Seite - 303 - in Emerging Technologies for Electric and Hybrid Vehicles
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Energies 2016,9, 997
Ascanbeobservedfromthebeginning, theequivalent fuelconsumptionper100kmdecreases
rapidlywith the increaseof iterationsandfunctionevaluations in thedrivingcycleofNEDC.Then,
it stabilizes after 9 iterations or 150 function evaluations. This stabilized value is theminimum
equivalent fuelconsumptionper100km.Thecorrespondingparametersare thegloballyoptimized
resultsusing theDIRECTalgorithm,whichmeet theminimumequivalent fuel consumption. It shows
that the proposed optimizationmethodusing theDIRECT algorithmhas good convergence and
effectiveness tooptimize thekeyparametersofenergymanagementstrategyfromtheperspectiveof
fueleconomy.
Thesimulationof theall-wheel-driveHEVis implementedinthedrivingcycleofNEDC,utilizing
the optimized logic threshold control strategy parameters. The simulation results are shown in
Figure 22. As can be seen, frequently gear change is avoided. And in the driving condition, the
in-wheelmotorsoutputmore torques thanengineand ISGmotor. During thebraking cycle, both
in-wheelmotorsandISGmotorworkasgenerators tochargethebattery.AndthebatterySOCchanges
fromthe initialvalue0.55 to the terminalvalue0.7. The instantaneous fuel consumption iscontrolled
within lowrange inmostof the time.
0 200 400 600 800 1000 1200
1
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3
4
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7 gear
t(s) 0 200 400 600 800 1000 1200
0
50
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150
200
250 engine output torque
t(s)
0 200 400 600 800 1000 1200
-80
-60
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-20
0
20 ISG motor output torque
t(s) 0 200 400 600 800 1000 1200
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-50
0
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t(s)
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75 battery SOC
t(s) 0 200 400 600 800 1000 1200
0
1
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6 instantaneous fuel consumption
t(s)
Figure22.Simulationresultsofall-wheeldriveHEVmodelutilizingtheoptimizedparameters.
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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