Use of neural network and EIS signal analysis to quantify H2 crossover in-situ in operating PEM cells
US10581099B2 · kind B2 · utility
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12Claims
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Key dates
| Filing date | Aug 18, 2016 |
| Grant date | Mar 3, 2020 |
| Priority date | — |
| Expiry date | Apr 2, 2037 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02E60/50
- WIPO fieldMeasurement
- WIPO sectorInstruments
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.