@inproceedings{8469f6420f98444b853ab227dbc77ade,
title = "A Fuzzy Logic Control-Based Energy Management Strategy for Fuel Cell/Battery UAV Hybrid Power System",
abstract = "For the fuel cell/battery UAV hybrid power system, an energy management strategy(EMS) based on fuzzy logic control(FLC) is proposed in this paper, which is optimized to reduce the system's hydrogen consumption, maintain the state of charge(SOC) of lithium battery, and stabilize the bus voltage. In order to verify the effectiveness of the EMS, a fuel cell UAV hardware experimental platform is built and a finite state machine(FSM) strategy is designed for comparison. Experimental comparison results verify the effectiveness of the proposed fuzzy logic control strategy in stabilizing the bus voltage, maintaining the SOC of the lithium battery, and improving the system fuel economy.",
keywords = "Fuel cell, UAV, battery, fuzzy logic control, hybrid power system",
author = "Peng Li and Zhaoyong Mao and Shengzhao Pang and Wenzhuo Shi and Sheng Quan 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/IECON51785.2023.10312386",
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",
}