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Emerging Technologies for Electric and Hybrid Vehicles
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Energies 2017,10, 5 7LPH V H[SHULPHQWDO GDWD FRQYHQWLRQDO ILWWLQJ IXQFWLRQ LPSURYHG ILWWLQJ IXQFWLRQ (a) 7LPH V H[SHULPHQWDO GDWD FRQYHQWLRQDO ILWWLQJ IXQFWLRQ LPSURYHG ILWWLQJ IXQFWLRQ (b) 7LPH V FRQYHQWLRQDO ILWWLQJ IXQFWLRQ LPSURYHG ILWWLQJ IXQFWLRQ (c) Figure12.Voltagecurvesofonecycleof thedischargingpulse-rest test (62%–60%): (a) theoverview; (b) aclose look; (c) thevoltageacross the long-termRCnetwork. 4.2.ModelVerification In thispaper, theCCchargingtestandtheconsecutiveUDDStest,whichrespectivelyrepresent two typical operating scenarios inHEV/EV applications, are conducted separately to verify the effectiveness of themodel. For the charging condition, thebattery is charged from10%–90%SoC. The typical chargingcurrent inpracticevaries fromC/8to2C[50], andaC/2ratecurrent isemployed inthechargingtest. TheconsecutiveUDDStest starts from90%SoC to20%SoC,witha10-minrest period inbetweentosimulateashortparkingtime. In therealapplication,aspecificsetofparameters canbeselectedbythecharacteristicsof themeasuredloadcurrent. Forexample, if thevaluesof the currentareapproximatelyconstantoveracertain time interval,parametersestimatedfromthedata in thepulse-chargingperiodsareemployed.Ontheotherhand,parametersestimatedfromthedata in therestperiodsareemployedwhenthe loadcurrentshowsthecharacteristicsofhighdynamicsovera certain timeinterval. Firstly, for theCCchargingscenario, threemodeloutputsandmeasuredbattery terminalvoltage curvesareplotted inFigure13,andthecorrespondingRMSEsaregiven inTable4. It canbeobserved that during thewhole charging process, themodel with parameters estimated from the data in pulse-charging periods outputs a voltage curvematching themeasured curve better because of consideringthecontinuousexternalelectricdrivingforces.However,parametersestimatedfromthe data in therestperiodsresult inrelatively largererrors, especially in thehighSoC region. Inaddition, duringmostpart of the chargingperiod, themodelwithparametersused in thedynamicdriving scenarios outputs a voltage higher than the experimental voltage. Comparing the corresponding curves inFigures8band11, it canbededucedthat thehigherestimatedvoltage ismainlycausedby the largervalueofestimatedRlong, especiallyduringthemiddlerangeof theSoC region. Table4.RMSEofmodelvoltageestimationunder theCCchargingtest. ModelingMethods DynamicCondition Rest-Period Pulse-Period RMSE(mV) 18.41 19.76 5.448 172
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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
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Emerging Technologies for Electric and Hybrid Vehicles