Energy Saving of a Drone Using a Hydrogen Cell Battery, Modeling, and Optimization
Dimitrios A. Arvanitidis (),
Dimitrios K. Nasiopoulos,
Dimitrios M. Mastrakoulis () and
Panagiotis Reklitis
Additional contact information
Dimitrios A. Arvanitidis: University of Peloponnese
Dimitrios K. Nasiopoulos: BICTEVAC LABORATORY Business Information and Communication Technologies in Value Chains laboratory, School of Applied Economics and Social Sciences, Agricultural University of Athens
Dimitrios M. Mastrakoulis: University of Thessaly
Panagiotis Reklitis: Organizational Innovation and Management Systems, School of Applied Economics and Social Sciences, Agricultural University of Athens
A chapter in Computational and Strategic Business Modelling, 2024, pp 175-193 from Springer
Abstract:
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.
Keywords: Hydrogen cells; Drone; Recharge battery; Modeling; Simulation (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-41371-1_16
Ordering information: This item can be ordered from
http://www.springer.com/9783031413711
DOI: 10.1007/978-3-031-41371-1_16
Access Statistics for this chapter
More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().