@inproceedings{d2167fbccc734d44982a3aeab77c6a00,
title = "An Optimization Energy Management Strategy Based on Dynamic Programming for Fuel Cell UAV",
abstract = "In this paper, the hybrid power system of fuel cell Unmanned Aerial Vehicle (UAV) is established on the platform of Matlab/Simulink whose system architecture is fuel cell with lithium battery, and the overall scheme of the system is designed. In addition, the required power curves under two typical working conditions are obtained by establishing the aircraft dynamics model. An optimization energy management strategy based on dynamic programming is designed to achieve the least hydrogen consumption. For comparison, another two energy management strategies are designed under the same working condition. Finally, it is proved that dynamic programming has optimal fuel economy than the other two strategies. Moreover, each strategy has its own characteristics, which provides suggestions for selection of energy management strategies under different objectives.",
keywords = "Dynamic Programming, EMS, Hybrid UAV modeling, State Machine",
author = "Yigeng Huangfu and Tianying Yu and Shengrong Zhuo and Wenzhuo Shi and Zelong Zhang",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021 ; Conference date: 13-10-2021 Through 16-10-2021",
year = "2021",
month = oct,
day = "13",
doi = "10.1109/IECON48115.2021.9590004",
language = "英语",
series = "IECON Proceedings (Industrial Electronics Conference)",
publisher = "IEEE Computer Society",
booktitle = "IECON 2021 - 47th Annual Conference of the IEEE Industrial Electronics Society",
}