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Energies 2017,10, 315
Figure4. 3-DEMsimulationmodelof thesourcecoilandloadcoilandtheirdimensionalparameters
(incm).
Table1.Parametersetupfor the3-DEMsimulation.
Parameter SourceCoil LoadCoil SensorCoil
#of turns 8 50 10
Inductance 116μH 2.35mH 732nH
Operatingfrequency 20kHz
Current throughsourcecoil 200A
Thesimulationwasconductedtoobserve thechanges inM,kandthe loadcoil’s receivedpower
resultingfromalateralmisalignmentof−50cmto50cm,andalsoanangularmisalignmentof0,10,
and20degrees relative to the zaxis. The simulationonly consideredanangularmisalignmentup
to20degrees,becauseanangularmisalignmentgreater thanthestatedvaluecanbeconsideredan
extremesteeringangle foravehiclemovingathighspeeds.
Thechanges inM, andk fromthe lateralandangularmisalignmentsareshowninFigure5. There
areslightvariationswith increasedangularmisalignment,but it canbeseenthat lateralmisalignment
is thedominant factor inreducingM.Therefore, theproposedACASwasdesignedtominimize lateral
misalignment to allowhigherM so that higherpowerwill be receivedat the load coil, increasing
overall efficiency.
Figure 5. 3-D EM simulation result showing the change in themutual inductance and coupling
coefficientdueto lateralmisalignmentandangularmisalignment.
3.Conceptof theAutonomousCoilAlignmentSystem(ACAS)
Figure6 showsageneral blockdiagramof theproposedACAS. It isdivided into threeparts:
the ACAS sensor coil unit, the lateral position detection unit, and the fuzzy steering controller.
The lateral misalignment position is estimated by the sensor coil unit and further processed by
the lateralmisalignmentdetectionunit. Basedonthedetected lateralmisalignment, the fuzzysteering
controllerwill sendsteeringcommands to theelectronicpowersteeringsystem(EPS), afterwhich the
vehicle is steeredautonomously tocorrect themisalignment. EPS isalreadyused inmostEVsand
isbeingequipped inmostnewlymanufacturedcommercialvehiclesaswell. In caseanobstacle is
329
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