Seite - 305 - in 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.
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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