<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-13T13:25:53Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2117/23660" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2117/23660</identifier><datestamp>2025-07-17T03:58:52Z</datestamp><setSpec>com_2072_1033</setSpec><setSpec>col_2072_452950</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Online identification of time varying parameters in PEM fuel cells</dc:title>
   <dc:creator>Kunusch, Cristian</dc:creator>
   <dc:contributor>Universitat Politècnica de Catalunya. ACES - Control Avançat de Sistemes d'Energia</dc:contributor>
   <dc:subject>Àrees temàtiques de la UPC::Informàtica::Robòtica</dc:subject>
   <dc:subject>Observers (Control theory)</dc:subject>
   <dc:subject>automation &#xd;
observability&#xd;
&#xd;
PARAULES AUTOR: PEM fuel cells</dc:subject>
   <dc:subject>membrane water transport</dc:subject>
   <dc:subject>online parameter identification</dc:subject>
   <dc:subject>Kalman filtering</dc:subject>
   <dc:subject>Kalman, Filtratge de</dc:subject>
   <dc:subject>Classificació INSPEC::Automation</dc:subject>
   <dc:description>This article tackles some ideas about parameters identification in the anode line of a typical PEM fuel cell test station. The approach is focused in the nonlinear model structure and solves an observation problem using a system transformation and Kalman filtering. Simulation results are presented to show the feasibility of the proposal.</dc:description>
   <dc:description>Peer Reviewed</dc:description>
   <dc:description>Postprint (author’s final draft)</dc:description>
   <dc:date>2013</dc:date>
   <dc:type>Conference report</dc:type>
   <dc:identifier>Kunusch, C. Online identification of time varying parameters in PEM fuel cells. A: International Conference on Fundamentals &amp; Development of Fuel Cells. "Proceedings of the 5th International Conference on Fundamentals &amp; Development of Fuel Cells". Karlsruhe: 2013.</dc:identifier>
   <dc:identifier>https://hdl.handle.net/2117/23660</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>http://fdfc2013.eifer.uni-karlsruhe.de/images/phocadownload/fdfc2013_program</dc:relation>
   <dc:relation>info:eu-repo/grantAgreement/EC/FP7/303419/EU/Physical bottom Up Multiscale Modelling for Automotive PEMFC Innovative performance and Durability optimization/PUMA MIND</dc:relation>
   <dc:relation>info:eu-repo/grantAgreement/EC/FP7/293876/EU/Advanced Controllers and Observers Development for Fuel Cell based Generation Systems/ACOFC</dc:relation>
   <dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/es/</dc:rights>
   <dc:rights>Open Access</dc:rights>
   <dc:rights>Attribution-NonCommercial-NoDerivs 3.0 Spain</dc:rights>
   <dc:format>application/pdf</dc:format>
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