Optimal Sizing Algorithm of Multi Source Hybrid Power System for Unmanned Aerial Vehicle

Fei Cao; Wentao Jiang; Rui Ma; Yang Zhou; Hao Bai; Jiawei Chen

doi:10.1109/IECON58223.2025.11221961

Optimal Sizing Algorithm of Multi Source Hybrid Power System for Unmanned Aerial Vehicle

Fei Cao
, Wentao Jiang
, Rui Ma
, Yang Zhou
, Hao Bai
, Jiawei Chen

School of Automation

Northwestern Polytechnical University Xian
Chongqing University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The hybrid power system has been widely adopted in the unmanned aerial vehicle (UAV) to meet various flight profiles. In this paper, an optimal sizing strategy for fuel cell (FC)-Li-ion battery-supercapacitor (SC) based hybrid power system in the UAV is proposed. The required energy from the FC is optimized based on the optimal efficiency range. In addition, using the frequency-based power split algorithm, a multi-objective function, minimizing the weight and economic cost, for the battery-SC subsystem is constructed. The PSO intelligent optimization algorithm is used to find the optimal sizing for the system. Finally, some simulations have been carried out to verify the correctness of the proposed algorithm.

Original language	English
Title of host publication	IECON 2025 - 51st Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE Computer Society
ISBN (Electronic)	9798331596811
DOIs	https://doi.org/10.1109/IECON58223.2025.11221961
State	Published - 2025
Event	51st Annual Conference of the IEEE Industrial Electronics Society, IECON 2025 - Madrid, Spain Duration: 14 Oct 2025 → 17 Oct 2025

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)
ISSN (Print)	2162-4704
ISSN (Electronic)	2577-1647

Conference

Conference	51st Annual Conference of the IEEE Industrial Electronics Society, IECON 2025
Country/Territory	Spain
City	Madrid
Period	14/10/25 → 17/10/25

Keywords

hybrid power system
optimal sizing
unmanned aerial vehicle

Access to Document

10.1109/IECON58223.2025.11221961

Cite this

@inproceedings{77cf6c33b2244f479fd2c95695de7557,

title = "Optimal Sizing Algorithm of Multi Source Hybrid Power System for Unmanned Aerial Vehicle",

abstract = "The hybrid power system has been widely adopted in the unmanned aerial vehicle (UAV) to meet various flight profiles. In this paper, an optimal sizing strategy for fuel cell (FC)-Li-ion battery-supercapacitor (SC) based hybrid power system in the UAV is proposed. The required energy from the FC is optimized based on the optimal efficiency range. In addition, using the frequency-based power split algorithm, a multi-objective function, minimizing the weight and economic cost, for the battery-SC subsystem is constructed. The PSO intelligent optimization algorithm is used to find the optimal sizing for the system. Finally, some simulations have been carried out to verify the correctness of the proposed algorithm.",

keywords = "hybrid power system, optimal sizing, unmanned aerial vehicle",

author = "Fei Cao and Wentao Jiang and Rui Ma and Yang Zhou and Hao Bai and Jiawei Chen",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 51st Annual Conference of the IEEE Industrial Electronics Society, IECON 2025 ; Conference date: 14-10-2025 Through 17-10-2025",

year = "2025",

doi = "10.1109/IECON58223.2025.11221961",

language = "英语",

series = "IECON Proceedings (Industrial Electronics Conference)",

publisher = "IEEE Computer Society",

booktitle = "IECON 2025 - 51st Annual Conference of the IEEE Industrial Electronics Society",

}

Cao, F, Jiang, W , Ma, R, Zhou, Y, Bai, H & Chen, J 2025, Optimal Sizing Algorithm of Multi Source Hybrid Power System for Unmanned Aerial Vehicle. in IECON 2025 - 51st Annual Conference of the IEEE Industrial Electronics Society. IECON Proceedings (Industrial Electronics Conference), IEEE Computer Society, 51st Annual Conference of the IEEE Industrial Electronics Society, IECON 2025, Madrid, Spain, 14/10/25. https://doi.org/10.1109/IECON58223.2025.11221961

Optimal Sizing Algorithm of Multi Source Hybrid Power System for Unmanned Aerial Vehicle. / Cao, Fei; Jiang, Wentao ; Ma, Rui et al.
IECON 2025 - 51st Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society, 2025. (IECON Proceedings (Industrial Electronics Conference)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Optimal Sizing Algorithm of Multi Source Hybrid Power System for Unmanned Aerial Vehicle

AU - Cao, Fei

AU - Jiang, Wentao

AU - Ma, Rui

AU - Zhou, Yang

AU - Bai, Hao

AU - Chen, Jiawei

PY - 2025

Y1 - 2025

N2 - The hybrid power system has been widely adopted in the unmanned aerial vehicle (UAV) to meet various flight profiles. In this paper, an optimal sizing strategy for fuel cell (FC)-Li-ion battery-supercapacitor (SC) based hybrid power system in the UAV is proposed. The required energy from the FC is optimized based on the optimal efficiency range. In addition, using the frequency-based power split algorithm, a multi-objective function, minimizing the weight and economic cost, for the battery-SC subsystem is constructed. The PSO intelligent optimization algorithm is used to find the optimal sizing for the system. Finally, some simulations have been carried out to verify the correctness of the proposed algorithm.

AB - The hybrid power system has been widely adopted in the unmanned aerial vehicle (UAV) to meet various flight profiles. In this paper, an optimal sizing strategy for fuel cell (FC)-Li-ion battery-supercapacitor (SC) based hybrid power system in the UAV is proposed. The required energy from the FC is optimized based on the optimal efficiency range. In addition, using the frequency-based power split algorithm, a multi-objective function, minimizing the weight and economic cost, for the battery-SC subsystem is constructed. The PSO intelligent optimization algorithm is used to find the optimal sizing for the system. Finally, some simulations have been carried out to verify the correctness of the proposed algorithm.

KW - hybrid power system

KW - optimal sizing

KW - unmanned aerial vehicle

UR - https://www.scopus.com/pages/publications/105024683082

U2 - 10.1109/IECON58223.2025.11221961

DO - 10.1109/IECON58223.2025.11221961

M3 - 会议稿件

AN - SCOPUS:105024683082

T3 - IECON Proceedings (Industrial Electronics Conference)

BT - IECON 2025 - 51st Annual Conference of the IEEE Industrial Electronics Society

PB - IEEE Computer Society

T2 - 51st Annual Conference of the IEEE Industrial Electronics Society, IECON 2025

Y2 - 14 October 2025 through 17 October 2025

ER -

Optimal Sizing Algorithm of Multi Source Hybrid Power System for Unmanned Aerial Vehicle

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