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计及制造成本的纯电动工程机械动力总成优化设计OA

Optimization design method for electric construction machinery powertrains considering manufacturing cost

中文摘要英文摘要

为提高电动工程机械的动力性和经济性,加快工程机械电气化,降低非道路移动源的碳排放,提出了一种计及制造成本的电动工程机械动力总成优化设计方法.以纯电动轮式装载机为案例,采用模糊TOPSIS法进行考虑广义成本的动力总成优化部件选择,使用改进的多目标水母搜索算法,以特定客户需求工况运行成本、动力性能及狭义制造成本为目标,对选定的部件参数进行优化;建立Matlab/Simulink仿真模型对优化结果进行验证.结果表明,改进后的水母算法具有一定的优越性,在特定客户需求工况下电机工作效率提升了0.214%、0.190%、0.150%,最高车速加速时间分别减少1.798、2.231、1.006 s,制造成本降低了3.129%、5.043%、3.946%,有效提高了电动工程机械的动力性和经济性.

To improve the operational performance of electric construction machinery,accelerate industry electrification,and reduce carbon emissions from non-road mobile equipment,a powertrain optimization design method considering manufacturing cost is proposed.The pure electric wheel loader is selected as the research object,and suitable components are first identified using the fuzzy TOPSIS method.Then,operating costs under customer demand conditions,power performance under loader turnaround conditions,and narrowly defined manufacturing costs are simultaneously optimized using an improved multi-objective Jellyfish search algorithm.Finally,the proposed method is verified on a Matlab/Simulink platform.Results show that the improved algorithm outperforms benchmark approaches.Motor efficiency increases by 0.214%,0.190%,and 0.150%under different working conditions;the acceleration time from 0 to maximum speed is decreased by1.798 s,2.231 s,and 1.006 s;and manufacturing cost is reduced by 3.129%,5.043%,and 3.946%.Overall,both power performance and operational comfort are significantly enhanced.

黄淇;黄潇辉;曹华军;曾浩;鄢万斌

重庆大学机械与运载工程学院 重庆 400044重庆大学机械传动国家重点实验室,重庆 400044重庆大学机械与运载工程学院 重庆 400044重庆大学机械传动国家重点实验室,重庆 400044重庆大学机械与运载工程学院 重庆 400044

机械制造

电动工程机械动力总成制造成本水母搜索算法参数优化

electric construction machinerypowertrainmanufacturing costJellyfish search algorithmparameter optimization

《重庆大学学报》 2026 (1)

1-16,16

柳州市科技计划项目(2021AAB0101)国家重点研发计划项目(2020YFE0201000).Supported by Liuzhou City Science and Technology Planning Project(2021AAB0101),and China Key Research and Development Program(2020YFE0201000).

10.11835/j.issn.1000-582X.2025.205

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