Ballard Power Systems Inc.
Use of neural network and EIS signal analysis to quantify H2 crossover in-situ in operating PEM cells
Last updated:
Abstract:
Methods for detecting a hydrogen leak and quantifying a rate of the same in a polymer electrolyte membrane fuel cell stack are provided, as well as a fuel cell diagnostic apparatus that diagnoses a hydrogen leak in a fuel cell stack.
Status:
Grant
Type:
Utility
Filling date:
18 Aug 2016
Issue date:
3 Mar 2020