CDP#48: Primary Factors Affecting Learning Demo Fleet Fuel Cell Degradation
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National Renewable Energy Laboratory 1 Innovation for Our Energy Future CDP#48: Primary Factors Affecting Learning Demo Fleet Fuel Cell Degradation DO E Fleet H igh C urrentTim e H otStarts Starts/hour Low Voltage Tim e H igh Voltage Tim e C old Starts ShortTrips 0 Speed Trips H ot Am bientTemp H * H * 1) O n-going fuel cell degradation study using Partial LeastSquares (PLS) regression m odel forcom bined Learning D em onstration Fleet. 2) DO E Fleetm odel has a low percentage ofexplained decay rate variance. C reated:Feb-21-08 9:32 AM H *:Factorgroup associated w ith high decay rate fuel cell stacks L**:Factorgroup associated w ith low decay rate fuel cell stacks D ue to differences am ong team s,the DO E Fleet Analysis results are spread outand concrete conclusions are difficult to draw. Individual team analyses (C D P#49) focused on patterns w ithin a fleet. NREL CDP48
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National Renewable Energy Laboratory 1 Innovation for Our Energy Future
CDP#48: Primary Factors Affecting Learning Demo Fleet Fuel Cell Degradation
DOE Fleet
High Current TimeHot StartsStarts/hour
Low Voltage TimeHigh Voltage Time
Cold StartsShort Trips
0 Speed TripsHot Ambient Temp
H*
H*
1) On-going fuel cell degradation study using Partial Least Squares (PLS) regression model for combined Learning Demonstration Fleet.
2) DOE Fleet model has a low percentage of explained decay rate variance.
Created: Feb-21-08 9:32 AM
H*: Factor group associated with high decay rate fuel cell stacksL**: Factor group associated with low decay rate fuel cell stacks
Due to differences among teams, the DOE Fleet Analysis results are spread
out and concrete conclusions are difficult to draw.
Individual team analyses (CDP#49) focused on patterns within a fleet.
NREL CDP48
