Development of an Intelligent Energy Management System for PEMFC-Battery-Supercapacitor Hybrid Unmanned Aerial Vehicles

Mohammad N. Alzyod*, Ali T. Al-Awami

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Unmanned Aerial Vehicles (UAVs) have witnessed significant growth and demand across various applications in recent years. Battery-powered UAVs, however, face challenges due to limited endurance, necessitating exploration of alternative energy sources. This research introduces an innovative Hybrid Power Supply System that integrates fuel cells, batteries, and supercapacitors to enhance energy management. A novel Energy Management Strategy optimizes resource utilization, allowing these components to seamlessly coordinate and deliver power. Simulations demonstrate the strategy's efficacy, revealing how it reduces State of Charge deviation in the battery, ensuring stable power delivery. The strategy successfully reduces hydrogen consumption, fostering economical and technical benefits. This work aims to advance energy-efficient UAV operations across diverse mission profiles.

Original languageEnglish
Title of host publication2023 Saudi Arabia Smart Grid, SASG 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350384833
DOIs
StatePublished - 2023
Event2023 Saudi Arabia Smart Grid, SASG 2023 - Riyadh, Saudi Arabia
Duration: 18 Dec 202320 Dec 2023

Publication series

Name2023 Saudi Arabia Smart Grid, SASG 2023

Conference

Conference2023 Saudi Arabia Smart Grid, SASG 2023
Country/TerritorySaudi Arabia
CityRiyadh
Period18/12/2320/12/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Energy management
  • UAV
  • battery
  • drone
  • frequency separation
  • fuel cell
  • hydrogen consumption minimization
  • supercapacitor

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Control and Optimization

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