摘要
This paper presents a dynamic model of a dual-motor vessel powered by an integrated energy system consisting of a supercapacitor (SC) and lithium battery. The SC manages high-power demands, reducing the load on the lithium battery to enhance its lifespan and improve overall system efficiency. MATLAB/Simulink was used to simulate this model, integrating energy sources, transmission systems, traction motors, propellers, and vessel body dynamics. A rule-based control strategy (RBCS) with specific operational modes—Supercapacitor Mode, Hybrid Mode I, Hybrid Mode II, and Hybrid Mode III—was developed to effectively manage energy distribution, improving energy flow and extending battery life, which lowers maintenance costs and enhances performance. Additionally, a fuzzy control method was implemented and compared to RBCS. Results indicate that fuzzy control improves velocity stabilization by 3.8% between 750 and 1200 seconds, and reduces energy consumption by approximately 5.7% compared to RBCS, highlighting its potential for greater efficiency and control in vessel propulsion energy management.
| 原文 | 英語 |
|---|---|
| 主出版物標題 | RASSE 2024 - 2024 IEEE International Conference on Recent Advances in Systems Science and Engineering, Proceedings |
| 發行者 | Institute of Electrical and Electronics Engineers Inc. |
| ISBN(電子) | 9798331528263 |
| DOIs | |
| 出版狀態 | 已發佈 - 2024 |
| 事件 | 4th IEEE International Conference on Recent Advances in Systems Science and Engineering, RASSE 2024 - Taichung, 臺灣 持續時間: 2024 11月 6 → 2024 11月 8 |
出版系列
| 名字 | RASSE 2024 - 2024 IEEE International Conference on Recent Advances in Systems Science and Engineering, Proceedings |
|---|
會議
| 會議 | 4th IEEE International Conference on Recent Advances in Systems Science and Engineering, RASSE 2024 |
|---|---|
| 國家/地區 | 臺灣 |
| 城市 | Taichung |
| 期間 | 2024/11/06 → 2024/11/08 |
UN SDG
此研究成果有助於以下永續發展目標
-
SDG 7 可負擔的潔淨能源
ASJC Scopus subject areas
- 控制和優化
- 人機介面
- 能源工程與電力技術
- 控制與系統工程
- 人工智慧
- 電腦視覺和模式識別
指紋
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