Reliability modelling of PEM fuel cells with hybrid Petri nets

Vasilyev, A.; Andrews, John D.; Jackson, L.M.; Dunnett, S.

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 distribution of system parameters, thus providing an estimate of best and worst scenarios of a fuel cell lifetime.

Citation

Vasilyev, A., Andrews, J. D., Jackson, L., & Dunnett, S. (2017). Reliability modelling of PEM fuel cells with hybrid Petri nets. In Safety and Reliability – Theory and Application: ESREL 2017. CRC Press

• Acceptance Date: Feb 1, 2017
• Publication Date: May 25, 2017
• Deposit Date: Mar 6, 2017
• Publicly Available Date: May 25, 2017
• Peer Reviewed: Peer Reviewed
• Book Title: Safety and Reliability – Theory and Application: ESREL 2017
• ISBN: 9781138629370
• Public URL: https://nottingham-repository.worktribe.com/output/862136
• Additional Information: Papers presented at ESREL 2017 published in the conference proceedings issued by Taylor and Francis, CRC Press: Safety and Reliability – Theory and Application: ESREL 2017. https://www.crcpress.com/ESREL-2017-Portoroz-Slovenia-18-22-June-2017/Cepin-Bris/p/book/9781138629370
• Contract Date: Mar 6, 2017