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1、Model-BasedCalibrationToolboxCalibratecomplexpowertrainsystemsModel-BasedCalibrationToolbox™providesdesigntoolsforoptimallycalibratingcomplexpowertrainsystemsusingstatisticalmodelingandnumericoptimization.Youcandefinetestplans,developstatisticalmodels,andgeneratecalibrationsandlookuptablesforcomplex
2、high-degree-of-freedomenginesthatwouldrequire®®exhaustivetestingusingtraditionalmethods.ByusingthetoolboxwithMATLABandSimulink,youcandevelopaprocessforsystematicallyidentifyingtheoptimalbalanceofengineperformance,emissions,andfueleconomy,andreusestatisticalmodelsforcontroldesign,hardware-in-the-loop
3、testing,orpowertrainsimulation.KeyFeatures▪Interactiveworkflowtoolsfordesigningexperiments,fittingstatisticalmodelstoenginedata,andproducingoptimalcalibrations▪Classical,space-filling,andoptimaldesigns,basedonDesign-of-Experimentsmethodology,forcreatingoptimizedtestplans▪Techniquesfordevelopinghigh-
4、fidelitynonlinearstatisticalmodelsfromtestdata▪Linearregressionandradialbasisfunctionmodelingtechniquesforcreatingaccuratefitstodata▪Built-inanduser-definablelibrariesofempiricalmodelforms▪Boundarymodelingtokeepoptimizationresultswithintheengineoperatingenvelope▪Optimizationandtradeofftoolsforsolvin
5、gcalibrationproblemsatindividualoperatingpointsoroverdrivecycles▪Generationoflookuptablesfrommodels,optimizationresults,ortestdata▪CalibrationimportandexportlinkstoETASINCAandATIVisionDesigningandManagingTestsModel-BasedCalibrationToolboxenablesyoutodesignatestplanbasedonDesignofExperiments,amethodo
6、logythatsavestesttimebylettingyouperformonlythoseteststhatareneededtodeterminetheshapeofyourengineresponse.Thetoolboxoffersafullrangeofprovenexperimentaldesigns,including:▪Classical:Box-Behnken,Central-Composite,andFullFactorial▪Space-filling:LatinHypercubeandLattice▪Optimal:V,D,andAoptimalitycriter
7、ia1Youcanusetheexperimentaldesigntodefinethetestpointstoberuninanenginedynamometer.YouthenbringthetestdataintoModel-BasedCalibrationToolboxtodevelopenginemodels.UsingtheDesignEditorinthetoolbox,youcan
