Page - 300 - in Emerging Technologies for Electric and Hybrid Vehicles
Image of the Page - 300 -
Text of the Page - 300 -
Energies 2016,9, 997
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Figure 18. Optimization procedure of key parameters for HEV energy management using
DIRECTalgorithm.
5.3.OptimizationResult andAnalysis
Figure19showstheoptimizationmodel for theHEVenergymanagementkeyparameters,which
includes thepreviouslyestablishedHEVclosed-loopsimulationmodel, target tominimize the fuel
consumptionper100km,andcodeof theDIRECTalgorithm.Theoptimizationmodel isestablished
inMATLAB/Simulink. Besides, theconstraintofvehicle’sdynamicperformanceshouldalsobe taken
intoaccount. The0to60 timefor theall-wheeldrive full-HEVstudiedshouldnotbemore than10s.
ThedrivingcycleofNEDCisselected,andthe initialSOC is set to55%. Thekeyparametersof the
DIRECTalgorithmaresetasshowninTable11.
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Emerging Technologies for Electric and Hybrid Vehicles
- Title
- Emerging Technologies for Electric and Hybrid Vehicles
- Editor
- MDPI
- Location
- Basel
- Date
- 2017
- Language
- English
- License
- CC BY-NC-ND 4.0
- ISBN
- 978-3-03897-191-7
- Size
- 17.0 x 24.4 cm
- Pages
- 376
- Keywords
- 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)
- Category
- Technik