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。

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”.