@inproceedings{5f38714f1458477fb424ee4918237551,
title = "Energy System Simulation for Low-Altitude Solar-Powered UAVs",
abstract = "Due to the special energy type of solar aircraft, the endurance capability of the long-haul aircraft type is very prominent. However, the solar vehicle energy system has a significant impact on performance. This paper studies the energy system design optimization and system simulation of low-altitude solar aircraft. Firstly, an optimization method for low-altitude long-endurance UAV energy system is proposed, which fully considers the influence of date and environmental factors on energy harvesting and consumption of solar aircraft. Secondly, according to the energy optimization method, the UAV energy system is optimized, and the simulation results verify the ability and reliability of the UAV{\textquoteright}s continuous long-haul flight.",
keywords = "Energy system, Simulation, Solar-powered, UAV",
author = "Dapeng Zhou and Yang Zhang and Ke Li and Bin Zhao and Meixian Wang and Ning Wang and Lijing Wang",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 22nd International Conference on Man-Machine-Environment System Engineering, MMESE 2022 ; Conference date: 21-10-2022 Through 23-10-2022",
year = "2023",
doi = "10.1007/978-981-19-4786-5\_75",
language = "英语",
isbn = "9789811947858",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "544--551",
editor = "Shengzhao Long and Dhillon, \{Balbir S.\}",
booktitle = "Man-Machine-Environment System Engineering - Proceedings of the 22nd International Conference on MMESE",
address = "德国",
}