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A Hybrid Electric UAV Energy Management Strategy Based on PSO and Virtual Inductor

  • Northwestern Polytechnical University Xian
  • Xi'an Jiaotong University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this paper, a real-time Energy Management Strategy (EMS) based on Particle Swarm Optimization (PSO) and virtual inductor is proposed for hybrid electric Unmanned Aerial Vehicle (UAV) powered by fuel cells and lithium batteries. For comparative analysis, EMS-based Finite-State Machine (FSM) and Dynamic Programming (DP) are also designed in this paper. Though simulating on MATLAB, the results demonstrate that the proposed EMS can effectively reduce the hydrogen consumption of the system, thereby improving fuel economy. Additionally, the EMS smooths the output power of the fuel cell with the aid of the virtual inductor.

源语言英语
主期刊名IECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society
出版商IEEE Computer Society
ISBN(电子版)9798350331820
DOI
出版状态已出版 - 2023
活动49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 - Singapore, 新加坡
期限: 16 10月 202319 10月 2023

丛书

姓名IECON Proceedings (Industrial Electronics Conference)
ISSN(印刷版)2162-4704
ISSN(电子版)2577-1647

会议

会议49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023
国家/地区新加坡
Singapore
时期16/10/2319/10/23

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