Analysis and Optimization of Magnetically Coupled
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Transcript of Analysis and Optimization of Magnetically Coupled
8/12/2019 Analysis and Optimization of Magnetically Coupled
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IEEE TRANSACTIONS ON MAGNETICS, VOL. 48, NO. 11, NOVEMBER 2012 4511
Analysis and Optimization of Magnetically Coupled
Resonators for Wireless Power Transfer
Xiu Zhang, S. L. Ho, and W. N. Fu
Department of Electrical Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong
The technology of wireless power transfer has made a great contribution to the quality of life of many people, especially to those relyingon implantable devices in the past decades. In order to improve the performance of wireless power transfer systems, a dual-layer nestedoptimization method using differential evolution (DE) algorithm is proposed in this paper. In contrast to previous methods to derive thecompensated capacitance, this proposed method determines the capacitance values using optimization method. By testing a prototype,it is found that the proposed design can have much higher power transfer ef ficiency when compared to that of traditional method. The
dual-layer nested optimization method, based on the design constrains, is also used to determine the parameters of the coils to obtainthe maximum power transfer ef ficiency of the whole system. The result is validated using finite element method (FEM).
Index Terms— Capacitance, equivalent circuit, nested optimization method, power transfer ef ficiency, resonant frequency, wirelesspower transfer.
I. I NTRODUCTION
A CCORDING to a news report [1], the yearly revenues
of global medical device companies are in excess of
200 billion US dollars. Among these, implanted devices play
a large part because it can help to extend and improve the
patients’ quality of life. However, their applications are limited
by the batteries’ size, their longevity, and the frequency of re-
placements required. To address these issues, the technique of
wireless power transfer has been receiving increasing attention
worldwide.
Depending on the applications, the power requirement of
medical implanted devices can vary from a few microwatts to
tens of milliwatts [2], [3]. With non-transcutaneous wiring and
convenient charging features, wireless power transfer is oftenused in biomedical implanted devices to alleviate the trauma of
patients.
Hitherto, the most popular wireless power transfer technique
used in biomedical implanted devices is near-field inductive
coupling. Researches have indicated that if near-field techniques
are used and if the range of energy transfer distance is of the
order of tens of centimeters, the overall ef ficiency of the power
being transferred is only about 1%–2% [4].
In 2006, the magnetically coupled resonators were presented
for wireless power transfer. It now becomes possible to transmit
power ef ficiently at ranges longer than that realized using induc-
tive coupling schemes [5]. The wireless power transfer system
based on magnetic coupling resonators typically uses four coils,
two for input and two for output. The transmitter includes a
driver loop and a primary coil, the receiver includes a secondary
coil and a load loop as shown in Fig. 1(a). In this system, the
compensation capacitors are the key elements in addition to the
inductor coils to form the resonant system. Previous method to
determine the capacitance is based on the relationship of the
Manuscript received March 02, 2012; accepted April 05, 2012. Date of current version October 19, 2012. Corresponding author: X. Zhang (e-mail:[email protected]).
Color versions of one or more of the figures in this paper are available onlineat http://ieeexplore.ieee.org.
Digital Object Identifier 10.1109/TMAG.2012.2194731
Fig. 1. (a) Simplified schematic of the wireless power transfer system based onmagneticallycoupling resonator. and arethecouplingcoef ficients between each coil, respectively. (b) Equivalent circuit of this system.
inductance, the reflected mutual inductance and the resonance
frequency [6].
In this paper, a dual-layer nested optimization method using
differential evolution (DE) algorithm is applied to optimize the
wireless power system and finite element method (FEM) is used
to analyze the electromagnetic characteristics of the system to
evaluate its feasibility. The first layer (outer layer) to optimize
the parameters of the coils based on its simulation models, andthe second layer (internal layer) is to optimize the compensation
capacitances to evaluate the performance of the whole system.
It means that once the parameters of the inductor change, the
compensation capacitances should be optimized.
It can be seen in Fig. 3 that the optimal results reported by
fellow co-researchers are inferior to the results derived using
the proposed optimization method.
II. SYSTEM OVERVIEW AND CIRCUIT MODEL
In this paper, the equivalent circuit method is applied to ana-
lyze the wireless power transfer system. Fig. 1 shows the spec-
ified schematic and equivalent circuit of the wireless power
transfer system based on magnetically coupling resonator.
0018-9464/$31.00 © 2012 IEEE
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4512 IEEE TRANSACTIONS ON MAGNETICS, VOL. 48, NO. 11, NOVEMBER 2012
Fig. 2. Flowchart of the proposed optimization procedure.
Fig. 3. Power transfer ef ficiency versus different operating frequencies whenusing different capacitances.
As illustrated in Fig. 1(b), each coil is modeled as a distribu-
tive RLC network. Because the power transferred is a func-
tion of frequency, the operating frequency should be several
megahertz in order to obtain maximum power transferred ef-
ficiency [5]. In addition, it is essential to reduce the copper loss
in the coils in order to decrease the power dissipation and to
increase the power transferred ef ficiency. At high frequencies,
the resistances of the coils are greatly increased because of skin
effect and proximity effect. To mitigate against these effects,
multi-strand Litz wires are used [6].The self-inductance of one circular turn is calculated as [8]
(1)
where is the space permeability, and is the diameter of the
conductor wire , and is the diameter of one
turn.
The mutual inductance of two parallel single turns can be
approximated as [9]
(2)
where and are the wireradius ofthetwocoils; and arethe
respective relative distance and lateral misalignment between
the two coils, respectively; and are the zero- and first-
order Bessel functions, respectively. For perfectly aligned coils
, the above function can be simplified by
(3)
where , and and are
the complete elliptic integrals of the first and second kind, re-
spectively.
The stray capacitance of the coil is [6]
(4)
where and are the layer number, the turn number per
layer and the total number of the coil, respectively; is the par-asitic capacitance between two nearby turns in the same layer,
and is the parasitic capacitance between different layers as
expressed
(5)
(6)
where and are the average diameter of each
coil, wire radius, thickness, and relative permittivity of strand
insulation and separation between two layers, respectively.Considering the skin and proximity effect, the ac resistance
of coils can be expressed by
(7)
where is the frequency at which power dissipation is twice
the dc power dissipation and is given by
(8)
where and are the dc resistance of the coil, radius
of each single strand, number of strands per branch, and the area
ef ficiency of the branch, respectively.
The following matrix is derived by applying the circuit theory
to the system:
(9)
where for ; else
.
In order to obtain power transfer ef ficiency, the above matrix
equation is solved in the frequency domain and the ef ficiency is
taken as the objective function for optimization.
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ZHANG et al.: ANALYSIS AND OPTIMIZATION OF MAGNETICALLY COUPLED RESONATORS FOR WIRELESS POWER TRAN SFER 4513
TABLE IDESIGN CONSTRAINTS
TABLE IIPARAMETERS OF COILS FOR TEST
III. OPTIMIZING DESIGN AND A NALYSIS
In this paper, the differential evolution method is used to op-
timize the system. The procedure of the optimization process
includes two layers as shown in Fig. 2.
A. Design Constraints and Initial Values of Parameters
Considering the receiver is to be implanted in patients’ heads,
the size of the implantable receiver part should be as small as
possible. In this paper, the outer diameter of the receiver part
is chosen as 20 mm, while its height is 5 mm; the
transferred distance is 40 mm.
According to electromagnetic theory, to a circular coil, the
relationship of the magnetic-field strength and the distance
along the axis of the coil can be described as
(10)
where is the radius of the circular coil. From the above equa-
tion, it can be seen that can be maximized when ;
therefore, the outer diameter of the secondary coil can be chosen
from . The design constraints and initial valuesof the parameters are listed in Table I.
In this paper, a 22-strand Litz wire is used to construct the
four coils. The diameter of the wire is 1 mm, while the strand
radius is 0.04 mm.
B. Optimization for Compensated Capacitance
In order to validate the feasibility of the optimization method
to determine the compensated capacitance, the initial wireless
power transfer system before the inductor is optimized is used
as a reference for comparison.
In the test, the single copper wire is used to construct four
coils, and the parameters are listed in Table II.
The compensated capacitances obtained from the two dif-
ferent methods at 0.65 MHz are given in Table III.
TABLE IIICOMPENSATED CAPACITANCE VALUES FROM TWO METHODS
Fig.4. Effectof the numberof layers(primarycoilanddrive loop) tothe power
transfer ef ficiency.
Fig. 3 shows the power transfer ef ficiency as a function of
the operating frequencies based on the proposed optimization
method and the traditional compensated capacitance method.
From the results, it can be seen that the maximum power trans-
ferred ef ficiency from the optimization method is almost twice
of that obtained using traditional method.
From the curve of the result based on traditional method, it
can be seen that the power transferred ef ficiency reaches its
maximum value at about 0.8 MHz which is shifted from the
resonant frequency 0.65 MHz. On the contrary, the power trans-
ferred ef ficiency reaches its maximum value at the operating fre-
quency if optimal capacitance is used. This is another advantage
of using the optimization method rather than using the tradi-
tional method.
The result shows that the capacitance optimization method
is much better than the traditional capacitance method. It also
strongly proves the feasibility of this proposed method.
C. Optimization for Inductors
In order to get high coupling coef ficient, the drive loop is
wrapped over the primary coil, while the load loop is also
wrapped over the secondary coil. According to the design
constrains listed in Table I, the size of the receiver part is deter-mined first. The number of layers of the load loop is 1, while
the number of layers of the secondary coil is 6. The number of
turns of the load loop and secondary coil are both 5.
As shown in Table I, the numbers of turns of the transmitter
part (drive loop and primary coil) are both 10. The number of
layers of the drive loop and primary coil are parameters to be
optimized for maximum power transfer ef ficiency. From the re-
sults given in Fig. 4, it can be seen that power transfer ef ficiency
reaches its maximum value when the number of layers of the
drive loop and primary coil are both 3.
Secondly, Fig. 5 shows the effect of the number of turns of
the drive loop and primary coil for optimal power transfer ef fi-
ciency. When the turn numbers are both 10, the power transfer
ef ficiency reaches its maximum value (88.1%).
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4514 IEEE TRANSACTIONS ON MAGNETICS, VOL. 48, NO. 11, NOVEMBER 2012
Fig. 5. Effect of the number of turns (primary coil and drive loop) to the power transfer ef ficiency.
Fig. 6. Model of the wireless power transfer system.
Fig. 7. Distribution of magnetic flux linkage without optimization.
Then Fig. 6 is the model of wireless power transfer system
with the optimal parameters.
IV. VALIDATION USING FEM
All the parameters of the wireless power transfer are deter-
mined using optimization algorithm described. In order to vali-
date this system, the finite element method is applied to analyze
the system.
The distributions of magnetic flux linkage in the receiver part
are shown in Figs. 7 and 8, respectively. It is obvious that the
magnetic flux linkage in the receiver part is higher after opti-
mization.
Fig. 8. Distribution of magnetic flux linkage after optimization.
V. CONCLUSION
In this paper, a novel dual-layer nested optimization method
is proposed to optimize the wireless power transfer system. The
internal layer can determine the optimal values of capacitances.The outer layer optimizes the design parameters of the coils. A
higher power transfer ef ficiency is obtained using the proposed
optimization method when compared to the traditional method.
The maximum power transfer ef ficiency of 88.1% based on the
optimal parameters is nearly twice as high as that realized using
traditional methods.
ACKNOWLEDGMENT
This work was supported by the Research Grant Council of
the Hong Kong SAR Government under project PolyU 5184/
09E.
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