Web-Books
im Austria-Forum
Austria-Forum
Web-Books
Technik
Emerging Technologies for Electric and Hybrid Vehicles
Seite - 162 -
  • Benutzer
  • Version
    • Vollversion
    • Textversion
  • Sprache
    • Deutsch
    • English - Englisch

Seite - 162 - in Emerging Technologies for Electric and Hybrid Vehicles

Bild der Seite - 162 -

Bild der Seite - 162 - in Emerging Technologies for Electric and Hybrid Vehicles

Text der Seite - 162 -

Energies 2017,10, 5 This cycle is repeateduntil thebattery is fullydischarged. Datapoints (includingcurrent, voltage, charging capacity and discharging capacity) are collectedwith the sampling frequency of 1Hz. Therelevantvoltageandcurrentprofilesof thedischargingpulse-rest testduringthe66%–64%SoC interval areplotted in thebottomsubfigureof Figure 1. The chargingpulse-rest test is conducted similarly, that is it beginswitha fully-dischargedbattery, thenchargedat a2%SoC stepwithC/2 constant current and followedbya restperiod. Inorder to eliminate thepolarizationvoltage, the OCVvaluesareextractedat theendofeachrestperiod. Tooshort a rest time leads toa largeOCV estimationerror,whereas too longarest timemakes thewhole test timeconsuming. Ithasbeenshown previously that for the lithium-ionpolymerbatteries, electrochemical reactionsarenegligibleaftera 2-hrestperiod[47,48]. Therefore, therest time in thispaper ispredeterminedas2h. 2.2. ParameterEstimationAlgorithm Theelectricalbehaviorof theECMisexpressedas the followingstatespace formalism: [ dVRC,short/dt dVRC,long/dt ] = [ −1/RshortCshort 0 0 −1/RlongClong ][ VRC,short VRC,long ] + [ 1/Cshort 1/Clong ] I (1) Vt=OCV(SoC)+ IRin+VRC,short+VRC,long (2) whereEquation(1) is thestateequationandEquation(2) is theoutputequation,VRC,short andVRC,long represent thevoltagesacross theshort-termandthe long-termRCnetworks, respectively,OCV(SoC) is aneighth-orderpolynomialequationasa functionofSoC,Vt is thebattery terminalvoltageandthe positivecurrent I representscharging.Rin represents the internalresistance;Rshort andRlongdenote the diffusionresistances;andCshort andClong represent thediffusioncapacitances.Amongthem,Rin can bedirectlyobtainedfromeachpulse-rest cycle throughEquation(3); thecorrespondingfourvariables (V1,V2, I1 and I2)aremarkedinthebottomsubfigureofFigure1,andthevariationof identifiedRin withSoC is showninFigure2.SoCcanbecalculatedthroughEquation(4), inwhichCapdenotes the capacityof thebattery inAh. Rin= V2−V1 I2− I1 (3) SoC=SoC(0)+ 1 3600Cap ∫ t 0 I(τ)dτ (4) 6R& Figure2.Rin variationwithdifferentstateofcharge (SoC). For theCCoperatingscenario (I =0), theanalytical solutionsofEquation(1)arederivedas: ⎧⎨ ⎩ VRC,short(t)=VRC,short(0)e − tτshort + IRshort(1−e− t τshort) VRC,long(t)=VRC,long(0)e − tτlong + IRlong(1−e − tτlong) (5) 162
zurück zum  Buch Emerging Technologies for Electric and Hybrid Vehicles"
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
Web-Books
Bibliothek
Datenschutz
Impressum
Austria-Forum
Austria-Forum
Web-Books
Emerging Technologies for Electric and Hybrid Vehicles