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2017 IEEE Energy Conversion Congress and Exposition (ECCE), 2017, p.2767-2772
2017

Details

Autor(en) / Beteiligte
Titel
Sensorless estimation of coupling coefficient based on current and voltage harmonics analysis for wireless charging system
Ist Teil von
  • 2017 IEEE Energy Conversion Congress and Exposition (ECCE), 2017, p.2767-2772
Ort / Verlag
IEEE
Erscheinungsjahr
2017
Link zum Volltext
Quelle
IEEE Xplore (IEEE/IET Electronic Library - IEL)
Beschreibungen/Notizen
  • In this digest, a coupling coefficient estimation method for wireless charging system is proposed based on its transmitter and receiver current and voltage harmonics analysis. One of the main challenges of wireless charging in vehicular application is the significant variation of magnetic coupling coefficient between transmitter (Tx) and receiver (Rx) coils due to large air-gap and lateral misalignment. As that air-gap and alignment varies, the characteristics of the system and its optimal operating point changes and the control system needs to adapt to that changes. That requires to estimate the coupling coefficient in a fast and simple method. The variation of the coupling coefficient affects harmonics characteristics of the inductor current and capacitor voltage. Therefore, from those harmonics characteristics, the coupling coefficing can be estimated. The proposed estimation method is based on these harmonics analysis and it is comparatively faster than the traditional methods using multiple signal, or both transmitter and receiver side signal and wireless communication between them. In this digest, a detailed relation between coupling coefficient and transmitter and receiver side current and voltage harmonics is given analytically. Finally, the proposed method to estimate the coupling coefficient is verified through simulation and experimental setup for a 3.3kW wireless charger under static charging for different misalignment conditions. Wireless Power Transfer, misalignment, inductive charging, magnetic coupling, coupling coefficient, mutual inductance.
Sprache
Englisch
Identifikatoren
DOI: 10.1109/ECCE.2017.8096517
Titel-ID: cdi_ieee_primary_8096517

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