Invention Grant
- Patent Title: Use of neural network and EIS signal analysis to quantify H2 crossover in-situ in operating PEM cells
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Application No.: US15240944Application Date: 2016-08-18
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Publication No.: US10581099B2Publication Date: 2020-03-03
- Inventor: Ghassan Hassan Mousa , Jacob William De Vaal , Farid Golnaraghi
- Applicant: BALLARD POWER SYSTEMS INC. , SIMON FRASER UNIVERSITY
- Applicant Address: CA Burnaby CA Burnaby
- Assignee: BALLARD POWER SYSTEMS INC.,SIMON FRASER UNIVERSITY
- Current Assignee: BALLARD POWER SYSTEMS INC.,SIMON FRASER UNIVERSITY
- Current Assignee Address: CA Burnaby CA Burnaby
- Agency: Seed Intellectual Property Law Group LLP
- Main IPC: H01M8/04664
- IPC: H01M8/04664 ; H01M8/0438 ; H01M8/0444 ; H01M8/04537 ; G01M3/40 ; H01M8/1018 ; G01N27/02 ; G06N3/08
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.
Public/Granted literature
- US20170040626A1 USE OF NEURAL NETWORK AND EIS SIGNAL ANALYSIS TO QUANTIFY H2 CROSSOVER IN-SITU IN OPERATING PEM CELLS Public/Granted day:2017-02-09
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