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Power Management Strategy of Hybrid Fuel Cell Drones for Flight Performance Improvement Based on Various Algorithms

Author

Listed:
  • Daeil Hyun

    (Department of Future Convergence Engineering, Kongju National University, 1223-24, Cheonan-daero, Seobuk-gu, Cheonan-si 31080, Chungcheongnam-do, Republic of Korea)

  • Jaeyoung Han

    (Department of Future Automotive Engineering, Kongju National University, 1223-24, Cheonan-daero, Seobuk-gu, Cheonan-si 31080, Chungcheongnam-do, Republic of Korea
    Institute of Green Car Technology, Kongju National University, 1223-24, Cheonan-daero, Seobuk-gu, Cheonan-si 31080, Chungcheongnam-do, Republic of Korea)

  • Seokmoo Hong

    (Department of Future Automotive Engineering, Kongju National University, 1223-24, Cheonan-daero, Seobuk-gu, Cheonan-si 31080, Chungcheongnam-do, Republic of Korea
    Institute of Green Car Technology, Kongju National University, 1223-24, Cheonan-daero, Seobuk-gu, Cheonan-si 31080, Chungcheongnam-do, Republic of Korea)

Abstract

In recent years, there has been a growing demand for multipurpose drones that can handle surveillance, environmental monitoring, and urgent deliveries. This trend has spurred the need for increased power and longer flight times for drones. Hence, many researchers introduced various hybrid systems to enhance endurance. In particular, a hybrid system that integrates solar cells, fuel cells, and batteries can substantially enhance a drone’s endurance. However, linking multiple power sources necessitates a control strategy that prioritizes safety and durability. It is also essential to analyze the control characteristics of each component as the dynamic behavior of individual components, coupled with environmental factors, significantly impacts the overall dynamic characteristics of drone systems. This study introduces a PEMFC–battery drone model. The model’s dynamic characteristics can be evaluated based on changes in environmental conditions and the control strategies of primary components. The validity of this model is confirmed by analyzing the dynamic characteristics of drone systems. As a result, the MRAC logic applied to the flight-level control and thrust motor of the drone was found to amplify the characteristics of the underlying PI and IP controllers. These control characteristics can lead to the development of control strategies for improving the flight performance or power durability of the aircraft by being properly applied to the flight environment of the drone.

Suggested Citation

  • Daeil Hyun & Jaeyoung Han & Seokmoo Hong, 2023. "Power Management Strategy of Hybrid Fuel Cell Drones for Flight Performance Improvement Based on Various Algorithms," Energies, MDPI, vol. 16(24), pages 1-21, December.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:24:p:8001-:d:1297508
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    References listed on IDEAS

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    1. Kurnia, Jundika C. & Sasmito, Agus P. & Shamim, Tariq, 2019. "Advances in proton exchange membrane fuel cell with dead-end anode operation: A review," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    2. Boukoberine, Mohamed Nadir & Zhou, Zhibin & Benbouzid, Mohamed, 2019. "A critical review on unmanned aerial vehicles power supply and energy management: Solutions, strategies, and prospects," Applied Energy, Elsevier, vol. 255(C).
    3. Feroldi, Diego & Carignano, Mauro, 2016. "Sizing for fuel cell/supercapacitor hybrid vehicles based on stochastic driving cycles," Applied Energy, Elsevier, vol. 183(C), pages 645-658.
    4. Donateo, Teresa & Ficarella, Antonio & Spedicato, Luigi & Arista, Alessandro & Ferraro, Marco, 2017. "A new approach to calculating endurance in electric flight and comparing fuel cells and batteries," Applied Energy, Elsevier, vol. 187(C), pages 807-819.
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