Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799204
Title: Modelling polymer electrolyte membrane fuel cells for dynamic reliability assessment
Author: Vasilyev, Andrey
ISNI:       0000 0004 8510 0560
Awarding Body: Loughborough University
Current Institution: Loughborough University
Date of Award: 2019
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Abstract:
Tackling climate change is arguably the biggest challenge humanity faces in the 21st century. Rising average global temperatures threaten to destabilize the fragile ecosystem of the Earth and bring unprecedented changes to human lives if nothing is done to prevent it. This phenomenon is caused by the anthropogenic greenhouse effect due to the increasing atmospheric concentrations of carbon dioxide (CO2). One way to avert the disaster is to drastically reduce the consumption of fossil fuels in all spheres of human activities, including transportation. To do this, research and development of electric vehicles (EVs) to make them more efficient, reliable and accessible is essential.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.799204  DOI:
Keywords: PEM fuel cells ; fuel cells ; Physics-based modelling ; bond graphs ; Modelling ; reliability modelling ; reliability analysis ; dynamic reliability ; Petri nets ; Monte Carlo simulation ; Modelica
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