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Emerging Technologies for Electric and Hybrid Vehicles
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Energies 2016,9, 997 wewillverify theoptimizationmethodof thekeyparameters for theHEVenergymanagement strategybasedonlogical thresholdbytestingarealvehicle. Acknowledgments: This work was financially supported by China Automobile Industry Innovation and Development joint fund (ProjectNo. U1564208),NationalNatural Science FoundationofChina (ProjectNo. 51275355)andNationalKeyScientific InstrumentandEquipmentDevelopmentProject (No. 2012YQ15025603). Author Contributions: Peihong Shen andXiaowenZhan built the simulationmodel ofHEV. JingxianHao andZhuopingYuformulated therule-based logic thresholdcontrol strategyandanalyzed itskeyparameters. ZhiguoZhaoestablishedtheoptimizationmodelofkeyparametersusingDIRECTalgorithm.Allauthorscarried outdataanalysis. JingxianHaowrote thepaper. Conflictsof Interest:Theauthorsdeclarenoconflictof interest. References 1. Peng, J.;Fan,H.;He,H.;Pan,D.ARule-BasedEnergyManagementStrategyforaPlug-inHybridSchool BusBasedonaControllerAreaNetworkBus.Energies2015,8, 5122–5142. [CrossRef] 2. Wirasingha,S.;Emadi,A.ClassificationandReviewofControlStrategiesforPlug-inHybridElectricVehicles. IEEETrans.Veh. Technol. 2011,60, 907–914. [CrossRef] 3. Panday,A.;Bansal,H.O.EnergyManagementStrategyforHybridElectricVehiclesUsingGeneticAlgorithm. J.Renew. Sustain. Energy2016,8, 741–746. [CrossRef] 4. Jun,W.;Wang,Q.;Wang,P.;Han,B.TheOptimizationofControlParameters forHybridElectricVehicles BasedonGeneticAlgorithm. InProceedingsof theSAEWorldCongress,Detroit,MI,USA,8–10April2014. 5. Varesi,K.;Radan,A.ANovelGABasedTechnique forOptimizingBoth theDesignandControlParameters inParallelPassengerHybridCars. Int. Rev. Electr. Eng. 2011,63, 1279–1286. 6. Montazeri-Gh,M.;Poursamad,A.;Ghalichi,B.ApplicationofGeneticAlgorithmforOptimizationofControl Strategy inParallelHybridElectricVehicles. J.Frankl. Inst. 2006,343, 420–435. [CrossRef] 7. Fang,L.;Qin,S.;Xu,G.;Li,T.;Zhu,K.SimultaneousOptimizationforHybridElectricVehicleParameters BasedonMulti-ObjectiveGeneticAlgorithms.Energies2011,4, 532–544. [CrossRef] 8. Huang,B.;Wang,Z.C.;Xu,Y.S.Multi-ObjectiveGeneticAlgorithmforHybridElectricVehicleParameter Optimization. InProceedingsof theIEEE/RSJ InternationalConferenceonIntelligentRobots&Systems, Beijing,China,9–15October2006. 9. Li,Y.;Lu,X.;Kar,N.Rule-BasedControlStrategywithNovelParametersOptimizationUsingNSGA-II for Power-SplitPHEVOperationCostMinimization. IEEETrans.Veh. Technol. 2014,63, 3051–3061. [CrossRef] 10. Li,L.;Zhang,Y.H.;Chao,Y.G.; Jiao,X.H.;Zhang,L.P.;Song, J.HybridGeneticAlgorithm-basedOptimization ofPowertrainandControlParametersofPlug-inHybridElectricBus. J. Frankl. Inst. 2014,352, 776–801. [CrossRef] 11. Chen,Z.;Xiong,R.;Wang,K.; Jiao,B.OptimalEnergyManagementStrategyofaPlug-inHybridElectric VehicleBasedonaParticleSwarmOptimizationAlgorithm.Energies2015,8, 3661–3678. [CrossRef] 12. Xiong,R.;He,H.W.; Sun, F.C.Methodology forOptimal SizingofHybridPowerSystemUsingParticle SwarmOptimizationandDynamicProgramming.EnergyProcedia2015,75, 1895–1900. [CrossRef] 13. Wu, J.;Zhang,C.H.;Cui,N.X.PSOAlgorithm-basedParameterOptimizationforHEVPowertrainandIts ControlStrategy. Int. J.Automot. Technol. 2008,91, 53–59. [CrossRef] 14. Deng,Y.W.;Chen,K.L.SimulatedAnnealingParticleSwarmAlgorithmBasedParametersOptimizationfor HybridElectricVehicles.Aut. Eng. 2012,34, 580–584. 15. Wang,Q.;Frank,A.A.Plug-inHEVwithCVT:Configuration,Control, andItsConcurrentMulti-objective OptimizationbyEvolutionaryAlgorithm. Int. J.Automot. Technol. 2014,15, 103–115. [CrossRef] 16. Zhang,L.P.; Lin,C.;Niu,X.OptimizationofControl Strategy forPlug-inHybridElectricVehicleBased onDifferential EvolutionAlgorithm. InProceedingsof theAsia-PacificPowerandEnergyEngineering Conference,Wuhan,China,28–31May2009. 17. Long, V.T.; Nhan, N.V. Bees-algorithm-based Optimization of Component Size and Control Strategy Parameters forParallelHybridElectricVehicles. Int. J.Automot. Technol. 2012,13, 1177–1183. [CrossRef] 18. Chris,M.;Abul,M.;David,G.HybridElectricVehicles: PrinciplesandApplicationswithPracticalPerspectives; JohnWiley&Sons:Hoboken,NJ,USA,2011. 305
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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