@inproceedings{3709007b787c42fe874386041e2b4e50,
title = "An Energy Management Strategy of More-Electric Aircraft Based on Fuzzy Neural Network Trained by Dynamic Programming",
abstract = "Energy Management Strategy (EMS) is a crucial part of More-Electric Aircraft (MEA) and aims at improving the efficiency of whole hybrid energy system. In this paper, fuzzy neural network trained by dynamic programming (FNDP) is proposed to solve the problem that dynamic programming (DP) cannot be used online. FNDP can obtain the optimal distribution scheme using DP and extract the rule from the data through fuzzy neural network (FNN). Compared to fuzzy control strategy based on power follow (PFF) in two different load profiles, it can be found that FNDP can attain a satisfied rule without manual setting and have a better performance than PFF.",
keywords = "Dynamic Programming, Fuzzy Neural Network, Hybrid Energy Vehicle, Power follow",
author = "Yigeng Huangfu and Wenzhuo Shi and Liangcai Xu and Zelong Zhang and Zijun Ren and Shengrong Zhuo",
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/IECON48115.2021.9589360",
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",
}