000903868 001__ 903868
000903868 005__ 20240712113149.0
000903868 0247_ $$2doi$$a10.3389/fenrg.2021.780473
000903868 0247_ $$2Handle$$a2128/29552
000903868 0247_ $$2altmetric$$aaltmetric:115488914
000903868 0247_ $$2WOS$$aWOS:000730907600001
000903868 037__ $$aFZJ-2021-05501
000903868 082__ $$a333.7
000903868 1001_ $$0P:(DE-Juel1)129878$$aKulikovsky, Andrei$$b0$$eCorresponding author$$ufzj
000903868 245__ $$aA Kernel for Calculating PEM Fuel Cell Distribution of Relaxation Times
000903868 260__ $$aLausanne$$bFrontiers Media$$c2021
000903868 3367_ $$2DRIVER$$aarticle
000903868 3367_ $$2DataCite$$aOutput Types/Journal article
000903868 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1640071292_28379
000903868 3367_ $$2BibTeX$$aARTICLE
000903868 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000903868 3367_ $$00$$2EndNote$$aJournal Article
000903868 520__ $$aImpedance of all oxygen transport processes in PEM fuel cell has negative real part in some frequency domain. A kernel for calculation of distribution of relaxation times (DRT) of a PEM fuel cell is suggested. The kernel is designed for capturing impedance with negative real part and it stems from the equation for impedance of oxygen transport through the gas-diffusion transport layer (doi:10.1149/2.0911509jes). Using recent analytical solution for the cell impedance, it is shown that DRT calculated with the novel K2 kernel correctly captures the GDL transport peak, whereas the classic DRT based on the RC-circuit (Debye) kernel misses this peak. Using K2 kernel, analysis of DRT spectra of a real PEMFC is performed. The leftmost on the frequency scale DRT peak represents oxygen transport in the channel, and the rightmost peak is due to proton transport in the cathode catalyst layer. The second, third, and fourth peaks exhibit oxygen transport in the GDL, faradaic reactions on the cathode side, and oxygen transport in the catalyst layer, respectively.
000903868 536__ $$0G:(DE-HGF)POF4-1231$$a1231 - Electrochemistry for Hydrogen (POF4-123)$$cPOF4-123$$fPOF IV$$x0
000903868 588__ $$aDataset connected to CrossRef, Journals: juser.fz-juelich.de
000903868 773__ $$0PERI:(DE-600)2733788-1$$a10.3389/fenrg.2021.780473$$gVol. 9, p. 780473$$p780473$$tFrontiers in energy research$$v9$$x2296-598X$$y2021
000903868 8564_ $$uhttps://juser.fz-juelich.de/record/903868/files/fenrg-09-780473.pdf$$yOpenAccess
000903868 8767_ $$d2023-01-12$$eAPC$$jDeposit$$lDeposit: Frontiers
000903868 909CO $$ooai:juser.fz-juelich.de:903868$$pdnbdelivery$$popenCost$$pVDB$$pdriver$$pOpenAPC$$popen_access$$popenaire
000903868 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129878$$aForschungszentrum Jülich$$b0$$kFZJ
000903868 9131_ $$0G:(DE-HGF)POF4-123$$1G:(DE-HGF)POF4-120$$2G:(DE-HGF)POF4-100$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-1231$$aDE-HGF$$bForschungsbereich Energie$$lMaterialien und Technologien für die Energiewende (MTET)$$vChemische Energieträger$$x0
000903868 9141_ $$y2021
000903868 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2021-01-29
000903868 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2021-01-29
000903868 915__ $$0StatID:(DE-HGF)1160$$2StatID$$aDBCoverage$$bCurrent Contents - Engineering, Computing and Technology$$d2021-01-29
000903868 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0
000903868 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bFRONT ENERGY RES : 2019$$d2021-01-29
000903868 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2021-01-29
000903868 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2021-01-29
000903868 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2021-01-29
000903868 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2021-01-29
000903868 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2021-01-29
000903868 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2021-01-29
000903868 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000903868 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Blind peer review$$d2021-01-29
000903868 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2021-01-29
000903868 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2021-01-29
000903868 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2021-01-29
000903868 915pc $$0PC:(DE-HGF)0001$$2APC$$aLocal Funding
000903868 915pc $$0PC:(DE-HGF)0002$$2APC$$aDFG OA Publikationskosten
000903868 915pc $$0PC:(DE-HGF)0003$$2APC$$aDOAJ Journal
000903868 920__ $$lyes
000903868 9201_ $$0I:(DE-Juel1)IEK-13-20190226$$kIEK-13$$lIEK-13$$x0
000903868 9801_ $$aFullTexts
000903868 980__ $$ajournal
000903868 980__ $$aVDB
000903868 980__ $$aUNRESTRICTED
000903868 980__ $$aI:(DE-Juel1)IEK-13-20190226
000903868 980__ $$aAPC
000903868 981__ $$aI:(DE-Juel1)IET-3-20190226