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Dynamic reliability assessment of PEM fuel cell systems

journal contribution
posted on 08.02.2021, 11:52 by Andrey Vasilyev, John Andrews, Sarah DunnettSarah Dunnett, Lisa JacksonLisa Jackson
In this paper, a novel model for the dynamic reliability analysis of a polymer electrolyte membrane fuel cell system is developed to account for multi-state dynamics and ageing. The modelling approach involves the combination of physical and stochastic sub-models with shared variables. The physical model consists 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 is implemented with stochastic Petri nets which model the failures of the balance of plant components within the fuel cell system. Using this approach, the effects of the operating conditions on the reliability of the system were investigated. Monte Carlo simulations of the process highlighted a clear influence of both purging and load cycles on the longevity of the fuel cell system.

Funding

Robust Lifecycle Design and Health Monitoring for Fuel-Cell Extended Performance (RESILIENCE)

Engineering and Physical Sciences Research Council

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History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

Reliability Engineering and System Safety

Volume

210

Publisher

Elsevier

Version

AM (Accepted Manuscript)

Rights holder

© Elsevier

Publisher statement

This paper was accepted for publication in the journal Reliability Engineering and System Safety and the definitive published version is available at https://doi.org/10.1016/j.ress.2021.107539.

Acceptance date

06/02/2021

Publication date

2021-02-09

Copyright date

2021

ISSN

0951-8320

Language

en

Depositor

Dr Sarah Dunnett Deposit date: 8 February 2021

Article number

107539