多目标约束的重型电动叉车混合电源容量配置优化研究

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关键词：电动叉车混合电源系统整车建模多目标粒子群优化容量配置中图分类号： U462.2∘1 U462.3⋅4 U462.3⋅6 文献标志码：ADOI： 10.20104/j.cnki.1674-6546.20250186

【Abstract]To address theisses of capacity degradation due tohigh currnt impact，low energyutilizationrateand high costassociatedwithtraditionalcapacityconfigurationmethodsinlithium-ionbaterysystemsforheavy-dutyelectricforklifts， this studyproposes acapacityconfiguration methodforsupercapacitor/lithium-ionbattery hybrid power source systembased on multi-objectiveoptimization.Vehicledynamics，electrical characteristicsof the powersystemand powerdistributionare simulatedbyconstructingabackwardsimulationmodelformulti-tonnageforklifts.CoupledwithaMulti-ObjectiveParticle SwarmOptimization（MOPSO）algorithm，thebaterycapacityconfiguration isoptimized tominimize initialcostand batery degradationrate.Thesimulationresultsshow thatthiscapacityconfiguration methodcanadaptivelymatch the sizeof the hybridpowersystem，significantlyreducing theinitialcostof thehybrid powersystem for intermediate tonnage forklifts. Comparedto traditionalpowersystems，theoptimized hybrid powersystemreduces thecurrntpeak byapproximately45%and decreases the lithium-ion battery capacity degradation rate by 16%～26%

KeyWords：Electricforklift，Hybridpowersourcesystem，Vehiclemodeling，Multi-Objective 'article SwarmOptimization （MOPSO），Capacityconfiguration

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叉车广泛应用于港口、码头、仓库及物流中心等场所[-3]。（剩余13149字）