Fuzzy-Clustering Durability Diagnosis of Polymer Electrolyte Fuel Cells Dedicated to Transportation Applications

Polymer electrolyte fuel cells (PEFCs) offer a promising source of power generation for hybrid electric vehicles. This paper presents a new method for diagnosing the durability of PEFCs. The methodology combines behavioral modeling and electrochemical impedance spectrometry (EIS). The paper first presents results from durability tests on small power PEFC stacks. Results for fuzzy pattern recognition diagnoses are next discussed. Finally, the authors discuss durability and issues related to fuel cell aging.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00189545
• Authors:
  • Hissel, Daniel
  • Candusso, Denis
  • Harel, Fabien
• Publication Date: 2007-9

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 2414-2420
• Serial:
  • IEEE Transactions on Vehicular Technology
  • Volume: 56
  • Issue Number: 5
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 0018-9545
  • Serial URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=25

Subject/Index Terms

• TRT Terms: Diagnostic tests; Durability tests; Electric vehicles; Fuel cells; Fuzzy systems; Hybrid vehicles; Pattern recognition systems
• Subject Areas: Energy; Highways; Vehicles and Equipment;

Filing Info

• Accession Number: 01077084
• Record Type: Publication
• Source Agency: UC Berkeley Transportation Library
• Files: BTRIS, TRIS
• Created Date: Sep 28 2007 8:55AM