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船舶混合动力系统能量管理预测控制方法研究

范爱龙 李永平 杨强 涂小龙

哈尔滨工程大学学报2024,Vol.45Issue(1):162-173,12.
哈尔滨工程大学学报2024,Vol.45Issue(1):162-173,12.DOI:10.11990/jheu.202201027

船舶混合动力系统能量管理预测控制方法研究

A study of energy management predictive control of ship hybrid power system

范爱龙 1李永平 2杨强 3涂小龙2

作者信息

  • 1. 武汉理工大学 交通与物流工程学院,湖北 武汉 430063||工业和信息化部产业发展促进中心, 北京 100038
  • 2. 武汉理工大学 船海与能源动力工程学院,湖北 武汉 430063
  • 3. 工业和信息化部产业发展促进中心, 北京 100038
  • 折叠

摘要

Abstract

To address the issues of control stability,energy saving and emission reduction in hybrid power systems,the role of model predictive control in ship energy management is clarified,and the current status and trends of the research are analyzed.First,based on CiteSpace,a visual analysis of ship energy management is performed to de-termine the development of ship energy management,and the importance of model prediction control in ship energy management is revealed by comparative analysis of different energy management strategies.Then,the model predic-tive control method of ship energy management is summarised from three aspects:predictive modelling,optimisation goal and constraint and solution and improvement strategies.Furthermore,future research on predictive control of ship energy management is discussed in terms of energy management strategies based on renewable energy sources,standardisation of modelling and validation,synergistic optimisation and multi-dimensional evaluation.The results show that model predictive control has important potential in the real-time control of complex power systems,such as smart and multi-energy ships.Combining other algorithms to perform multi-objective algorithm fusion is an im-portant way to improve control accuracy and computational real-time performance,and conducting multi-dimension-al tests and evaluations is conducive to promoting the application of the strategy to ships.

关键词

混合动力/船舶能效/能量管理/模型预测控制/CiteSpace/可视化分析/预测建模/优化算法

Key words

hybrid power/ship energy efficiency/energy management/model predictive control/CiteSpace/visual analysis/predictive modeling/optimization algorithm

分类

交通工程

引用本文复制引用

范爱龙,李永平,杨强,涂小龙..船舶混合动力系统能量管理预测控制方法研究[J].哈尔滨工程大学学报,2024,45(1):162-173,12.

基金项目

国家自然科学基金项目(51809202). (51809202)

哈尔滨工程大学学报

OA北大核心CSTPCD

1006-7043

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