Pre-Sizing Approach of a Fuel Cell-Battery Hybrid Power System with Interleaved Converters

Victor Mercier, Adriano Ceschia, Toufik Azib () and Cherif Larouci ()
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Victor Mercier: ESTACA, ESTACA’Lab, Paris-Saclay, 78066 Paris, France
Adriano Ceschia: ESTACA, ESTACA’Lab, Paris-Saclay, 78066 Paris, France
Toufik Azib: ESTACA, ESTACA’Lab, Paris-Saclay, 78066 Paris, France
Cherif Larouci: ESTACA, ESTACA’Lab, Paris-Saclay, 78066 Paris, France

Energies, 2023, vol. 16, issue 10, 1-21

Abstract: This paper proposes a design methodology that is dedicated to improving the concept of a modular hybrid power chain that uses interleaved converters. The approach involves optimising the system under multi-physical constraints, where the number of cells in the interleaved converters is considered as a key modular parameter. The methodology uses analytical models to strike a balance between computation time and result accuracy. This compromise is indispensable to the construction of a smart design approach under multi-physical constraints, such as electric, efficiency, volume, and thermal constraints. The proposed approach has been applied to a hybrid fuel cell and battery power system for automotive applications; the goal is to obtain a global optimal architecture chain by optimising the number of interleaved converter cells and by determining appropriate power electronics components and the optimal sizing of sources. This constitutes the primary step for providing an effective pre-design support tool for considering architecture modularity, facilitating the use of new technologies in the early design stage. The results showed that the interleaving concept allows for better flexibility in respecting the design constraints to improve the design of hybrid power systems. The analysis also highlights the current limitations and performance of the optimisation method and suggests new areas for future work.

Keywords: fuel cell electric vehicle; interleaved converters; conception approach; multi-physical optimisation; modular architecture (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: 2023
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