A Hybrid Electric UAV Energy Management Strategy Based on PSO and Virtual Inductor

Xiaopeng Wang; Shengzhao Pang; Bo Cheng; Zhaoyong Mao; Xiao Li; Yigeng Huangfu

doi:10.1109/IECON51785.2023.10312680

A Hybrid Electric UAV Energy Management Strategy Based on PSO and Virtual Inductor

Xiaopeng Wang, Shengzhao Pang, Bo Cheng, Zhaoyong Mao, Xiao Li, Yigeng Huangfu

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

Abstract

In this paper, a real-time Energy Management Strategy (EMS) based on Particle Swarm Optimization (PSO) and virtual inductor is proposed for hybrid electric Unmanned Aerial Vehicle (UAV) powered by fuel cells and lithium batteries. For comparative analysis, EMS-based Finite-State Machine (FSM) and Dynamic Programming (DP) are also designed in this paper. Though simulating on MATLAB, the results demonstrate that the proposed EMS can effectively reduce the hydrogen consumption of the system, thereby improving fuel economy. Additionally, the EMS smooths the output power of the fuel cell with the aid of the virtual inductor.

Original language	English
Title of host publication	IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE Computer Society
ISBN (Electronic)	9798350331820
DOIs	https://doi.org/10.1109/IECON51785.2023.10312680
State	Published - 2023
Event	49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 - Singapore, Singapore Duration: 16 Oct 2023 → 19 Oct 2023

Publication series

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

Conference

Conference	49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023
Country/Territory	Singapore
City	Singapore
Period	16/10/23 → 19/10/23

Keywords

energy management strategy
fuel cell
hybrid electric system
Particle swarm optimization
UAV
virtual inductor

Access to Document

10.1109/IECON51785.2023.10312680

Cite this

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title = "A Hybrid Electric UAV Energy Management Strategy Based on PSO and Virtual Inductor",

abstract = "In this paper, a real-time Energy Management Strategy (EMS) based on Particle Swarm Optimization (PSO) and virtual inductor is proposed for hybrid electric Unmanned Aerial Vehicle (UAV) powered by fuel cells and lithium batteries. For comparative analysis, EMS-based Finite-State Machine (FSM) and Dynamic Programming (DP) are also designed in this paper. Though simulating on MATLAB, the results demonstrate that the proposed EMS can effectively reduce the hydrogen consumption of the system, thereby improving fuel economy. Additionally, the EMS smooths the output power of the fuel cell with the aid of the virtual inductor.",

keywords = "energy management strategy, fuel cell, hybrid electric system, Particle swarm optimization, UAV, virtual inductor",

author = "Xiaopeng Wang and Shengzhao Pang and Bo Cheng and Zhaoyong Mao and Xiao Li and Yigeng Huangfu",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 ; Conference date: 16-10-2023 Through 19-10-2023",

year = "2023",

doi = "10.1109/IECON51785.2023.10312680",

language = "英语",

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

publisher = "IEEE Computer Society",

booktitle = "IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society",

}

Wang, X, Pang, S, Cheng, B, Mao, Z, Li, X & Huangfu, Y 2023, A Hybrid Electric UAV Energy Management Strategy Based on PSO and Virtual Inductor. in IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society. IECON Proceedings (Industrial Electronics Conference), IEEE Computer Society, 49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023, Singapore, Singapore, 16/10/23. https://doi.org/10.1109/IECON51785.2023.10312680

A Hybrid Electric UAV Energy Management Strategy Based on PSO and Virtual Inductor. / Wang, Xiaopeng; Pang, Shengzhao; Cheng, Bo et al.
IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society, 2023. (IECON Proceedings (Industrial Electronics Conference)).

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

TY - GEN

T1 - A Hybrid Electric UAV Energy Management Strategy Based on PSO and Virtual Inductor

AU - Wang, Xiaopeng

AU - Pang, Shengzhao

AU - Cheng, Bo

AU - Mao, Zhaoyong

AU - Li, Xiao

AU - Huangfu, Yigeng

PY - 2023

Y1 - 2023

N2 - In this paper, a real-time Energy Management Strategy (EMS) based on Particle Swarm Optimization (PSO) and virtual inductor is proposed for hybrid electric Unmanned Aerial Vehicle (UAV) powered by fuel cells and lithium batteries. For comparative analysis, EMS-based Finite-State Machine (FSM) and Dynamic Programming (DP) are also designed in this paper. Though simulating on MATLAB, the results demonstrate that the proposed EMS can effectively reduce the hydrogen consumption of the system, thereby improving fuel economy. Additionally, the EMS smooths the output power of the fuel cell with the aid of the virtual inductor.

AB - In this paper, a real-time Energy Management Strategy (EMS) based on Particle Swarm Optimization (PSO) and virtual inductor is proposed for hybrid electric Unmanned Aerial Vehicle (UAV) powered by fuel cells and lithium batteries. For comparative analysis, EMS-based Finite-State Machine (FSM) and Dynamic Programming (DP) are also designed in this paper. Though simulating on MATLAB, the results demonstrate that the proposed EMS can effectively reduce the hydrogen consumption of the system, thereby improving fuel economy. Additionally, the EMS smooths the output power of the fuel cell with the aid of the virtual inductor.

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KW - fuel cell

KW - hybrid electric system

KW - Particle swarm optimization

KW - UAV

KW - virtual inductor

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M3 - 会议稿件

AN - SCOPUS:85179518570

T3 - IECON Proceedings (Industrial Electronics Conference)

BT - IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society

PB - IEEE Computer Society

T2 - 49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

Y2 - 16 October 2023 through 19 October 2023

ER -

A Hybrid Electric UAV Energy Management Strategy Based on PSO and Virtual Inductor

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Keywords

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