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2024 | OriginalPaper | Buchkapitel

Energy Saving of a Drone Using a Hydrogen Cell Battery, Modeling, and Optimization

verfasst von : Dimitrios A. Arvanitidis, Dimitrios K. Nasiopoulos, Dimitrios M. Mastrakoulis, Panagiotis Reklitis

Erschienen in: Computational and Strategic Business Modelling

Verlag: Springer International Publishing

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Abstract

The global drone market is growing every year. The number of applications is increasing from search, rescue, security, and surveillance to science, research, and unmanned cargo systems. A limiting factor for drone operation is that for energy storage, a battery is usually used and consequently the duration of the flight is affected. However, there is still a very big problem, as the autonomy of the batteries used is very short. There are many studies being done to increase the system’s energy and most particularly to determine when it is most appropriate, in terms of system mass, to use a battery or hybrid system (lithium battery and fuel cell battery) to power the drone.

This research work studies the problem, aiming to bring an improvement in the process with the use of modeling and simulation.

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Titel: Energy Saving of a Drone Using a Hydrogen Cell Battery, Modeling, and Optimization
verfasst von: Dimitrios A. Arvanitidis
Dimitrios K. Nasiopoulos
Dimitrios M. Mastrakoulis
Panagiotis Reklitis
Verlag: Springer International Publishing
Buch: Computational and Strategic Business Modelling
Print ISBN: 978-3-031-41370-4

Electronic ISBN: 978-3-031-41371-1

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-031-41371-1_16

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