Seite - 152 - in Emerging Technologies for Electric and Hybrid Vehicles
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Energies 2017,10, 1503
ThefrontpanelinFigure10containsinformationsuchasthecurrentconfigurationofthebatterypack
andtherespectiveminimum,maximumandmeanvoltagesandSOCvalueof thebatterypack.Theother
functionalmodules thatcontainthecells’ informationareshowninFigure10. Intheconfigurationpage,
asshowninFigure11, fouroptionsof thebattery-cell typescanbeselected. Theuserscanchoose the
materialof thephysical cells connected to thecontrolboard, thebattery-cell capacityandbattery-cell
maximumdischargingcurrent. The lastparameter is thegrouping topologyof thebatterypack that
dependsonthephysicalbattery-cell layout, that is, seriesorparallel. Thesystemcanbe initializedto
proceedwith theproper functionand faultdiagnosis operation. However, if the series-cell layout is
definedbytheactualparallel-cellconfiguration, thesystemwillnot functionforsafetypurposes.
Thedata-acquisitionmoduleof thepowersystemisessential for theSOCestimationandfault
diagnosis. Itwillaffecttheoverallperformanceofthesystem. Inthispaper,anaccuratedata-acquisition
module for the battery cell is implementedwith a total measurement error of less than 1.2mV.
Theprecisedataensure that theaccuracyof theSOCestimationandthesafetyof thesystemcanbe
monitored. Thecell-monitoringpageof theGUIcanbeseen inFigure12. Forexample, thesystemcan
estimate theSOCofeachcell. TheSOCvaluesarequiteclose to thevaluesobtainedbytheextended
Kalmanfilter (EKF).TheproposedSOCestimationexhibits a closematchwith theEKFunder the
regularpulsedischarge test (PDT),as seen inFigure13.Here, the2Resistor-Capacitor (RC)equivalent
circuitmodel (ECM) is applied for theEKF-basedSOCestimation. The functionof the SOCwith
respect toUOC isdescribedas follows[33]:
UOC=3.397−0.19SOC+0.087logSOC−0.054log(1−SOC), (6)
whereSOC∈ (0, 1).
Figure12.Cell-monitoringpanelofGUIforproposedbattery-powersystem.
Figure13.ComparisonofExtendedKalmanfilter (EKF)withproposedSOCestimationunderregular
pulsedischarge test.
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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