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Dynamic Modeling and Control of Hybrid Electric Vessels with a Super-Capacitor and a Lithium Battery

  • Chi Chang Huang
  • , Chien Ming Lin
  • , Yu Hsuan Lin
  • , Chan Chiao Lin
  • , Yi Hsuan Hung

研究成果: 書貢獻/報告類型會議論文篇章

1   連結會在新分頁中打開 引文 斯高帕斯(Scopus)

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 62024 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2024/11/062024/11/08

UN SDG

此研究成果有助於以下永續發展目標

  1. SDG 7 - 可負擔的潔淨能源
    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

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