TY - JOUR

T1 - Model-Based Optimization of Spiral Coils for Improving Wireless Power Transfer

AU - Ben Fadhel, Yosra

AU - Bouattour, Ghada

AU - Bouchaala, Dhouha

AU - Derbel, Nabil

AU - Kanoun, Olfa

N1 - Funding Information: The authors acknowledge with thanks TU Chemnitz for the technical and financial support. Funding Information: This research has been funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) project number 491193532 and Chemnitz University of Technology. Publisher Copyright: © 2023 by the authors.

PY - 2023/10/1

Y1 - 2023/10/1

N2 - Inductive wireless power transfer is a promising technology for powering smart wearable devices. The spiral coil shape is widely used in wireless power transfer applications. Nevertheless, during the coil design process, there are many challenges to overcome considering all the design constraints. The most important is to determine the optimal coil parameters (internal radius, external radius, spacing, wire width, and conductive wire) with the aim of obtaining the highest coil quality factor. Coil modeling is very important for the wireless power transfer system’s efficiency. Indeed, it is challenging because it requires a high computational effort and has convergence problems. In this paper, we propose a new approach for the approximation of spiral coils through concentric circular turns to reduce the computational effort. The mathematical model determines the optimal coil parameters to obtain the highest coil quality factor. We have chosen the smart textile as an application. The system operates at a frequency of 100 Khz considering the (Formula presented.) guidelines. To validate this approach, we compared the approximated circular coil model with the spiral coil model through a finite element method simulation using the COMSOL software. The obtained results show that the proposed approximation reduces the complexity of the coil design process and performs well compared to the model corresponding to the spiral shape, without significantly modifying the coil inductance. For a wire width smaller than 1 mm, the total deviation is around 4% in terms of the coil quality factor in a predetermined domain of its parameters.

AB - Inductive wireless power transfer is a promising technology for powering smart wearable devices. The spiral coil shape is widely used in wireless power transfer applications. Nevertheless, during the coil design process, there are many challenges to overcome considering all the design constraints. The most important is to determine the optimal coil parameters (internal radius, external radius, spacing, wire width, and conductive wire) with the aim of obtaining the highest coil quality factor. Coil modeling is very important for the wireless power transfer system’s efficiency. Indeed, it is challenging because it requires a high computational effort and has convergence problems. In this paper, we propose a new approach for the approximation of spiral coils through concentric circular turns to reduce the computational effort. The mathematical model determines the optimal coil parameters to obtain the highest coil quality factor. We have chosen the smart textile as an application. The system operates at a frequency of 100 Khz considering the (Formula presented.) guidelines. To validate this approach, we compared the approximated circular coil model with the spiral coil model through a finite element method simulation using the COMSOL software. The obtained results show that the proposed approximation reduces the complexity of the coil design process and performs well compared to the model corresponding to the spiral shape, without significantly modifying the coil inductance. For a wire width smaller than 1 mm, the total deviation is around 4% in terms of the coil quality factor in a predetermined domain of its parameters.

KW - coil

KW - inductance

KW - magnetic resonant coupling

KW - quality factor

KW - resistance

KW - smart textile

KW - wireless power transfer

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85173871773&partnerID=8YFLogxK

U2 - 10.3390/en16196886

DO - 10.3390/en16196886

M3 - Journal articles

AN - SCOPUS:85173871773

VL - 16

JO - Energies

JF - Energies

SN - 1996-1073

IS - 19

M1 - 6886

ER -