Modeling and Simulation of Fuel Cell UAV Hybrid Power System

Yuhui Ma, Zhendong Hua, Haifeng Wang, Cong Han, Yigeng Huangfu, Rui Ma

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

1 Scopus citations

Abstract

This paper couples the UAV power demand analysis model with the power supply system model, and builds a complete source-grid-load model of the fuel cell UAV hybrid power system, which can save the research and development cycle and cost. First, the UAV longitudinal kinematics model and propulsion system model are established for the load side, which can be used to convert the UAV flight mission profile into the required power. Second, models for the source side of the fuel cell and lithium battery subsystems are developed. To more accurately predict the power requirement, the fuel cell system model, which also comprises the output characteristic model and the air supply system model, analyzes the power consumption of the air compressor. For the grid side, the large-signal model of converters is used to speed up simulation while maintaining dynamic properties. Finally, the accuracy of the model is verified by Simulink simulation.

Original languageEnglish
Title of host publication2022 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages197-201
Number of pages5
ISBN (Electronic)9781665489577
DOIs
StatePublished - 2022
Event4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022 - Beijing, China
Duration: 9 Dec 202212 Dec 2022

Publication series

Name2022 4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022

Conference

Conference4th International Conference on Smart Power and Internet Energy Systems, SPIES 2022
Country/TerritoryChina
CityBeijing
Period9/12/2212/12/22

Keywords

  • fuel cell
  • hybrid power system
  • lithium battery
  • unmanned aerial vehicle (UAV)

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