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Emerging Technologies for Electric and Hybrid Vehicles
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Energies 2016,9, 997 19. Jones,D.R.;Perttunen,C.D.;Stuckman,B.E.LipschitzOptimizationwithoutLipschitzConstant. J.Optim. TheoryAppl. 1993,79, 157–181. [CrossRef] 20. Finkel,D.E.; Kelley,C.T.ConvergenceAnalysis of theDIRECTAlgorithm; NorthCarolina StateUniversity Center forResearch inScientificComputationTechnology:Raleigh,NC,USA,2010. 21. Gu,L.A.ComparisonofPolynomialBasedRegressionModels inVehicleSafetyAnalysis. InProceedingsof the2001ASMEDesignEngineeringTechnicalConferences,Pittsburgh,PA,USA,9–12September2001. 22. Rousseau,A.;Pagerit, S.;Gao,D.Plug-inHybridElectricVehicleControlStrategyParameterOptimization. JAEV2007,6, 1125–1133. [CrossRef] 23. He,H.W.;Huang,X.G.; Zhang,Y.M.; Zhang,X.W.DIRECTAlgorithmBasedParametersOptimization ResearchforHybridElectricVehicles.Aut. Eng. 2011,1, 35–41. 24. Panday,A.;Bansal,H.O.FuelEfficiencyOptimizationof Input-splitHybridElectricVehicleUsingDIRECT Algorithm. InProceedingsof the IEEE InternationalConferenceon Industrial and InformationSystem, Gwalior, India,15–17December2014. 25. Zhao,Z.G.;Chen,H.J.;Yang, J.;Wu,X.W.;Yu,Z.P.Estimationof theVehicleSpeed in theDrivingModefora HybridElectricCarBasedonanUnscentedKalmanFilter.Proc. Inst.Mech. Eng. PartDJ.Automob. Eng. 2014,229, 437–456. [CrossRef] 26. Zhao,Z.G.;He,N.;Zhu,Y.;Yu,Z.P.ModeTransitionSwitchControl forFour-wheelDriveHybridElectric Vehicle. J.Mech. Eng. 2011,47, 100–109. 27. Chen,Q.S.;Lin,C.T.ReviewforBatteryPerformanceModelResearchofElectricVehicles.Aut. Technol. 2005, 1, 1–5. 28. Johnson,V.H.BatteryPerformanceModels inADVISOR. J.PowerSources2002,110, 321–329. [CrossRef] 29. Yu,Z.S.;Xia,Q.S.Theories ofAutomotive;ChinaMachinePress: Beijing,China,2000. (InChinese) 30. Shen,P.H.;Sun,Z.C.;Zeng,Y.J.;Wang,X.J.;Dai,H.F.StudyonPowerRatioBetweentheFrontMotorand RearMotorofDistributedDriveElectricVehicleBasedonEnergyEfficiencyOptimization. InProceedingsof the2016SAEWorldCongressandExhibition,Detroit,MI,USA,4–6April2016. 31. Steven, E.MultifidelityGlobalDesignOptimization including Parallelization Potential; University of Florid: Gainesville,FL,USA,2002. ©2016bytheauthors. LicenseeMDPI,Basel,Switzerland. Thisarticle isanopenaccess articledistributedunder the termsandconditionsof theCreativeCommonsAttribution (CCBY) license (http://creativecommons.org/licenses/by/4.0/). 306
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Emerging Technologies for Electric and Hybrid Vehicles
Titel
Emerging Technologies for Electric and Hybrid Vehicles
Herausgeber
MDPI
Ort
Basel
Datum
2017
Sprache
englisch
Lizenz
CC BY-NC-ND 4.0
ISBN
978-3-03897-191-7
Abmessungen
17.0 x 24.4 cm
Seiten
376
Schlagwörter
electric vehicle, plug-in hybrid electric vehicle (PHEV), energy sources, energy management strategy, energy-storage system, charging technologies, control algorithms, battery, operating scenario, wireless power transfer (WPT)
Kategorie
Technik
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Emerging Technologies for Electric and Hybrid Vehicles