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Energies 2016,9, 997
optimization. TheDIRECTalgorithmbasedoptimizationmethodcanensure theglobaloptimized
parametersofHEVenergymanagementstrategy.However, the literatureswhichoptimizedhybrid
electricvehicleparametersbasedonDIRECTalgorithmmerelyoptimizedtheparametersofpowertrain
configurationorpartial parameters of control strategy to improveenergyefficiency. Fewresearch
workshavecomprehensivelyanalyzedandoptimizedthe influencingparametersof logic threshold
control strategyforHEV,especially forall-wheel-driveHEV.The logic thresholdcontrol strategyof
all-wheel-driveHEVismorecomplicated, for theall-wheel-driveHEVhasmorefreedomofpower
sources.Andtheoptimizationof the logic thresholdcontrol strategyparameters forall-wheel-drive
HEVcomprehensively ismorechallengingandmoremeaningful to improvethe fueleconomy.
Table1.General comparisonofdifferentalgorithms.
Algorithm Convergence ComputationBurden GlobalOptimization
Geneticalgorithm good general bad
Hybridgeneticalgorithm good general general
Particleswarmoptimization good good bad
Simulatedannealing bad good general
Beesalgorithm good bad general
DIRECTalgorithm good general good
In thispaper, the logic thresholdparametersof theall-wheel-driveHEVenergymanagement
strategyare comprehensivelyanalyzed, and thesevenenergyefficiency influencingparameters to
beoptimizedareextracted. Then, theminimizedequivalent fuel consumptionper100kmissetas
the target, andtheDIRECTalgorithmis implementedtooptimize theproposedparametersglobally.
Finally, theeffectivenessof thealgorithmtosolve theproblemisanalyzedbysimulation.
2.HEVPowertrainModel
Theresearchobject in this studyisanall-wheel-drive fullHEV,anditspowertrainstructure is
shown inFigure1 [25]. Its front axleadopts thedrivingstructure including theengine, integrated
starterandgenerator (ISG)motor,andautomatedmechanical transmission(AMT)gearbox. Its rear
axle isdrivenbytwoin-wheelmotors. TheISGmotorshares thesameaxlewith theengine; therefore,
it canfunction as a crankingmotor to start the engine quickly. Besides, the output torque of the
in-wheelmotorcanbedirectly transmittedto thewheelandiscapableofdrivingthevehiclealoneat
lowspeed.At thesametime, the ISGandin-wheelmotorscanbeusedbothasdrivingmotors for the
vehicleandfunctionasgenerators toregenerate theexcesskineticenergy.
Figure1showsthat thekeypartsof theHEVpowertrain include theengine, ISGmotor,AMT
gearbox, in-wheelmotor, andpowerbattery. Themain technical parameters of these components
areshowninTables2–7. Inconsiderationof thecomplexity foracquiringthemodelparametersand
controlaccuracy, thestaticmodelwithdynamiccorrectionformainpowercomponents isadopted.
Table2.Vehicleparametersof four-wheeldriveHEV.
Vehicle
CurbMass Tire
Radius Frontal
Area Correction
Coefficientof
RotatingMass Coefficientof
AirResistance Coefficientof
Rolling
Resistance
1650kg 0.308m 2.095m2 1.05 0.293 0.0137
Table3.Engineparametersof four-wheeldriveHEV.
EngineCapacity PeakTorque PeakPower MaximumRotationalSpeed
1.8L 250N·m 150kW 6500rpm
284
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