Drone Delivery Systems and Energy Management: A Review and Future Trends
Mohammad Sadra Rajabi (),
Pedram Beigi () and
Sina Aghakhani ()
Additional contact information
Mohammad Sadra Rajabi: University of Tehran
Pedram Beigi: Sharif University of Technology
Sina Aghakhani: Sharif University of Technology
A chapter in Handbook of Smart Energy Systems, 2023, pp 1273-1291 from Springer
Abstract:
Abstract Advanced technological breakthroughs and exceptional levels of innovation are enhancing the capabilities and potential of autonomous unmanned aerial vehicles (UAVs or drones), and in so doing attracting the interest of a broader swath of logistic companies, online retailers, and governmental agencies. These technology advancements and their impact on regulatory agencies may soon pave the way for the widespread use of drones for delivery and monitoring purposes. Moreover, increasingly urgent environmental factors that include CO2 emissions reductions and other energy-saving approaches are intensifying to need to reduce vehicular usage and congestion, which could further spur their usage. To optimize these systems, drones often employ a hybrid power supply system architecture to boost endurance and performance. Fuel cells, batteries, solar cells, and supercapacitors are examples of power sources that may be combined in a hybrid power architecture. To enable today’s drones (and those of the future) to work efficiently, the appropriate energy management system must be selected based on optimal and accurate modeling techniques. This chapter provides a comprehensive review of drone energy-supply management and strategic systems to identify their plusses and minuses, as well as suggests recommendations for future research.
Keywords: Unmanned aerial vehicles; Energy consumption of UAVs; Energy management; Drone delivery (search for similar items in EconPapers)
Date: 2023
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:sprchp:978-3-030-97940-9_196
Ordering information: This item can be ordered from
http://www.springer.com/9783030979409
DOI: 10.1007/978-3-030-97940-9_196
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().