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Modelling and Performance Analysis of an Autonomous Marine Vehicle Powered by a Fuel Cell Hybrid Powertrain

Author

Listed:
  • Giuseppe De Lorenzo

    (Department of Mechanical, Energy and Management Engineering, University of Calabria, Via P. Bucci, Arcavacata di Rende, 87036 Cosenza, Italy)

  • Francesco Piraino

    (Department of Mechanical, Energy and Management Engineering, University of Calabria, Via P. Bucci, Arcavacata di Rende, 87036 Cosenza, Italy)

  • Francesco Longo

    (Department of Mechanical, Energy and Management Engineering, University of Calabria, Via P. Bucci, Arcavacata di Rende, 87036 Cosenza, Italy)

  • Giovanni Tinè

    (Institute of Marine Engineering, National Research Council of Italy, Via Ugo La Malfa, 153, 90146 Palermo, Italy)

  • Valeria Boscaino

    (Institute of Marine Engineering, National Research Council of Italy, Via Ugo La Malfa, 153, 90146 Palermo, Italy)

  • Nicola Panzavecchia

    (Institute of Marine Engineering, National Research Council of Italy, Via Ugo La Malfa, 153, 90146 Palermo, Italy)

  • Massimo Caccia

    (Institute of Marine Engineering, National Research Council, Via De Marini 6, 16149 Genoa, Italy)

  • Petronilla Fragiacomo

    (Department of Mechanical, Energy and Management Engineering, University of Calabria, Via P. Bucci, Arcavacata di Rende, 87036 Cosenza, Italy)

Abstract

This paper describes the implementation of a hydrogen-based system for an autonomous surface vehicle in an effort to reduce environmental impact and increase driving range. In a suitable computational environment, the dynamic electrical model of the entire hybrid powertrain, consisting of a proton exchange membrane fuel cell, a hydrogen metal hydride storage system, a lithium battery, two brushless DC motors, and two control subsystems, is implemented. The developed calculation tool is used to perform the dynamic analysis of the hybrid propulsion system during four different operating journeys, investigating the performance achieved to examine the obtained performance, determine the feasibility of the work runs and highlight the critical points. During the trips, the engine shows fluctuating performance trends while the energy consumption reaches 1087 Wh for the fuel cell (corresponding to 71 g of hydrogen) and 370 Wh for the battery, consuming almost all the energy stored on board.

Suggested Citation

  • Giuseppe De Lorenzo & Francesco Piraino & Francesco Longo & Giovanni Tinè & Valeria Boscaino & Nicola Panzavecchia & Massimo Caccia & Petronilla Fragiacomo, 2022. "Modelling and Performance Analysis of an Autonomous Marine Vehicle Powered by a Fuel Cell Hybrid Powertrain," Energies, MDPI, vol. 15(19), pages 1-21, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:6926-:d:921460
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    References listed on IDEAS

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    1. Petronilla Fragiacomo & Giuseppe De Lorenzo & Orlando Corigliano, 2018. "Performance Analysis of an Intermediate Temperature Solid Oxide Electrolyzer Test Bench under a CO 2 -H 2 O Feed Stream," Energies, MDPI, vol. 11(9), pages 1-17, August.
    2. Remzi Can Samsun & Michael Rex & Laurent Antoni & Detlef Stolten, 2022. "Deployment of Fuel Cell Vehicles and Hydrogen Refueling Station Infrastructure: A Global Overview and Perspectives," Energies, MDPI, vol. 15(14), pages 1-34, July.
    3. Viviana Cigolotti & Matteo Genovese & Petronilla Fragiacomo, 2021. "Comprehensive Review on Fuel Cell Technology for Stationary Applications as Sustainable and Efficient Poly-Generation Energy Systems," Energies, MDPI, vol. 14(16), pages 1-28, August.
    4. Juan C. González Palencia & Van Tuan Nguyen & Mikiya Araki & Seiichi Shiga, 2020. "The Role of Powertrain Electrification in Achieving Deep Decarbonization in Road Freight Transport," Energies, MDPI, vol. 13(10), pages 1-24, May.
    5. Chengyuan He & Thomas Wu, 2018. "Permanent Magnet Brushless DC Motor and Mechanical Structure Design for the Electric Impact Wrench System," Energies, MDPI, vol. 11(6), pages 1-24, May.
    6. Chang-Sung Jin & Chang-Min Kim & In-Jin Kim & Iksang Jang, 2021. "Proposed Commutation Method for Performance Improvement of Brushless DC Motor," Energies, MDPI, vol. 14(19), pages 1-16, September.
    7. Ioan-Sorin Sorlei & Nicu Bizon & Phatiphat Thounthong & Mihai Varlam & Elena Carcadea & Mihai Culcer & Mariana Iliescu & Mircea Raceanu, 2021. "Fuel Cell Electric Vehicles—A Brief Review of Current Topologies and Energy Management Strategies," Energies, MDPI, vol. 14(1), pages 1-29, January.
    8. Francesco Piraino & Petronilla Fragiacomo, 2020. "Design of an Equivalent Consumption Minimization Strategy-Based Control in Relation to the Passenger Number for a Fuel Cell Tram Propulsion," Energies, MDPI, vol. 13(15), pages 1-16, August.
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    Cited by:

    1. Chen, Xu & Li, Mince & Chen, Zonghai, 2023. "Meta rule-based energy management strategy for battery/supercapacitor hybrid electric vehicles," Energy, Elsevier, vol. 285(C).
    2. Abdessamad Intidam & Hassan El Fadil & Halima Housny & Zakariae El Idrissi & Abdellah Lassioui & Soukaina Nady & Abdeslam Jabal Laafou, 2023. "Development and Experimental Implementation of Optimized PI-ANFIS Controller for Speed Control of a Brushless DC Motor in Fuel Cell Electric Vehicles," Energies, MDPI, vol. 16(11), pages 1-23, May.

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