海洋工程装备与技术

海洋工程装备与技术 ›› 2026, Vol. 13 ›› Issue (1): 24-33.doi: 10.12087/oeet.2095-7297.2026.01.04

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基于优化规则的柴电混合动力系统能量管理策略

陈鹏飞1，2，王壮1，3，陈俐1，2*   

  1. 1. 上海交通大学 海洋工程国家重点实验室，上海 200240；2. 上海交通大学 船舶海洋与建筑工程学院 海洋智能实验室，上海 200240；3. 上海交通大学 海南研究院，海南 三亚 572000
  • 出版日期:2026-03-20 发布日期:2026-03-20
  • 通讯作者: 陈俐 E-mail:li.h.chen@sjtu.edu.cn
  • 作者简介:陈鹏飞（2001—），硕士研究生，主要从事船舶能量管理策略方向的研究。
  • 基金资助:
    工信部高技术船舶科研项目“极地小型邮轮设计建造关键技术研究” （MC-201918-C10）；国家自然科学基金（52471334）。

Energy Management Strategy of Diesel-Electric Hybrid Power System Based on Rule Optimization

CHEN Pengfei1，2， WANG Zhuang1，3， CHEN Li1，2*   

  1. 1. State Key Laboratory of Ocean Engineering， Shanghai Jiao Tong University， Shanghai 200240， China; 2. Ocean Intelligence Laboratory， School of Ocean and Civil Engineering，Shanghai Jiao Tong University， Shanghai 200240， China; 3. Shanghai Jiao Tong University Hainan Research Institute， Sanya 572000， Hainan， China
  • Online:2026-03-20 Published:2026-03-20
  • Contact: CHEN Li E-mail:li.h.chen@sjtu.edu.cn

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摘要： 为降低船舶油耗、提升柴电混合动力系统能效，提出基于优化规则的能量管理策略。基于反向能量流建立柴电混合动力系统模型，设计基于规则的能量管理策略。以最小化油耗为优化目标，采用遗传算法优化基于规则策略的阈值。某南极航线极地小型邮轮的仿真结果表明，所提方法相较于未优化的能量管理策略，油耗降低了3.13%。通过合理设置基于规则的能量管理策略中的阈值能够有效控制柴油机的油耗，而通过增加电池“削峰填谷”能力则能实现油耗减少。

关键词: 能量管理策略, 柴电混合动力系统, 优化

Abstract: To reduce ship fuel consumption， an optimized rule-based energy management strategy is proposed to improve the energy efficiency of diesel-electric hybrid power system. The model of the diesel-electric hybrid power system is established based on reverse energy flow， and a rule-based energy management strategy is designed. With the goal of minimizing fuel consumption， a genetic algorithm is employed to optimize the threshold parameters of the rule-based strategy. Case study results of a small polar cruise ship on an Antarctic route show that the proposed method reduces fuel consumption by 3.13% compared to the non-optimized energy management strategy. By appropriately setting the threshold parameters in the rule-based energy management strategy， the fuel consumption of diesel engines can be effectively controlled. The reduction in fuel consumption is achieved by enhancing the battery's ability to “peaks shaving and valley filling”.

Key words: energy management strategy, diesel-electric hybrid power system, optimization

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