Seite - 171 - in Emerging Technologies for Electric and Hybrid Vehicles
Bild der Seite - 171 -
Text der Seite - 171 -
Energies 2017,10, 5
6R&
K K K K
6R&
K K K K
(a) (b)
Figure10.Timeconstantestimationresultswithdifferent lengthsof theexperimentaldataset: (a)τshort;
(b)τlong.
Afterdeterminingthe lengthof thefittedexperimentaldataset,wecansubsequentlyobtain the
resistances. Figure 11 shows theRlong estimation results by the conventional fitting function and
the improvedfitting function. It canbe concluded fromFigure 11 that theRlong estimatedby the
conventionalfitting function isgenerally less thantheoneestimatedbythe improvedfitting function,
because itneglects the (1−e−D/τlong)part. Inorder todemonstrate theadvantageof the improved
fittingfunction,data fromthe20thcycleof thedischargingpulse-rest testareadopted. In thiscycle,
SoCchangesfrom62%to60%duringthepulse-dischargingperiod, thenkeepsthevalueof60%during
the followingrestperiod. Thecurrentprofileof the20thdischargingpulse-rest test isappliedonthe
ECMMATLAB/SIMULINKmodel asanexcitation. Figure12a,b shows themodeloutputvoltage
responseswith twosetsofestimatedmodelparameters. It canbeseenthat themodelwithparameters
estimatedbytheproposedfittingfunctionoutputsbetterestimationresults. The lowervoltageerror is
mainlycontributedbythehighervoltagedropacross the long-termRCnetwork,asplottedinFigure12c.
Inaddition, therootmeansquareerrors (RMSEs)betweenthemeasuredvoltageandthemodeloutput
voltageatdifferentSoCsaregiveninTable3. It canalsobeseenthat themodelparametersestimatedby
theproposedfittingfunctionshowabetterperformanceforawiderangeofSoC.
6R&
FRQYHQWLRQDO ILWWLQJ IXQFWLRQ
LPSURYHG ILWWLQJ IXQFWLRQ
Figure11.Rlong estimationresults.
Table3.ComparisonofRMSEatdifferentSoC.
SoC (%) 10 20 30 40 50 60 70 80 90
RMSE(mV) Conventionalfitting function 1.802 1.714 2.167 1.540 1.268 2.803 2.416 1.558 1.444
Improvedfittingfunction 0.7658 0.7582 0.9707 0.7643 0.5000 1.202 1.242 0.7104 0.6482
171
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