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Energies 2017,10, 315
(a) (b)
Figure11.Simulationresultsshowingthemagneticfluxdensity for the loadcoil (a)with thesensor
coilunitand(b)without thesensorcoilunit.
Theoutputvoltagewaveformsgeneratedfromthesensorcoilwhenit ismisalignedto the left
or rightsideareshowninFigure12. Theresults showthat theresultingvoltage for the left sideand
rightsidemaintainsa90degreephasedifference, thusvalidatingthe theoryshowninFigure9,and
clearlydistinguishingthe left/rightsideregionsregardlessofposition. It canalsobeobservedthat
the relationship between the sensor coil’s inducedvoltage and lateralmisalignment is non-linear.
However, this informationcanbeneglectedbecause the left/rightdirectionscanbeclearly identified
by the sensor coil. With the left/right information, the exact lateralmisalignmentposition canbe
identifiedbymeasuring thevoltage through the loadcoil,which is furtherprocessed in theACAS
lateralpositiondetectionunit.
Figure12.Simulatedsensorcoilvoltageoutputvs. time, showingthe left sideandrightsidepositions
canbeclearly identified.
3.2.ACASLateralPositionDetectionUnit
AsmentionedinSection3.1, the leftandrightsidescanbedetectedbasedonthephasedifference.
TheACASlateralpositiondetectionunit is responsible forconvertingthosevalues into information
thatcanbeprocessedbytheACASfuzzysteeringcontroller. Theblockdiagramof theACASlateral
positiondetectionunit is showninFigure13.
Figure13.BlockdiagramshowingtheACASlateralpositiondetectionunit.
333
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