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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/24508

Title: Reliability modelling of PEM fuel cells with hybrid petri nets
Authors: Vasilyev, Andrey
Jackson, Lisa M.
Dunnett, Sarah J.
Andrews, J.D.
Issue Date: 2017
Publisher: © CRC Press
Citation: VASILYEV, A. ... et al, 2017. Reliability modelling of PEM fuel cells with hybrid petri nets. IN: Cepin, M. and Bris, R. (eds.) Safety and Reliability. Theory and Applications. Abingdon, Oxon: CRC Press, pp. 415.
Abstract: 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 distri-bution of system parameters, thus providing an estimate of best and worst scenarios of a fuel cell lifetime.
Description: This paper was presented at 27th European Safety and Reliability Conference (ESREL 2017, Portoroz, Slovenia, June 18-22, 2017. This paper is closed access until 25th May 2018.
Sponsor: The authors gratefully acknowledge the support of EPSRC (grant number EP/K02101X/1) which has enabled the research reported in this paper.
Version: Accepted for publication
DOI: 10.1201/9781315210
URI: https://dspace.lboro.ac.uk/2134/24508
Publisher Link: https://doi.org/10.1201/9781315210
ISBN: 9781138629370
Appears in Collections:Closed Access (Aeronautical and Automotive Engineering)

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