基于灰色关联的电动汽车传动系统速比多目标优化

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中图分类号：U469.72 文献标志码：B 文章编号：1671-5276（2025）03-0276-05

Abstract：Acording totheautomotivetheory，themotor，batteryandtransmisionsystemparametersarecalculated，the simulationanalysismodelisestablishedbasedonSightand Cruise，thesingle-objectiveoptimizationof thetransmissionsystem spedratioisperformedbythemulti-islandgeneticalgorithm，andtheweightcoeficientofeachsingletargetinthemultiobjectiveoptimizatoniscalculatedbythegracoelationmethd.ThmultibjectiveoptimiationofteNSGA-Ialgoriis applied to compare with the multi objective optimization metod of the empirical weight coeficient.The results show that the maximum climbing degree of the optimization method based on grey correlation is decreased by 4.36% ，the energy consumption of 100 kilometers is decreased by 2.33% ，and the overalloptimization effect is better than that of the multi-objective optimization method based on empirical determination of weight coefficient.

Keywords：electricvehicles；speedratioof powersystem；greycorelation；multi-objectiveoptimization;geneticalgorithm

0 引言

电动汽车能够显著提升能量转化效率，但是电动汽车动力电机输出的动力通过传动系统传递到车轮，动力系统的匹配设计与优化分析对其动力性和经济性有较大影响[2-3]

在对纯电动汽车动力系统进行优化的时候，一般考虑最大爬坡度、加速时间、最高车速、百公里电耗中的一个或者多个指标作为目标进行优化[4-6]。（剩余5673字）