重庆理工大学学报2026，Vol.40Issue(3)：19-27,9.DOI:10.3969/j.issn.1674-8425(z).2026.02.003
多模态多目标优化算法的混合动力系统能量管理控制
Energy management control of hybrid power system based on multimodal multi-objective optimization algorithm
摘要
Abstract
To optimize the energy management for parallel hybrid electric vehicles,this paper proposes a multimodal multi-objective particle swarm optimization algorithm based on a special crowding distance(SCD),named MO-Ring-PSO-SCD.It simultaneously optimizes the energy control strategy and powertrain parameters,with fuel economy,ride comfort,and dynamic performance as the optimization objectives despite the constraints such as battery state-of-charge balance.Results demonstrate the algorithm outperforms the conventional MPSO,improving fuel economy by 13.46%,ride comfort by 11.71%,and dynamic performance by 12.74%.Compared with MPSO,it further enhances fuel economy and ride comfort by 1.16%and 0.63%while dynamic performance decreases slightly by 3.03%.Nevertheless,the obtained Pareto solution set exhibits superior distribution breadth,quantity,and uniformity.By enhancing solution diversity and incorporating multimodal characteristics,the algorithm may provide more comprehensive trade-off options for energy management strategies,markedly improving the optimizability of the decision space.关键词
混合动力/能量管理/多模态/多目标优化/仿真Key words
hybrid power/energy management/multimodal/multi objective optimization/simulation分类
交通工程引用本文复制引用
蒋兰,芮国强,邓江川,邓涛,李彦波,韩振宇,陈梓山..多模态多目标优化算法的混合动力系统能量管理控制[J].重庆理工大学学报,2026,40(3):19-27,9.基金项目
国家自然科学基金项目(52275051) （52275051）
重庆市教育委员会科学技术研究重大项目(KJZD-M202400703) （KJZD-M202400703）
重庆交通大学自然科学类揭榜挂帅项目(XJ2023000701) （XJ2023000701）
重庆市研究生导师团队建设项目(JDDSTD2022007) （JDDSTD2022007）
重庆市研究生联合培养基地建设项目(JDLHPYJD2022001,JDLHPYJD2023002) （JDLHPYJD2022001,JDLHPYJD2023002）
重庆交通大学研究生科研创新项目(2024S0086) （2024S0086）
