为避免新的储能系统单一优化，多维度地提高船舶的性能，提出以复合储能系统能量消耗和质量特性的目标函数，以储能荷电状态、最大充放电功率及最大能量变化等为约束条件，以锂电池和超级电容的串并联个数为决策变量构建一种多目标的容量配置优化模型。采用改进麻雀搜索算法进行模型求解得到Pareto前沿，即帕累托最优解构成的集合（Pareto前沿），在保证系统稳定性的前提下，优化后的配置方案在能量消耗和质量特性2个指标中都取得了一定程度的优化。
To avoid single-dimensional optimization of the new energy storage system and enhance ship performance in multiple aspects, a multi-objective capacity configuration optimization model is proposed. This model uses energy consumption and mass characteristics of the hybrid energy storage system as objective functions, with constraints set on state of charge (SOC), maximum charge/discharge power, and maximum energy variation. The number of series and parallel connections of lithium batteries and supercapacitors are selected as decision variables. The improved Sparrow Search Algorithm is employed to solve the model, obtaining the Pareto front, that is, the set of Pareto optimal solutions, known as the Pareto frontier. Under the premise of ensuring system stability, the optimized configuration scheme achieves improvements in both energy consumption and mass characteristics.
2026,48(2): 130-137 收稿日期：2025-5-15
DOI：10.3404/j.issn.1672-7649.2026.02.021
分类号：U664.14
基金项目：国家重点研发计划资助项目（2019YFE0104600）；国家自然科学基金资助项目（51909200）
作者简介：唐梓杰(2001-),男,硕士研究生,研究方向为混合动力船舶等
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