Equivalent Consumption Minimization Strategy for UAV Hybrid Energy System Considering Fuel Cell Fault

Shengzhao Pang; Siyu Zhao; Bo Cheng; Yuhui Ma; Yigeng Huangfu; Zhaoyong Mao

doi:10.1109/IAS55788.2024.11023716

Equivalent Consumption Minimization Strategy for UAV Hybrid Energy System Considering Fuel Cell Fault

Shengzhao Pang, Siyu Zhao, Bo Cheng, Yuhui Ma, Yigeng Huangfu, Zhaoyong Mao

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

Abstract

Fuel cell Unmanned Aerial Vehicle (UAV) has become a key area of research for the next generation of the UAV. This paper proposes a multi-port converter and multiconverter architecture for the distributed hybrid UAV energy system. To improve the overall efficiency and reliability of the system, an Equivalent Consumption Minimization Strategy (ECMS) which combines real-time performance with instantaneous optimization while considering the single source fault is proposed. The results show that the proposed ECMS algorithm improves the efficiency of the power-track energy management strategy system by 4.62% and has capable of handling single fuel cell failure conditions.

Original language	English
Title of host publication	2024 IEEE Industry Applications Society Annual Meeting, IAS 2024
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350372717
DOIs	https://doi.org/10.1109/IAS55788.2024.11023716
State	Published - 2024
Event	2024 IEEE Industry Applications Society Annual Meeting, IAS 2024 - Phoenix, United States Duration: 20 Oct 2024 → 24 Oct 2024

Publication series

Name	Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)
ISSN (Print)	0197-2618

Conference

Conference	2024 IEEE Industry Applications Society Annual Meeting, IAS 2024
Country/Territory	United States
City	Phoenix
Period	20/10/24 → 24/10/24

Keywords

Energy Management Strategy
Equivalent Consumption Minimization Strategy
Hybrid Energy System
Source Fault
Unmanned Aerial Vehicle

Access to Document

10.1109/IAS55788.2024.11023716

Cite this

Pang, S., Zhao, S., Cheng, B., Ma, Y., Huangfu, Y., & Mao, Z. (2024). Equivalent Consumption Minimization Strategy for UAV Hybrid Energy System Considering Fuel Cell Fault. In 2024 IEEE Industry Applications Society Annual Meeting, IAS 2024 (Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IAS55788.2024.11023716

@inproceedings{7bee560af98d44a4b40aa4b3897f26ef,

title = "Equivalent Consumption Minimization Strategy for UAV Hybrid Energy System Considering Fuel Cell Fault",

abstract = "Fuel cell Unmanned Aerial Vehicle (UAV) has become a key area of research for the next generation of the UAV. This paper proposes a multi-port converter and multiconverter architecture for the distributed hybrid UAV energy system. To improve the overall efficiency and reliability of the system, an Equivalent Consumption Minimization Strategy (ECMS) which combines real-time performance with instantaneous optimization while considering the single source fault is proposed. The results show that the proposed ECMS algorithm improves the efficiency of the power-track energy management strategy system by 4.62\% and has capable of handling single fuel cell failure conditions.",

keywords = "Energy Management Strategy, Equivalent Consumption Minimization Strategy, Hybrid Energy System, Source Fault, Unmanned Aerial Vehicle",

author = "Shengzhao Pang and Siyu Zhao and Bo Cheng and Yuhui Ma and Yigeng Huangfu and Zhaoyong Mao",

note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE Industry Applications Society Annual Meeting, IAS 2024 ; Conference date: 20-10-2024 Through 24-10-2024",

year = "2024",

doi = "10.1109/IAS55788.2024.11023716",

language = "英语",

series = "Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2024 IEEE Industry Applications Society Annual Meeting, IAS 2024",

}

Pang, S, Zhao, S, Cheng, B, Ma, Y, Huangfu, Y & Mao, Z 2024, Equivalent Consumption Minimization Strategy for UAV Hybrid Energy System Considering Fuel Cell Fault. in 2024 IEEE Industry Applications Society Annual Meeting, IAS 2024. Conference Record - IAS Annual Meeting (IEEE Industry Applications Society), Institute of Electrical and Electronics Engineers Inc., 2024 IEEE Industry Applications Society Annual Meeting, IAS 2024, Phoenix, United States, 20/10/24. https://doi.org/10.1109/IAS55788.2024.11023716

Equivalent Consumption Minimization Strategy for UAV Hybrid Energy System Considering Fuel Cell Fault. / Pang, Shengzhao; Zhao, Siyu; Cheng, Bo et al.
2024 IEEE Industry Applications Society Annual Meeting, IAS 2024. Institute of Electrical and Electronics Engineers Inc., 2024. (Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)).

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

TY - GEN

T1 - Equivalent Consumption Minimization Strategy for UAV Hybrid Energy System Considering Fuel Cell Fault

AU - Pang, Shengzhao

AU - Zhao, Siyu

AU - Cheng, Bo

AU - Ma, Yuhui

AU - Huangfu, Yigeng

AU - Mao, Zhaoyong

PY - 2024

Y1 - 2024

N2 - Fuel cell Unmanned Aerial Vehicle (UAV) has become a key area of research for the next generation of the UAV. This paper proposes a multi-port converter and multiconverter architecture for the distributed hybrid UAV energy system. To improve the overall efficiency and reliability of the system, an Equivalent Consumption Minimization Strategy (ECMS) which combines real-time performance with instantaneous optimization while considering the single source fault is proposed. The results show that the proposed ECMS algorithm improves the efficiency of the power-track energy management strategy system by 4.62% and has capable of handling single fuel cell failure conditions.

AB - Fuel cell Unmanned Aerial Vehicle (UAV) has become a key area of research for the next generation of the UAV. This paper proposes a multi-port converter and multiconverter architecture for the distributed hybrid UAV energy system. To improve the overall efficiency and reliability of the system, an Equivalent Consumption Minimization Strategy (ECMS) which combines real-time performance with instantaneous optimization while considering the single source fault is proposed. The results show that the proposed ECMS algorithm improves the efficiency of the power-track energy management strategy system by 4.62% and has capable of handling single fuel cell failure conditions.

KW - Energy Management Strategy

KW - Equivalent Consumption Minimization Strategy

KW - Hybrid Energy System

KW - Source Fault

KW - Unmanned Aerial Vehicle

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U2 - 10.1109/IAS55788.2024.11023716

DO - 10.1109/IAS55788.2024.11023716

M3 - 会议稿件

AN - SCOPUS:105008644020

T3 - Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)

BT - 2024 IEEE Industry Applications Society Annual Meeting, IAS 2024

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2024 IEEE Industry Applications Society Annual Meeting, IAS 2024

Y2 - 20 October 2024 through 24 October 2024

ER -

Pang S, Zhao S, Cheng B, Ma Y, Huangfu Y , Mao Z. Equivalent Consumption Minimization Strategy for UAV Hybrid Energy System Considering Fuel Cell Fault. In 2024 IEEE Industry Applications Society Annual Meeting, IAS 2024. Institute of Electrical and Electronics Engineers Inc. 2024. (Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)). doi: 10.1109/IAS55788.2024.11023716

Equivalent Consumption Minimization Strategy for UAV Hybrid Energy System Considering Fuel Cell Fault

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