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Energies 2017,10, 315
Themisalignmentbetweenthecoils isdetectedusingsensorsandthevehicle’sposition is then
adjustedbyappropriateautonomoussteeringuntil thedegradedpowertransfer intheDWCisrestored
toanoptimumlevel.
Manyvehicle trackingmethodshavebeenpreviouslyproposedwhereonepopularmethodis
usingglobalpositioningsystem(GPS)sensorsand/ormagneticmarkers [18].Other trackingmethods
specific forDWCapplicationsarealsoproposed in [19–21],wherea radio-frequency identification
(RFID) tagandreaderwere implemented.However,onedisadvantageofmagneticmarkersorRFID
tags is the rapiddecay in the strength of themagnetic fieldwith distance, as the detectormoves
awayfromthemarker/tagrange. Therefore, themagneticmarkersorRFIDtagshave tobeplaced
close toeachother inorder toachievehightrackingresolution,which increasesoverall construction
costs. Toreduceconstructioncosts,magnetic sensinghardwarewithawiderdetectionrangehasbeen
proposedas shown in [22] orusingaGaussian function-basedalgorithmtohavehigherdetection
accuracy[23].However, this leads tobulkier sensorhardwarewhich isnotdesirable, especiallywhen
vehiclespace isvery limitedwith theDWCsysteminstalled.
Anothermethodofmagnetic tracking is theautonomouscoilalignmentsystem(ACAS),which
hasbeenproposedbytheauthorsof thispaper in [24].ACASisanovelmethodof trackingavehicle’s
misalignmentpositionbyonlymeasuring thevoltage in thevehicle’s loadcoil. Since thismethodonly
utilizes theexistingDWCsystem, theuseofexternalmagneticorRFIDmarkers iseliminated,which
leads toasignificant reduction in implementationcosts for themagnetic trackingfunctions.Onemain
challengeof this approach ishowtodeterminewhether the loadcoilwasmisaligned to the left or
therightsiderelative to thecenterof thesourcecoil. This isbecause thevoltagereadingsarenearly
identicalonbothsides. Theproposedtwo-sensorcoilunitdesign in[24]detectedthe left/rightside
positionbycalculating thedifference in thevoltage readingsof the twosensor coils. Even though
theoperational feasibility of theACASwasverified, itwas only compatiblewith a specificDWC
system,anditsalgorithmwasverycomplex. Ifanysignificantchangesweremadeto theDWCsystem,
theaccuracyofpositiontrackingcouldbeaffected.
TheACASproposedinthispaperisasignificant improvementoverthepreviousdesigndescribed
in [24]. It is a single-sensor coilunit, anddetects change involtagephase to identify the left/right
side position rather than the voltage difference between two sensor coils. With the newACAS
design, thecomplexityof thealgorithmandhardwarecanbesignificantlyreduced,providingamore
reliable system. This also allowswider application compatibilitywith otherDWCsystemswith
varyingspecifications.
The paper is organized as follows: an analysis of power loss due to lateral misalignment,
aswell as the reasons for proposing theACAS system, are discussed in Section 2. In Section 3,
themaincomponentsof theACASarediscussedanditsconcept feasibility isverifiedbysimulation.
Theoperational feasibilityof theACASis furtherverifiedbyexperiments inSection4.Conclusionsare
presented inSection5.
2.AnalysisofPowerLossDuetoLateralMisalignment inDynamicWirelessCharging
(DWC)Systems
DWCcanbeviewedasageneralWPTsystemcircuitmodel, showninFigure3,whichconsistsof
asourcecoil anda loadcoil section. Theefficiencyof theWPTsystemisdefinedbytheratioof the
powerdeliveredfromthesourcecoil,PS, andthe loadcoil,PL, as follows:
η= PL
PS (1)
FromEquation(1),PS andPL canbedefinedas:
PS= I1VS= (
RL+ 1jωCL+ jωLL
jωM I2 )
VS (2)
327
Emerging Technologies for Electric and Hybrid Vehicles
- Title
- Emerging Technologies for Electric and Hybrid Vehicles
- Editor
- MDPI
- Location
- Basel
- Date
- 2017
- Language
- English
- License
- CC BY-NC-ND 4.0
- ISBN
- 978-3-03897-191-7
- Size
- 17.0 x 24.4 cm
- Pages
- 376
- Keywords
- 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)
- Category
- Technik