基于混雜模型預測控制的順序實時決策混合動力能量管理策略研究

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中圖分類號：U674.925DOI：10.3969/j.issn.1004-132X.2025.06.026 開放科學（資源服務）標識碼（OSID）：

Research on Hybrid Power Energy Management Strategy Based on Sequential Real-time Decision Making with Hybrid Model Predictive Control

SUN Xiaojun1* LIU Conghao1 ZHANG Qiao1SONG Enzhe2

1.School of Automobile and Traffic Engineering，Liaoning University of Technology，Jinzhou， Liaoning，l21001

2.College of Power and Energy Engineering，Harbin Engineering University，Harbin，150001

Abstract：An optimization strategy and evaluation framework for power distribution in marine hybrid propulsion systems was developed. Experimental data and component characteristics were analyzed，and system identification and clustering algorithms were employed to integrate continuous and discrete variables effectively. A state-space equation was formulated to represent the hybrid characteristics of the propulsion systems.A trade-of performance index function was defined to balance fuel consumption reduction and power performance enhancement. Based on a mixed logical dynamic model，a hybrid model predictive controler（HMPC）was designed to optimize the collaborative operations of natural gas engines， permanent magnet synchronous motors and clutches. Finally，the proposed HMPC was tested in real machine in terms of energy saving and power improvement using test conditions. The results show that the fuel-optimal HMPC saves 2.72% fuel and the power-optimal HMPC improves power performance by 59.72% compared to the HMPC that combines economy and power.

Key words： hybrid power model; energy management； marine hybrid power; system identification；hybrid system

0 引言

在船舶行業(yè)能效法規(guī)日益嚴格與節(jié)能環(huán)保呼聲不斷增強的國際背景下，船用動力新型化、綠色化已成為一種發(fā)展趨勢和研究熱點。（剩余18748字）