Modeling and analyzing load profiles for fuel cell powered cargo bicycles
Main Author: | |
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Publication Date: | 2019 |
Format: | Master thesis |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | https://hdl.handle.net/10216/122194 |
Summary: | Proton exchange membrane fuel cells (PEMFCs) are the forefront for transportation applications because of the high efficiency and low pollutant emissions. The Polymer Fuel Cell Group of the German Aerospace Center (DLR) is rolling out a demonstration project for the use of electrical cargo bicycles powered by fuel cells, in urban delivery services. The performance and degradation expected from these fuel cells are yet to be known when they are subject to real operating conditions. The goal of this master thesis is to analyze different load cycles that simulate real driving profiles and study the performance and degradation of the cell along time. To study this, Ex-Situ and In-situ characterization of the cell will be made. In-situ techniques will be based on Cyclic Voltammetry (CV) and Electrochemical Impedance spectroscopy (EIS). To evaluate the changes on the surface of different parts of the cell and assess its degradation, Ex-Situ analysis will be performed using scanning electron microscopy (SEM) and X-ray photoelectron spectroscopy (XPS). Additionally a data acquisition unit will be developed to gather real-time information of the testing station. |
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Modeling and analyzing load profiles for fuel cell powered cargo bicyclesEngenharia electrotécnica, electrónica e informáticaElectrical engineering, Electronic engineering, Information engineeringProton exchange membrane fuel cells (PEMFCs) are the forefront for transportation applications because of the high efficiency and low pollutant emissions. The Polymer Fuel Cell Group of the German Aerospace Center (DLR) is rolling out a demonstration project for the use of electrical cargo bicycles powered by fuel cells, in urban delivery services. The performance and degradation expected from these fuel cells are yet to be known when they are subject to real operating conditions. The goal of this master thesis is to analyze different load cycles that simulate real driving profiles and study the performance and degradation of the cell along time. To study this, Ex-Situ and In-situ characterization of the cell will be made. In-situ techniques will be based on Cyclic Voltammetry (CV) and Electrochemical Impedance spectroscopy (EIS). To evaluate the changes on the surface of different parts of the cell and assess its degradation, Ex-Situ analysis will be performed using scanning electron microscopy (SEM) and X-ray photoelectron spectroscopy (XPS). Additionally a data acquisition unit will be developed to gather real-time information of the testing station.2019-07-052019-07-05T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/10216/122194TID:202390993engDaniel José Damas da Silva Lealinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-27T16:34:22Zoai:repositorio-aberto.up.pt:10216/122194Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T21:46:53.788996Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Modeling and analyzing load profiles for fuel cell powered cargo bicycles |
title |
Modeling and analyzing load profiles for fuel cell powered cargo bicycles |
spellingShingle |
Modeling and analyzing load profiles for fuel cell powered cargo bicycles Daniel José Damas da Silva Leal Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
title_short |
Modeling and analyzing load profiles for fuel cell powered cargo bicycles |
title_full |
Modeling and analyzing load profiles for fuel cell powered cargo bicycles |
title_fullStr |
Modeling and analyzing load profiles for fuel cell powered cargo bicycles |
title_full_unstemmed |
Modeling and analyzing load profiles for fuel cell powered cargo bicycles |
title_sort |
Modeling and analyzing load profiles for fuel cell powered cargo bicycles |
author |
Daniel José Damas da Silva Leal |
author_facet |
Daniel José Damas da Silva Leal |
author_role |
author |
dc.contributor.author.fl_str_mv |
Daniel José Damas da Silva Leal |
dc.subject.por.fl_str_mv |
Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
topic |
Engenharia electrotécnica, electrónica e informática Electrical engineering, Electronic engineering, Information engineering |
description |
Proton exchange membrane fuel cells (PEMFCs) are the forefront for transportation applications because of the high efficiency and low pollutant emissions. The Polymer Fuel Cell Group of the German Aerospace Center (DLR) is rolling out a demonstration project for the use of electrical cargo bicycles powered by fuel cells, in urban delivery services. The performance and degradation expected from these fuel cells are yet to be known when they are subject to real operating conditions. The goal of this master thesis is to analyze different load cycles that simulate real driving profiles and study the performance and degradation of the cell along time. To study this, Ex-Situ and In-situ characterization of the cell will be made. In-situ techniques will be based on Cyclic Voltammetry (CV) and Electrochemical Impedance spectroscopy (EIS). To evaluate the changes on the surface of different parts of the cell and assess its degradation, Ex-Situ analysis will be performed using scanning electron microscopy (SEM) and X-ray photoelectron spectroscopy (XPS). Additionally a data acquisition unit will be developed to gather real-time information of the testing station. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-07-05 2019-07-05T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10216/122194 TID:202390993 |
url |
https://hdl.handle.net/10216/122194 |
identifier_str_mv |
TID:202390993 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
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FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
repository.mail.fl_str_mv |
info@rcaap.pt |
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1833599422195302400 |