) 上海交通大学 机械与动力工程学院,上海 200240
收稿日期:2020-02-16出版日期:2021-10-28发布日期:2021-11-01通讯作者:明新国E-mail:xgming@sjtu.edu.cn作者简介:王瑞昌(1994-),男,河北省邢台市人,硕士生, 主要研究方向为产品研发体系设计.基金资助:国家自然科学基金重点项目(51278299)Energy Management of Parallel Ship Power System Based on Improved Fuzzy Logic Control
WANG Ruichang, CHEN Zhihua, MING Xinguo() School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Received:2020-02-16Online:2021-10-28Published:2021-11-01Contact:MING Xinguo E-mail:xgming@sjtu.edu.cn摘要/Abstract
摘要： 为缓解船舶运输带来的环境污染,针对以柴油机为主要推进装置的并联式混合动力系统,提出了基于改进模糊逻辑控制的并联式船舶动力系统能量管理策略.在模糊逻辑控制策略的基础上,以需求功率与实际输出总功率的差值作为修正项,将该修正项与实际需求功率之和作为模糊逻辑控制的输入,通过更改激发的模糊规则,对柴油机输出功率和电池组的输出功率进行重新分配,使得输出总功率与实际需求功率的误差减小.这种方法可以对不同的航行工况简便快捷地做出能量管理决策,为大功率船舶动力系统的能量管理提供新的解决方案.
关键词: 船舶动力系统, 模糊逻辑控制, 能量管理, 模糊规则
Abstract: In order to alleviate the environmental pollution caused by ship transportation, an energy management strategy of parallel ship power system based on improved fuzzy logic control is proposed for the parallel hybrid power system with diesel engines as the main propulsion device. Based on the fuzzy logic control strategy, the error between required power and output power is used as a modification item and the sum of modification item, and demand power is taken as the input of the fuzzy logic control. By changing the fuzzy rules of excitation, the output power of the diesel engine and the output power of the battery pack are redistributed, so that the error between the total output power and the actual demand power is reduced. Energy management decisions can be made easily and quickly under different conditions by using this method which provides a new solution for energy management of high-power ship power systems.
Key words: marine power system, fuzzy logic control, energy management, fuzzy rules
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