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논문 기본 정보

자료유형
학술저널
저자정보
SeongWan Kim (Korea Institute of Maritime and Fisheries Technology) HyeonMin Jeon (Korea Maritime & Ocean University) Kyoungkuk Yoon (Korea Maritime & Ocean University)
저널정보
한국마린엔지니어링학회 Journal of Advanced Marine Engineering and Technology (JAMET) 한국마린엔지니어링학회지 제45권 제6호
발행연도
2021.12
수록면
380 - 385 (6page)
DOI
10.5916/jamet.2021.45.6.380

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초록· 키워드

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The current global trends regarding tightened environmental regulations on emissions from ships have motivated the development and usage of electric propulsion systems as alternatives to meet the regulatory changes. Electric propulsion systems have the advantage of being able to utilize various power sources, thereby enabling a grid connection of eco-friendly power sources. However, because the operating characteristics vary depending on the type of power source, the design of an energy management system suitable for the ship’s operating environment is necessary to facilitate optimum control of the energy system. Amongst the various control strategies available, state machines and rule-based controls have been employed extensively in hybrid systems. In addition, the rules have been incorporated into the neural network algorithm to enable the operation of complex systems or under unpredictable circumstances. In this study, the conventional rule-based strategy was simplified, and a neural network was trained with a revised control strategy. The operability of the hybrid system was examined through MATLAB/Simulink simulations. The findings of this study are expected to be of use as an energy management system for batteries and generators, as well as various other eco-friendly power generation systems.

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Abstract
1. Introduction
2. Conventional Rule-Based Strategy Based on Equivalent Consumption Minimization Strategy
3. Proposed Rule-Based Strategy with a Neural Network
4. Conclusion
References

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