Fuel cell-supercapacitor topologies benchmark for a three-wheel electric vehicle powertrain


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Macias, A., Kandidayeni, M., Boulon, L. et Trovão, J. P. (2021). Fuel cell-supercapacitor topologies benchmark for a three-wheel electric vehicle powertrain. Energy, 224 . ISSN 0360-5442 DOI 10.1016/j.energy.2021.120234

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This paper compares three optimal hybrid energy system configurations, namely full-active, semi-active and passive, for the particular purpose of assessing the viability of utilizing the passive architecture in a three-wheel electric vehicle composed of a fuel cell (FC) and a supercapacitor. In this respect, the characteristics of these configurations are investigated through three steps. Firstly, the mathematical model of each component is developed by employing experimental data. Subsequently, the optimal size of each topology is determined by a two-step optimization approach. This approach is based on the optimized sizing of power sources, employing a metaheuristic optimization algorithm, and optimal power flow sharing between the sources with the aim of satisfying the requested power while declining the fuel consumption and enhancing the system's lifetime. Finally, the best-achieved size of each architecture is compared in terms of trip cost, capital cost, and the system weight. The obtained results show that passive topology can reduce the trip cost by 14.8% and 6.4% compared to full-active and semi-active ones, respectively. However, the active architecture results in less degradation in the FC compared to the other two topologies. Furthermore, a validation phase is done under a real driving profile and the results are further discussed. © 2021 Elsevier Ltd

Type de document: Article
Mots-clés libres: components sizing energy management passive configuration PEMFC two-step optimization ultracapacitor electric load flow proton exchange membrane fuel cells (PEMFC) supercapacitor topology wheels component sizing energy P.E.M.F.C semi-active three wheels topology benchmarks trip cost two-step optimizations ultracapacitors optimization algorithm detection method electric vehicle fuel cell fuel consumption model validation
Date de dépôt: 24 août 2021 18:16
Dernière modification: 02 juin 2023 04:00
Version du document déposé: Post-print (version corrigée et acceptée)
URI: https://depot-e.uqtr.ca/id/eprint/9711

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