In:
ECS Transactions, The Electrochemical Society, Vol. 3, No. 1 ( 2006-10-20), p. 941-948
Abstract:
This new fuel cell stack diagnostics technology utilizes a signal distortion analysis to determine the actual status of a fuel cell / fuel cell stack in terms of critical operation conditions. Oxygen and hydrogen starvation, cell floodings are detectable with this method. In this paper the results of a flooding situation and an air starvation case are discussed. Also a semi empirical model is described which enables the prediction of the cell behavior in such critical operation modes.
Type of Medium:
Online Resource
ISSN:
1938-5862
,
1938-6737
Language:
Unknown
Publisher:
The Electrochemical Society
Publication Date:
2006