Analytical modeling framework for performance degradation of PEM fuel cells during startup–shutdown cycles. Issue 4 (13th January 2020)
- Record Type:
- Journal Article
- Title:
- Analytical modeling framework for performance degradation of PEM fuel cells during startup–shutdown cycles. Issue 4 (13th January 2020)
- Main Title:
- Analytical modeling framework for performance degradation of PEM fuel cells during startup–shutdown cycles
- Authors:
- Li, Yunqi
Chen, Xiran
Liu, Yuwei
Xiong, Danping
Li, Jing
Yin, Sha
Chen, Liang
Li, Congxin
Xu, Jun - Abstract:
- Abstract : An analytical modeling framework coupling carbon corrosion and an agglomerate model is established to predict the performance degradation of the cathode catalyst layer (cCL) during startup–shutdown cycles. Abstract : Startup–shutdown cycling is one of the main factors that contribute to fuel cell deterioration related to high cathode potential. In this study, a coupled model with the carbon corrosion model and agglomerate model of the cathode catalyst layer is built to predict performance degradation during startup–shutdown cycles. The carbon corrosion model calculates the carbon loading loss through the rate equations and material balance expressions of seven reactions, while the agglomerate model describes the catalyst layer performance according to the computed structural parameters. A set of operational and structural parametric studies are used to investigate their effects on initial performance and voltage degradation rate. The maximum voltage of the cyclic load is found to have a greater influence over the voltage degradation rate compared with relative humidity, pressure, and minimum voltage of the cyclic load. Among the structural parameters, the carbon loading and platinum loading have the greatest and least impact on voltage degradation rate, respectively, while ionomer fraction has a complex and nonmonotonic effect. An optimal design strategy is provided with a case demonstration. Results may provide a fundamental and important tool for degradationAbstract : An analytical modeling framework coupling carbon corrosion and an agglomerate model is established to predict the performance degradation of the cathode catalyst layer (cCL) during startup–shutdown cycles. Abstract : Startup–shutdown cycling is one of the main factors that contribute to fuel cell deterioration related to high cathode potential. In this study, a coupled model with the carbon corrosion model and agglomerate model of the cathode catalyst layer is built to predict performance degradation during startup–shutdown cycles. The carbon corrosion model calculates the carbon loading loss through the rate equations and material balance expressions of seven reactions, while the agglomerate model describes the catalyst layer performance according to the computed structural parameters. A set of operational and structural parametric studies are used to investigate their effects on initial performance and voltage degradation rate. The maximum voltage of the cyclic load is found to have a greater influence over the voltage degradation rate compared with relative humidity, pressure, and minimum voltage of the cyclic load. Among the structural parameters, the carbon loading and platinum loading have the greatest and least impact on voltage degradation rate, respectively, while ionomer fraction has a complex and nonmonotonic effect. An optimal design strategy is provided with a case demonstration. Results may provide a fundamental and important tool for degradation prediction in startup–shutdown conditions and guidance for catalyst layer design and operation. … (more)
- Is Part Of:
- RSC advances. Volume 10:Issue 4(2020)
- Journal:
- RSC advances
- Issue:
- Volume 10:Issue 4(2020)
- Issue Display:
- Volume 10, Issue 4 (2020)
- Year:
- 2020
- Volume:
- 10
- Issue:
- 4
- Issue Sort Value:
- 2020-0010-0004-0000
- Page Start:
- 2216
- Page End:
- 2226
- Publication Date:
- 2020-01-13
- Subjects:
- Chemistry -- Periodicals
540.5 - Journal URLs:
- http://pubs.rsc.org/en/Journals/JournalIssues/RA ↗
http://www.rsc.org/ ↗ - DOI:
- 10.1039/c9ra09572a ↗
- Languages:
- English
- ISSNs:
- 2046-2069
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8036.750300
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 12577.xml