@inproceedings{bebc2959ad4143e5b7922938170e4477,
title = "An H2-consumption-minimization-based energy management strategy of hybrid fuel cell/battery power system for UAVs",
abstract = "In this paper, an energy management strategy (EMS) based on dynamic programming (DP) is proposed for fuel cell/battery hybrid power system of electric unmanned aerial vehicles (UAVs). The proposed EMS can obtain the global optimal solution while reducing the stress of the fuel cell. An EMS with 10 submodes based on finite state machine (FSM) is designed simultaneously for comparative analysis. The strategies mentioned above are implemented in MATLAB, and the results show that the DP method can reduce hydrogen consumption by 4.42% compared with FSM.",
keywords = "DP, EMS, FSM, Hybrid power system, UAV",
author = "Chongyang Tian and Yigeng Huangfu and Sheng Quan and Peng Li and Yonghui Zhang and Jun Zhao",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 1st IEEE International Power Electronics and Application Symposium, PEAS 2021 ; Conference date: 12-11-2021 Through 15-11-2021",
year = "2021",
doi = "10.1109/PEAS53589.2021.9628651",
language = "英语",
series = "PEAS 2021 - 2021 IEEE 1st International Power Electronics and Application Symposium, Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "PEAS 2021 - 2021 IEEE 1st International Power Electronics and Application Symposium, Conference Proceedings",
}