Canada Spends Logo

Explorez notre analyse du budget 2026

Grant: Collaborative Research and Development Grants

Simon Fraser University

$104,000.00

Modeling-based portrait and intelligent diagnostics of polymer electrolyte fuel cells

EF 2017-18

Résumé
This application fosters a concerted strategy in modeling and diagnostics of polymer electrolyte fuel cells (PEFCs), which are touted as energy conversion devices for transportation and stationary power. Greenlight Innovation Corp. (GI) is a leading supplier of fuel cell testing equipment to automotive OEMs and research labs with over 700 stations in operation worldwide. To bolster this position, the diagnostics platform proposed herein is to provide quick, reliable, accurate and autonomous assessment of the state of health of the Device Under Test (DUT) and analyze, in real time, its response to changing operating conditions and load. Model-based tools will correlate changes in performance with variations in structure and properties of cell components, to decipher the mechanistic origins of performance effects. Furthermore, diagnostic tools will be devised to predict operational failures and rationalize their causes. The suite of capabilities will be essential to steer future directions in materials research and design of cells and stacks; it will enable developers to engineer failure mitigation and recovery strategies. As the basis for this platform, the SFU team will develop physical-mathematical models to draw a comprehensive performance portrait of PEFCs. Using this portrait, the group will develop testing algorithms and protocols, closely interacting with partners at GI. GI will integrate diagnostic methods and tools into Emerald, its control and automation software. The system-on-a-chip research lab at UBC will develop specific electronics hardware for tests on large fuel cell stacks.
Programme
Collaborative Research and Development Grants
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
513543-2017
Name nom
Eikerling, Michael
Department département
Chemistry
Organization id
5
Institution établissement
Simon Fraser University
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2017
Award amount
104000
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
305
Area of application group en
Energy resources
Area of application group fr
Ressources d'énergie
Area of application en
Energy storage and conversion
Area of application fr
Stockage et transformation de l'énergie
Research subject code
3401
Research subject group en
Physical chemistry
Research subject group fr
Chimie physique
Research subject en
Electrochemistry
Research subject fr
Électrochimie
Partie
1
Nb partie
4
Application title
Modeling-based portrait and intelligent diagnostics of polymer electrolyte fuel cells
Keyword
NSERC
Application summary
This application fosters a concerted strategy in modeling and diagnostics of polymer electrolyte fuel cells (PEFCs), which are touted as energy conversion devices for transportation and stationary power. Greenlight Innovation Corp. (GI) is a leading supplier of fuel cell testing equipment to automotive OEMs and research labs with over 700 stations in operation worldwide. To bolster this position, the diagnostics platform proposed herein is to provide quick, reliable, accurate and autonomous assessment of the state of health of the Device Under Test (DUT) and analyze, in real time, its response to changing operating conditions and load. Model-based tools will correlate changes in performance with variations in structure and properties of cell components, to decipher the mechanistic origins of performance effects. Furthermore, diagnostic tools will be devised to predict operational failures and rationalize their causes. The suite of capabilities will be essential to steer future directions in materials research and design of cells and stacks; it will enable developers to engineer failure mitigation and recovery strategies. As the basis for this platform, the SFU team will develop physical-mathematical models to draw a comprehensive performance portrait of PEFCs. Using this portrait, the group will develop testing algorithms and protocols, closely interacting with partners at GI. GI will integrate diagnostic methods and tools into Emerald, its control and automation software. The system-on-a-chip research lab at UBC will develop specific electronics hardware for tests on large fuel cell stacks.