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Technology Research and Experimental Simulation of Energy Management System for Diesel Electric Hybrid Ship

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type 01 Jun 2020Publisher:IEEEJournal:2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC)

Authors: Rui Yang; Lei Jiang;

doi: 10.1109/itoec49072.2020.9141673

Technology Research and Experimental Simulation of Energy Management System for Diesel Electric Hybrid Ship

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Abstract

In this study, the hybrid power system of the diesel, as the main power source, and new energy, as the auxiliary energy is developed. An optimal energy management strategy was proposed for the hybrid ship, aiming to minimize consumption of the fuel. The model of the hybrid power system was established in the MATLAB/SIMULINK simulation environment. The optimal energy management strategy was verified by simulation according to the typical drive cycle of ship compared to original energy management strategy. The simulation results show that the proposed optimization can improve fuel economy while the state of charge of the battery is maintained at reasonable range.

Related Organizations

Transport Research Institute
Romania
China Waterborne Transport Research Institute
China (People's Republic of)
Transport Research Institute
Romania

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	3
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average