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Sizing and Control Algorithms of a Hybrid Energy Storage System Based on Fuel Cells

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  • Arkadiusz Adamczyk

    (Faculty of Mechanical and Electrical Engineering, Institute of Electrical Engineering, Polish Naval Academy, Śmidowicza 69 Str., 81-127 Gdynia, Poland)

Abstract

Growing consciousness of the threat posed by man-made climate change has spurred government institutions, industry, and science to find clean fuels to power economic activity. Fuel cells powered by hydrogen are one of the steps in gaining clean energy. To improve the efficiency of the fuel cell, the hybrid solutions are required. This article shows a new approach to the design and control of a hybrid energy storage system for portable applications. The methodology allows us to optimize the desired physical parameters of the elements (weight or size) in order to withstand the connected load power demand. Such an approach allows us to minimize weight, which is essential in portable systems. The methodology was proven by building a technology demonstrator. The measurements of physical objects verified the electrical parameters received during simulation and allowed a lower weight of the system, compared to the system based only on Li-ion batteries.

Suggested Citation

  • Arkadiusz Adamczyk, 2020. "Sizing and Control Algorithms of a Hybrid Energy Storage System Based on Fuel Cells," Energies, MDPI, vol. 13(19), pages 1-15, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:19:p:5147-:d:423114
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    References listed on IDEAS

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    1. Jamila Snoussi & Seifeddine Ben Elghali & Mohamed Benbouzid & Mohamed Faouzi Mimouni, 2018. "Auto-Adaptive Filtering-Based Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles," Energies, MDPI, vol. 11(8), pages 1-20, August.
    2. Kuik, Onno & Branger, Frédéric & Quirion, Philippe, 2019. "Competitive advantage in the renewable energy industry: Evidence from a gravity model," Renewable Energy, Elsevier, vol. 131(C), pages 472-481.
    3. Carmen Raga & Andres Barrado & Antonio Lazaro & Alberto Martin-Lozano & Isabel Quesada & Pablo Zumel, 2018. "Influence of the Main Design Factors on the Optimal Fuel Cell-Based Powertrain Sizing," Energies, MDPI, vol. 11(11), pages 1-22, November.
    4. Jeffery B. Greenblatt & Samveg Saxena, 2015. "Autonomous taxis could greatly reduce greenhouse-gas emissions of US light-duty vehicles," Nature Climate Change, Nature, vol. 5(9), pages 860-863, September.
    5. Zhiyu You & Liwei Wang & Ying Han & Firuz Zare, 2018. "System Design and Energy Management for a Fuel Cell/Battery Hybrid Forklift," Energies, MDPI, vol. 11(12), pages 1-24, December.
    6. Wang, Yujie & Sun, Zhendong & Chen, Zonghai, 2019. "Energy management strategy for battery/supercapacitor/fuel cell hybrid source vehicles based on finite state machine," Applied Energy, Elsevier, vol. 254(C).
    7. Andreas W. Schäfer & Steven R. H. Barrett & Khan Doyme & Lynnette M. Dray & Albert R. Gnadt & Rod Self & Aidan O’Sullivan & Athanasios P. Synodinos & Antonio J. Torija, 2019. "Technological, economic and environmental prospects of all-electric aircraft," Nature Energy, Nature, vol. 4(2), pages 160-166, February.
    8. Bandivadekar, Anup & Cheah, Lynette & Evans, Christopher & Groode, Tiffany & Heywood, John & Kasseris, Emmanuel & Kromer, Matthew & Weiss, Malcolm, 2008. "Reducing the fuel use and greenhouse gas emissions of the US vehicle fleet," Energy Policy, Elsevier, vol. 36(7), pages 2754-2760, July.
    9. Ioan Aschilean & Gabriel Rasoi & Maria Simona Raboaca & Constantin Filote & Mihai Culcer, 2018. "Design and Concept of an Energy System Based on Renewable Sources for Greenhouse Sustainable Agriculture," Energies, MDPI, vol. 11(5), pages 1-12, May.
    10. Nowotny, Janusz & Dodson, John & Fiechter, Sebastian & Gür, Turgut M. & Kennedy, Brendan & Macyk, Wojciech & Bak, Tadeusz & Sigmund, Wolfgang & Yamawaki, Michio & Rahman, Kazi A., 2018. "Towards global sustainability: Education on environmentally clean energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2541-2551.
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