Multi-Criteria Optimal Design for FUEL Cell Hybrid Power Sources

Adriano Ceschia, Toufik Azib, Olivier Bethoux and Francisco Alves
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Adriano Ceschia: ESTACA’LAB, S2ET Department, ESTACA Engineering School–Paris Sacley, 12 Avenue Paul Delouvrier, 78180 Montigny-le-Bretonneux, France
Toufik Azib: ESTACA’LAB, S2ET Department, ESTACA Engineering School–Paris Sacley, 12 Avenue Paul Delouvrier, 78180 Montigny-le-Bretonneux, France
Olivier Bethoux: GeePs, Group of Electrical Engineering—Paris, UMR CNRS 8507, CentraleSupélec School, University of Paris-Saclay, Sorbonne University, 3 Rue Joliot-Curie, 91192 Gif-sur-Yvette, France
Francisco Alves: GeePs, Group of Electrical Engineering—Paris, UMR CNRS 8507, CentraleSupélec School, University of Paris-Saclay, Sorbonne University, 3 Rue Joliot-Curie, 91192 Gif-sur-Yvette, France

Energies, 2022, vol. 15, issue 9, 1-18

Abstract: This paper presents the development of a global and integrated sizing approach under different performance indexes applied to fuel cell/battery hybrid power systems. The strong coupling between the hardware sizing process and the system supervision (energy management strategy EMS) makes it hard for the design to consider all the possibilities, and today’s methodologies are mostly experience-based approaches that are impervious to technological disruption. With a smart design approach, new technologies are easier to consider, and this approach facilitates the use of new technologies for transport applications with a decision help tool. An automotive application with a hybrid fuel cell (PEMFC)/battery (Li-Ion) is considered to develop this approach. The proposed approach is based on imbricated optimization loops and considers multiple criteria such as the fuel consumption, reliability, and volume of the architecture, in keeping with industry expectations to allow a good trade-off between different performance indexes and explore their design options. This constitutes a low computational time and a very effective support tool that allows limited overconsumption and lifetime reduction for designed architecture in extreme and non-optimal use. We obtain, thanks to this work, a pre-design tool that helps to realize the first conception choice.

Keywords: optimal sizing; reliability assessment; design methodology; hybrid power source; fuel cell/battery; global design methodology; multi-objective optimization (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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