基于主成分分析和神經(jīng)網(wǎng)絡(luò)聚類(lèi)的城市坡道行駛工況研究

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主題詞：坡道行駛工況主成分分析SOM神經(jīng)網(wǎng)絡(luò) 聚類(lèi)分析性能測(cè)試中圖分類(lèi)號(hào)：U469.11 文獻(xiàn)標(biāo)志碼：A DOI：10.19620/j.cnki.1000-3703.2024090

Investigation ofUrban Ramp Driving CycleBasedon Principal Component Analysis and Neural Network Clustering

SongYuzhen'，Wu Zhimin’，YinXiaofeng'，LeiYulong2，LiangYiming' （1.Stitute ofAutomotive Enginering，Xihua University，Chengdu 61Oo39;2.NationalKey Laboratoryof Automobile Chassis Integration and Bionics，Jilin University， Changchun ）

【Abstract】Aiming at the issue of lacking slope information in urban driving cyclesused for vehicle performance evaluation，this paper proposes a methodfor Urban Ramp Driving Cycle （URDC）construction basedonSelf-Organizing Map （SOM）neural network.Typicalroaddrivingdata withurbanrampcharacteristicsiscollectedusing theaverage traficflow method.Afterpre-processing，thedataissegmentedintoshorttrips，and2O parametersrepresentingroadoperation characteristicsareselectedasthefeature parametersof theshorttrips.Thedimensionalityof these feature parameters is then reducedviaprincipalcomponentanalysis，followedbyclusteringtheshorttripsanalysisusinga SOMneural network. Accordingtotheprincipleofsmoothrampconnection，short trips with highcorelationareselecedtoconstructanurbanramp drivingcyclethat includesboth speedand slope information.Theresultsof automatictransmisionoperated in slope performancetestindicatethattheconstructeddrivingcyclecanreflectthedrivingcharacteristicsofvehiclesonroadwithurban ramp features，whichcanbeusedasthebenchmark driving cycleforperformance testof vehicledrivingonurbanramps.

Key words： Ramp driving cycle， Principal component analysis， SOM neural network， Cluster analysis，Performancetest

【引用格式】宋宇臻，吳智敏，陰曉峰，等.基于主成分分析和神經(jīng)網(wǎng)絡(luò)聚類(lèi)的城市坡道行駛工況研究[J].汽車(chē)技術(shù)，2025（5）：47-54.SONGYZ，WUZM，YINXF，etal.Investigationof UrbanRampDriving Cycle BasedonPrincipal ComponentAnalysisandNeuralNetwork Clustering[J].Automobile Technology，2025（5）： 47-54.

1前言

目前，國(guó)內(nèi)外車(chē)用性能測(cè)試基準(zhǔn)的行駛工況多采用速度-時(shí)間曲線表達(dá)，由于缺少坡道信息，難以反映車(chē)輛在坡道特征道路上的行駛特性，進(jìn)而影響車(chē)輛坡道行駛性能評(píng)估結(jié)果的準(zhǔn)確性[1-3]。（剩余9319字）