Reliability modelling of PEM fuel cells with hybrid Petri nets

In this paper, a novel model for dynamic reliability analysis of a PEM fuel cell system is developed using Modelica language in order to account for multi-state dynamics and aging. The modelling approach constitutes the combination of physical and stochastic sub-models with shared variables. The phy...

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Main Authors: Vasilyev, A., Andrews, John D., Jackson, L.M., Dunnett, S.
Format: Book Section
Published: CRC Press 2017
Online Access:https://eprints.nottingham.ac.uk/41084/
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author Vasilyev, A.
Andrews, John D.
Jackson, L.M.
Dunnett, S.
author_facet Vasilyev, A.
Andrews, John D.
Jackson, L.M.
Dunnett, S.
author_sort Vasilyev, A.
building Nottingham Research Data Repository
collection Online Access
description In this paper, a novel model for dynamic reliability analysis of a PEM fuel cell system is developed using Modelica language in order to account for multi-state dynamics and aging. The modelling approach constitutes the combination of physical and stochastic sub-models with shared variables. The physical model consist of deterministic calculations of the system state described by variables such as temperature, pressure, mass flow rates and voltage output. Additionally, estimated component degradation rates are also taken into account. The non-deterministic model, on the other hand, is implemented with stochastic Petri nets which represent different events that can occur at random times during fuel cell lifetime. A case study of effects of a cooling system on fuel cell performance was investigated. Monte Carlo simulations of the process resulted in a distribution of system parameters, thus providing an estimate of best and worst scenarios of a fuel cell lifetime.
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format Book Section
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institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T19:44:05Z
publishDate 2017
publisher CRC Press
recordtype eprints
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spelling nottingham-410842020-05-04T18:47:10Z https://eprints.nottingham.ac.uk/41084/ Reliability modelling of PEM fuel cells with hybrid Petri nets Vasilyev, A. Andrews, John D. Jackson, L.M. Dunnett, S. In this paper, a novel model for dynamic reliability analysis of a PEM fuel cell system is developed using Modelica language in order to account for multi-state dynamics and aging. The modelling approach constitutes the combination of physical and stochastic sub-models with shared variables. The physical model consist of deterministic calculations of the system state described by variables such as temperature, pressure, mass flow rates and voltage output. Additionally, estimated component degradation rates are also taken into account. The non-deterministic model, on the other hand, is implemented with stochastic Petri nets which represent different events that can occur at random times during fuel cell lifetime. A case study of effects of a cooling system on fuel cell performance was investigated. Monte Carlo simulations of the process resulted in a distribution of system parameters, thus providing an estimate of best and worst scenarios of a fuel cell lifetime. CRC Press 2017-05-25 Book Section PeerReviewed Vasilyev, A., Andrews, John D., Jackson, L.M. and Dunnett, S. (2017) Reliability modelling of PEM fuel cells with hybrid Petri nets. In: Safety and Reliability – Theory and Application: ESREL 2017. CRC Press. ISBN 9781138629370
spellingShingle Vasilyev, A.
Andrews, John D.
Jackson, L.M.
Dunnett, S.
Reliability modelling of PEM fuel cells with hybrid Petri nets
title Reliability modelling of PEM fuel cells with hybrid Petri nets
title_full Reliability modelling of PEM fuel cells with hybrid Petri nets
title_fullStr Reliability modelling of PEM fuel cells with hybrid Petri nets
title_full_unstemmed Reliability modelling of PEM fuel cells with hybrid Petri nets
title_short Reliability modelling of PEM fuel cells with hybrid Petri nets
title_sort reliability modelling of pem fuel cells with hybrid petri nets
url https://eprints.nottingham.ac.uk/41084/