Design to Minimize Coupling Coefficient between Transmitter Coils based on Deep Learning for Wireless Power Transfer with Multi-Transmitter

Cited 1 time in webofscience Cited 0 time in scopus
  • Hit : 527
  • Download : 0
The wireless charging pad with multiple transmitter (TX) coils has the advantage of solving the misalignment problem, high efficiency, and low leakage magnetic field. However, since the multi-TX wireless power transfer(WPT) system has coupling coefficients between TX coils, kTX. It changes the resonance point of the TX and causes a problem in that efficiency and power delivered to the receiver are drastically reduced. This paper analyzes the effect of kTX according to the operation of the TX coils and proposes an arrangement method by Deep Learning model that makes kTX to zero. A learning model is constructed using Deep Neural Network, and the model can output the distance where kTX can become zero when the coil specification is input.
Publisher
Institute of Electrical and Electronics Engineers Inc.
Issue Date
2022-07
Language
English
Citation

2022 Wireless Power Week, WPW 2022, pp.443 - 447

DOI
10.1109/WPW54272.2022.9853954
URI
http://hdl.handle.net/10203/299038
Appears in Collection
RIMS Conference PapersGT-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.
This item is cited by other documents in WoS
⊙ Detail Information in WoSⓡ Click to see webofscience_button
⊙ Cited 1 items in WoS Click to see citing articles in records_button

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0