并联式混合动力轿车动力系统性能匹配与优化研究

上海交通大学博士学位论文并联式混合动力轿车动力系统性能匹配与优化研究姓名：朱正礼申请学位级别：博士专业：车辆工程指导教师：张建武;殷承良20040901i863EQ7200HEVParetomap/MatlabSimulinkiiADVISOREQ7200HEVEQ7200HEVEQ7200HEVEQ7200HEV-AEQ7200HEV-B,,,iiiABSTRACTTherearetwoseriousproblemsfacingchallengesforsustainabledevelopmentofautomotiveindustry.Oneisenvironmentalpollutionandtheotherisdeficiencyofpetroleumresources.Hybridelectricvehicles(HEVs)havebeenacceptedworldwideasoneofthemostpromisingmethodstotheproblems.Insomewestcountries,governmentsandautomobilemanufacturershaveinvestedalotforthedevelopmentofHEVs.ThepresentresearchisfinanciallysupportedbyChinaMinistryofScienceandTechnologyHighTechnologyDevelopmentProgramSpecialProjectEQ7200HEVHybridElectricCarDevelopment.Inthepresentresearch,anewtheoreticalmodelingalgorithmisproposedforthematchingandoptimizationofperformanceforthehybridelectricpowersystemintheresearchlaboratory.Thepresentalgorithmissuccessfullyemployedinthedevelopmentofhybridelectriccarsandhasbeenvalidatedinthevehiclefieldtests.Accordingtothetestresults,itisprovedthatthealgorithmiseffectiveandefficientinthelaboratoryforreductionofbothfieldtestexpensesanddevelopmentcycletime.ThisoptimizationalgorithmcharacterizedbyusingauniformandmodularizationmethodcanbeeasilyusedforthedevelopmentanddesignforothertypesofHEVs.Firstofall,disadvantagesoftraditionalmethodofmatchingandoptimizationofperformanceforhybridelectricpowersystemareexamined,andanewalgorithmisdevelopedtooptimizehybridelectricpowersystemsystematicallybycombiningparametricdesignwithperformanceoptimizationaccordingtorealengineeringlimitsanddesigntargets.Thematchingandoptimizationofpowersystemforhybridelectriccarswhosetargetsaretorealizethebestdesignofpowerperformance,noise,fuelconsumptionandpollutantemissionsisanon-linearmulti-objectiveoptimizationproblemwhosetargetistofindthebestParetosolutioninagivenfieldanditsobjectivefunctionisbuilt.Bysettinganerrortolerancerequiredforoptimizationsimulation,thesubsystemmodelsofthepowersystemcanbepresentedasimportantpartswhichhavestrongeffectontheefficiencyandeffectivenessofthematchingandoptimizationofthehybridelectricpowersystem.Thesemodelsconsistofenginemodelbasedonthecombinationofmaptableandmathematicmodel,permanentmagnetsynchronousmotormodelandpowerbatterymodel.AccordingtotheworkingcharacteristicsofivHEVs,theengineeringrequirementsanddesignrulesareproposedforpermanentmagnetsynchronousmotorandpowerbatteryusedinHEVs.Atthesametime,therulesofselectingthesizingandspeedratio(themaximumspeeddividedbyitsratedspeed)forpermanentmagnetsynchronousmotoraregiven.Bysimulationandexperimentalresults,itisshownthatthesesubsystemmodelsforthepowersystemarevalidandaccurateandapplicableforHEVs’development.Thermalengineisthemainpowersourceandelectricmotoristheassistantoneinthedrivingmodeforhybridelectriccars.Afuzzycontrollerisdesignedtoimprovetheefficiencyoffuelconsumptionfortheenginebasedontheoptimalcurvefuzzycontrolstrategy.Thesimulationprogramfortheparallelhybridelectricpowersystemisbuiltintheenvironmentof/MatlabSimulink.Byanalyzingthesimulationresultsofthedesignedfuzzycontroller,itisshownthatthestrategyiseffective,reasonable,universalandrobust,andunderlaidforthefurtherresearchanddevelopment.Geneticalgorithmisusedforthematchingandoptimizationofthepowersystemforparallelhybridelectriccars.Comparisonsbetweensimulationresultsbygeneticalgorithmandbytraditionalapproacharemadeanditisshownthatthegeneticalgorithmisreasonableandpracticalforthematchingandoptimizationofthepowersystemforparallelhybridelectriccars.Thedesignconstraints,testconditionsandproducttargetsaredeterminedforthedevelopmentofhybridelectriccarEQ7200HEV.ThatgeneticalgorithmisusedforthematchingandoptimizationofpowersystemforEQ7200HEV.Thislaidafoundationfortestvalidation.PowerperformanceandfuelconsumptionexperimentsarecarriedoutforthepurposeofcomparisonbetweenEQ7200HEV-AandEQ7200HEV-Bdevelopedbyusingtheoptimizationalgorithmpresented.Theeffectivenessofthealgorithmisprovedtosatisfytherealengineeringrequirementsandthedesigntargets.Thematchingandoptimizationofthepowersystemforhybridelectriccarsbecomesincreasinglyimportantforthedevelopmentofhighlevelandqualityhybridelectriccars.Arapidandefficientoptimizationalgorithmofthehybridelectricpowersystemleadstofasterdevelopmentandmoreefficientdesigntargetsrealizationincomparisonwiththein-vehicledevelopmentinthesenseofdevelopmentperiodandcost.SuccessfulapplicationofthealgorithminthedevelopmentofparallelhybridelectriccarshasshownthatthepresentresearchopensanefficientwaytothedevelopmentofHEVsforlocalautomotiveindustries.Keywords:Parallelhybridelectriccar,Powertrainoptimization,Fueleconomy,Geneticalgorithm,Fuzzycontrolvii()r2()kgm-⋅A2()mdCv1()ms-⋅0,ffg2()ms-⋅am()kgdfl()mrl()mwJ2()kgm⋅fJ2()kgm⋅mJ2()kgm⋅gi1,2,3,4g=0iwF()NfF()NiF()NjF()NtF()NtT()Nm⋅Thr()map()Paemp()PaeReap()Paaim&1()gh-⋅aom&1()gh-⋅SA(o)viiien1(min)r-⋅fm&1()gh-⋅/AF/17AF=eT()Nm⋅eoP()kWeP()kWHV()lj%0100%CO&CO1()gh-⋅HC&HC1()gh-⋅XNO&XNO1()gh-⋅l1Bd()TmA1()Acm-⋅1iD()cm1D()cmefL()cmFer3()gcm-⋅mNP()kWemP()kW1mP()kWmhdambn1(min)r-⋅mmmNdpKmp1t()cmmNT()Nm⋅emT()Nm⋅