文档名：基于加速度信号的轮胎滚动阻力估计算法
摘要：提出了一种基于智能轮胎的滚动阻力估计算法,利用轮胎加速度信号实现轮胎滚动阻力更高精度的估算.使用ABAQUS软件建立205/55/R16子午线轮胎的稳态滚动阻力模型,通过对不同负载、胎压和车速下滚动阻力的仿真结果分析,验证了有限元模型的一致性.通过提取轮胎内衬中心轴线处的加速度信号,使用Yule-Walker分析法计算加速度信号的功率谱密度.基于汽车行驶参数和轮胎接地离地瞬间的加速度功率谱密度数据,采用偏最小二乘回归法对轮胎的滚动阻力和滚阻系数进行回归预测.结果表明:结合轮胎加速度信号与行驶参数的回归方程拟合效果比单纯使用行驶参数拟合的效果更好,研究结果为开发节能汽车提供了一定的指导作用.
Abstract：Tirerollingresistanceisanimportantfactoraffectingvehiclefueleconomy,whichismainlyduetotheenergylosscausedbythehysteresiseffectofrubbermaterials.Forpassengercarsusingradialtires,about3.4％to6.6％offuelconsumptionisusedtoovercometirerollingresistance,sothetopicofreducingvehiclefuelconsumptionbyreducingtirerollingresistancehasreceivedmoreandmoreattentionfromscholars.Thepurposeofthispaperistoestablishamoreaccurateandeffectivetirerollingresistancepredictionmodelbyusingaccelerationsignalcombinedwithintelligenttiretechnology.Inthispaper,the205/55/R16passengercarradialtireistakenastheresearchobject.Firstly,basedonthecontributionrateofrollingresistance,thestructureoftheradialtireissimplifiedreasonably,andthefiniteelementmodelofthetireisestablishedbyABAQUSfiniteelementsimulationsoftwareandmaterialparameterizationmethod.TheUAMPsubroutinetireisusedtocontroltheangularvelocityofthetiretoobtainthesteady-statefreerollingangularvelocityofthetireandextracttherollingresistancedata.Throughfiniteelementanalysisandcontrolvariablemethod,therollingresistanceoftirefiniteelementmodelundervariableload,vehiclespeedandtirepressureisstudied.Thevalidityofthefiniteelementmodelisverifiedbythestressandstraincharacteristicsoftirejoints.Secondly,theaccelerationdataofthenodesatthecentralaxisofthetireliningundervariouscompoundworkingconditionsareextracted,andtheaccelerationofthenodesisconvertedfromthebodycoordinatesystemtotheaccelerationbodycoordinatesystemusingthecoordinatetransformationmatrix,andthelongitudinal,lateralandverticalaccelerationcurvesareobtained.Comparingtheresponsedegreeofdifferentsignalstorollingresistance,thelongitudinalandverticalaccelerationsignalsareselectedastheobservationsignals.Thegenerationmechanismoftirerollingresistanceisanalyzed.Yule-Walkerfrequencydomainanalysismethodisusedtocalculatethepowerspectraldensityofaccelerationsignals.Therelationshipbetweensignalpowerandfrequencyisestimatedthroughthecorrelationofsignals.Combinedwithtirepressure,vehiclespeedandload,atirerollingresistanceestimationmodelbasedonpartialleastsquaresregressionalgorithmisbuilt.Finally,thefittingeffectofthemodelcanbeapproximatedaccordingtotheestimationresultsofthemodelunder20testconditionsofvariableload,vehiclespeedandtirepressure.Themeansquareerrorofthetirerollingresistanceestimationalgorithmbasedonaccelerationsignalis0.3183,andthegoodnessoffitis0.9676.Underthesamedataset,themeansquareerrorandgoodnessoffitofthetirerollingresistanceestimationalgorithm,whichonlyusesvehiclespeed,tirepressureandloadasinputvariables,are0.3524and0.9419.Theresultsshowthatcomparedwiththetraditionalphysicalmodelofrollingresistance,thefittingeffectoftheregressionequationcombiningthetireaccelerationsignalanddrivingparametersisbetterthanthatofusingonlythedrivingparameters,andthepredictionresultismoreaccurate,whichmayprovidesomereferencesfortheresearchofrollingresistance.
作者：王子寒 李波 贝绍轶 刘涛 林棻 殷国栋[5]Author：WANGZihan LIBo BEIShaoyi LIUTao LINFen YINGuodong[5]
作者单位：江苏理工学院汽车与交通工程学院,江苏常州213001江苏理工学院汽车与交通工程学院,江苏常州213001;清华大学苏州汽车研究院,江苏苏州215200清华大学苏州汽车研究院,江苏苏州215200南京航空航天大学能源与动力学院,南京210016东南大学机械工程学院,南京210096
刊名：重庆理工大学学报
Journal：JournalofChongqingInstituteofTechnology
年，卷(期)：2024, 38(1)
分类号：U463.341
关键词：智能轮胎 加速度 滚动阻力 功率谱密度 偏最小二乘回归
Keywords：intelligenttire acceleration rollingresistance powerspectraldensity partialleastsquaresregression
机标分类号：
在线出版日期：2024年3月6日
基金项目：国家自然科学基金，江苏省高校自然科学基金重大项目基于加速度信号的轮胎滚动阻力估计算法[
期刊论文] 重庆理工大学学报--2024, 38(1)王子寒 李波 贝绍轶 刘涛 林棻 殷国栋提出了一种基于智能轮胎的滚动阻力估计算法,利用轮胎加速度信号实现轮胎滚动阻力更高精度的估算.使用ABAQUS软件建立205/55/R16子午线轮胎的稳态滚动阻力模型,通过对不同负载、胎压和车速下滚动阻力的仿真结果分析,验证...参考文献和引证文献
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基于加速度信号的轮胎滚动阻力估计算法 Tire rolling resistance estimation algorithm based on acceleration signal
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