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