of Connecticut

Paper No. IMECE2005-81160, pp. 113-125; 13 pages
doi:10.1115/IMECE2005-81160
From:
  • ASME 2005 International Mechanical Engineering Congress and Exposition
  • Advanced Energy Systems
  • Orlando, Florida, USA, November 5 – 11, 2005
  • Conference Sponsors: Advanced Energy Systems Division
  • ISBN: 0-7918-4211-8 | eISBN: 0-7918-3769-6
  • Copyright © 2005 by ASME

abstract

Although a variety of design and control strategies have been proposed to improve the performance of polymer electrolyte membrane (PEM) fuel cell systems, temporary faults in such systems still might occur under practical operating conditions due to the complexity of the physical process and the functional limitations of some components. If these faults cannot be detected in a timely manner, long-time malfunction of fuel cell components may lead to catastrophic failures. Clearly, it is necessary to study the appropriate state condition monitoring scheme for fuel cell systems. In this research, we first develop a fuel cell stack model which can simulate the complicated transient behavior and dynamic interactions of the temperature, gas flow, phase change in the anode and cathode channels, and membrane humidification under operating conditions. Using this model as basis, we then employ the Hotelling T2 control limit approach to monitor stack conditions by using real-time measurements of fuel cell state variables such as output voltage. An important feature of the Hotelling method, a multivariate statistical analysis approach, is that one may decide fault occurrence under measurement noise. Simulation indicates that the new method has very high detection sensitivity and can detect the fault conditions at the early stage. This proposed monitoring strategy could provide valuable information for low-level real time control as well as high-level decision making.

Copyright © 2005 by ASME

Figures

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In