Analysis on Influences of Intra-Couplings in a MISO Magnetic Beamforming Wireless Power Transfer System

Abstract

Magnetic beamforming techniques can enhance the power transfer efficiency using focused magnetic fields by the multiple transmitters to the receivers. However, the intra-couplings that cause power leakage and phase distortion among the arrayed coils inevitably occur due to the deployment of coils having strong couplings between each other. Here, we analyze the adverse influences of intra-couplings and present the advantages of magnetically independent transmitters for multiple-inputs and single-output (MISO) WPT. The independent coil array can achieve focused magnetic fields by simply adjusting the amplitude of the transmitter voltage source without phase adjustment. The system also can eliminate the reactive power with the independent coil array to efficiently use the supplying power from the source. The analytical studies are verified by numerical and circuit simulation and experiments. Our analysis can be generalized to the MISO-WPT with an arbitrary number of transmitters. It can provide insight into designing and implementing the MISO-WPT applying magnetic beamforming.

1. Introduction

Wireless power transfer (WPT) has attracted much attention from academia and industry: electric vehicle [1,2,3,4], biomedical device [5,6], wireless powered communication network (WPCN) [7], and unmanned aerial vehicle (UAV) [8]. Recently, most WPT systems use a magnetic field as a medium for transferring power due to the advantages of simple structure and safety for human exposure. However, the magnetic field-based WPT only provides a narrow charging range of less than a few millimeters. This drawback is caused by a characteristic of a magnetic field whose magnitude sharply attenuates as the field propagates into the air. Studies have been conducted using other media such as radio frequency (RF), ultrasound, and laser to expand the charging range. However, these studies have not been popularized because the safety for human exposure is not sufficiently assured [9].

For this reason, studies for improving magnetic field-based WPT have been carried out: a coupled theory with magnetic resonant coil [10], magnetic relay [11], and an optimally shaped dipole coil [12]. Although the above studies achieved outstanding results, the applicable industries were limited due to the massive size of the coil. Another solution to improve the magnetic field-based WPT’s efficiency and charging range is deploying a transmitter array configured as multiple coils [13]. Meanwhile, based on the arrangement of multiple coils, studies have been conducted to optimize this configuration. One of them is magnetic beamforming inspired by multiple-inputs and multiple-outputs (MIMO) beamforming used in the RF communication field [14]. Magnetic beamforming is a promising technology that achieves the maximum PTE in the multiple-inputs and single-output (MISO) and MIMO-WPT by focusing the magnetic fields from the multiple transmitters to the receiver [15]. This focusing mechanism increases the amount of magnetic field passing through the receiver by constructive interference. Therefore, it induces a larger current in the receiver by Faraday’s law, delivering more power to the device. According to the authors of [14], a MISO-WPT with magnetic beamforming (named “MagMIMO” in [14]) achieves a PTE of 87% at a charging distance of 2 cm and a PTE of 11% at a maximum charging distance of 40 cm, whereas other commercial wireless chargers have a PTE of about 8–90% at a maximum charging distance under 2 cm.

However, due to multiple coils configuration for magnetic beamforming, the intra-couplings of transmitter array inevitably occur. This phenomenon is shown in Figure 1 that describes the WPT configurations: (a) SISO-WPT, (b) MISO-WPT, (c) SISO-WPT with field analysis when the transmitter is powered, and (d) MISO-WPT with field analysis when the transmitter 2 is powered. Compared with the SISO-WPT of Figure 1a having only a magnetic coupling $k_{TR}$ between the transmitter and the receiver, the MISO-WPT of Figure 1b has additional intra-couplings $k_T$ in the transmitter array. As shown in Figure 1c, the magnetic field from the transmitter propagating to the receiver induces a voltage and a current at the receiver. However, in the case of the MISO-WPT, the magnetic field is also transferred to the other transmitters, as shown in Figure 1d. For this reason, many studies have been carried out from various perspectives to analyze the effect of the intra-couplings on the WPT: a leakage magnetic field [16], an efficiency attenuation [17], and multiple resonant frequencies [13]. As in the above studies, the adverse effects of the intra-coupling to the WPT have been mainly reported. Various studies have been conducted to reduce or eliminate the intra-coupling. The intra-coupling can be reduced by physical principles using unique structures and materials such as three-dimensional coil array [18], heterogeneous coil array [19], magnetic coupling shield ring [20], high permeability materials [21], and overlapped coil array [22]. Additionally, tuning resonance capacitance can make the transmitter array magnetically independent by compensating the intra-coupling [23].

Most of the studies above provided effective methods to eliminate the intra-couplings. However, the analysis on the intra-coupling from viewpoints of applying magnetic beamforming to MISO-WPT has not yet been analyzed. Accordingly, this paper analyzes the intra-couplings of transmitter array theoretically and experimentally in terms of magnetic beamforming.

The remainder of the paper is organized as follows. In Section 2, we provide a theoretical background for this work. In Section 3, we provide the theoretical analysis about the intra-couplings of the transmitters: (1) the adverse influences and (2) advantages after elimination. In Section 4, simulation and experiments are performed to verify the theoretical analysis, and the results are provided. The advantages of magnetically independent transmitters in terms of implementation are also derived in Section 4. Conclusions are described in Section 5.

2. Theoretical Backgrounds

2.1. Magnetic Field-Based WPT

Figure 2 shows a typical structure of a magnetic field-based WPT. The alternating current (AC) excites a transmitter coil $L_T$, causing a time-varying magnetic field into the air. When a portion of the magnetic field penetrates a receiver coil $L_R$, a magnetic coupling occurs as shown in Figure 1c, which causes the power to be transferred wirelessly. Based on this mechanism, the PTE depends on the magnetic coupling strength between the transmitter and the receiver.

The compensation topologies on both sides make the transmitter and receiver resonate at an identical resonant frequency. This resonance minimizes the power supply’s switching losses and volt-ampere (VA) rating [24] and improves the PTE [25,26]. In the receiver, an AC-DC rectifier is inserted to convert AC to direct current (DC). In the remainder of this paper, WPT refers to the magnetic-based WPT shown in Figure 2.

2.2. Circuit Modeling for Single-Input and Single-Output (SISO)-WPT

Figure 3 illustrates a circuit modeling of SISO-WPT: (a) a simplified circuit and (b) an equivalent circuit at magnetic resonance. As shown in Figure 3a, the transmitter consists of an inductance $L_T$, a winding resistance $R_T$, a resonant capacitance $C_T$, and a transmitter voltage $V_T$. The receiver consists of an inductance $L_R$, a winding resistance $R_R$, a resonant capacitance $C_R$, and a load impedance $R_L$, where $R_L$ includes an AC-DC rectifier and a load in Figure 2. Both sides are magnetically coupled via a mutual inductance M defined as $M=k\sqrt{L_T{L}_R}$. k is a coupling coefficient between 0 and 1 determined by a relative distance between $L_T$ and $L_R$. Based on Kirchhoff’s voltage law (KVL), two equations describing Figure 3a are obtained:

$$j\omega M{I}_T=I_R(R_R+j\omega L_R+\frac{1}{j\omega C_R}+R_L),$$

(1)

$$V_T=I_T(j\omega L_T+\frac{1}{j\omega C_T}+R_T)-j\omega M{I}_R,$$

(2)

where $\omega$ is an angular frequency, and $I_T$ and $I_R$ are a transmitter and receiver current, respectively.

Figure 3b illustrates an equivalent circuit of the SISO-WPT at the resonant frequency ${\omega }_r$ that satisfies ${\omega }_r=1/\sqrt{L_T{C}_T}=1/\sqrt{L_R{C}_R}$. At ${\omega }_r$, L and C are eliminated, and the influences on the transmitter and the receiver via the mutual inductance M are as follows: the influence from the transmitter to the receiver is modeled as a current-controlled voltage source $V_R^{SISO}$, while the influence from the receiver to the transmitter is modeled as a variable reflected impedance $Z_T^R$. Here, $V_R^{SISO}$ and $Z_T^R$ are given by

$$V_R^{SISO}=j{\omega }_{r}M{I}_T,$$

(3)

$$Z_T^R=\frac{{\left({\omega }_{r}M\right)}^2}{Z_R^{in}},$$

(4)

where $Z_R^{in}$ is an input impedance of the receiver seen from $V_R^{SISO}$ (i.e., $Z_R^{in}=R_R+R_L$).

The PTE ${\eta }_{SISO}$ is defined as the output power $P_L$ at the load impedance $R_L$ divided by the input power $P_{in}$ supplied from $V_T$, as shown in Figure 3a (i.e., ${\eta }_{SISO}=\frac{P_L}{P_{in}}$). ${\eta }_{SISO}$ is calculated by an equivalent circuit of Figure 3b. In Figure 3b, the PTE of transmitter and receiver, ${\eta }_T$ and ${\eta }_R$, respectively, are given by

$${\eta }_T=\frac{P_R}{P_{in}}=\frac{Re\left(Z_T^R\right)}{Re\left(Z_T^{in}\right)}=\frac{Re\left(Z_T^R\right)}{R_T+Re\left(Z_T^R\right)},$$

(5)

$${\eta }_R=\frac{P_L}{P_R}=\frac{R_L}{Re\left(Z_R^{in}\right)}=\frac{R_L}{R_R+R_L}.$$

(6)

$Z_T^{in}$ is the input impedances seen from $V_T$, as shown in Figure 3b. At the resonant frequency ${\omega }_r$, $Z_T^R$ is a real value by Equation (4) and therefore $Z_T^{in}$ is also a real value. Accordingly, ${\eta }_{SISO}$ at ${\omega }_r$ is calculated as the product of ${\eta }_T$ and ${\eta }_R$:

$${\eta }_{SISO}={\eta }_T{\eta }_R=\frac{Z_T^R}{R_T+Z_T^R}\frac{R_L}{R_R+R_L}.$$

(7)

Equation (7) indicates the correlation between the magnetic coupling strength between the transmitter and receiver and the PTE ${\eta }_{SISO}$. As the charging distance becomes shorter, the magnetic coupling between the two coils stronger, which increases the value of M and $Z_T^R$. The increased $Z_T^R$ increases ${\eta }_T$, which finally increases ${\eta }_{SISO}$.

2.3. Circuit Modeling of Multiple-Inputs and Single-Output (MISO)-WPT

Figure 4 illustrates a circuit modeling of MISO-WPT configured as N transmitters and a single receiver: (a) a simplified circuit and (b) an equivalent circuit at ${\omega }_r$. L, R, C, V, I, and P with a subscript $Ti$ indicate the inductance, resistance, capacitance, voltage, current, and power of the i-th transmitter, respectively. Contrary to the SISO-WPT, there are two types of mutual inductances in the MISO-WPT: $M_{iR}$ between $L_{Ti}$ and $L_R$, and $M_{Tiu}$ ($i\ne u$) between $L_{Ti}$ and $L_{Tu}$. k is represented by the identical subscript used for M (i.e., $k_{iR}$ and $k_{Tiu}$). $M_{Tiu}$ and $k_{Tiu}$ indicate the strength of intra-couplings in the transmitter array. Based on Equations (1) and (2), two equations are derived for describing the MISO-WPT at ${\omega }_r$ as follows:

$$\overrightarrow{{\mathbf{V}}_{\mathbf{T}}}=\left({\mathbf{Z}}_{\mathbf{T}}+\frac{{{\omega }_r}^2{\overrightarrow{\mathbf{M}}}^T\overrightarrow{\mathbf{M}}}{Z_R^{in}}\right)\overrightarrow{{\mathbf{I}}_{\mathbf{T}}},$$

(8)

$$I_R=\overrightarrow{\mathbf{H}}\overrightarrow{{\mathbf{I}}_{\mathbf{T}}}=\frac{j{\omega }_r\overrightarrow{\mathbf{M}}}{Z_R^{in}}\overrightarrow{{\mathbf{I}}_{\mathbf{T}}},$$

(9)

where vector and matrix denotations are listed in

Table 1. Vector and matrix denotations for MISO-WPT.

Symbol	Definition	Description
N	Number of transmitters
$\overrightarrow{{\mathbf{I}}_{\mathbf{T}}}$	${[I_{T1}{I}_{T2}\cdots I_{TN}]}^T$	Set of transmitter current
$\overrightarrow{{\mathbf{V}}_{\mathbf{T}}}$	${[V_{T1}{I}_{V2}\cdots V_{TN}]}^T$	Set of transmitter voltage
${\mathbf{Z}}_{\mathbf{T}}$	$\left[\begin{array}{cccc}{R}_{T1}& j\omega M_{T12}& \cdots & j\omega M_{T1N}\\ j\omega M_{T21}& R_{T2}& \cdots & j\omega M_{T2N}\\ ⋮& ⋮& \ddots & ⋮\\ j\omega M_{TN1}& j\omega M_{TN2}& \cdots & R_{TN}\end{array}\right]$	Resistance and mutual inductance in transmitter array
$\overrightarrow{\mathbf{M}}$	$[M_{1R}{M}_{2R}\cdots M_{NR}]$	Mutual inductance between transmitter array and receiver
$\overrightarrow{\mathbf{H}}$	$j{\omega }_r\overrightarrow{\mathbf{M}}/Z_R^{in}$	Magnetic channel connecting transmitter and receiver current

.

Figure 4b illustrates an equivalent circuit of the i-th transmitter and receiver of the MISO-WPT at ${\omega }_r$. In view of each transmitter, the influences from a receiver and other $N-1$ transmitters at ${\omega }_r$ are modeled as a reflected impedance $Z_{Ti}^R$ due to $M_{iR}$ and reflected impedance $Z_{Ti}^T$ due to $M_{Tiu}$. Here, $Z_{Ti}^R$ and $Z_{Ti}^T$ are expressed as

$$Z_{Ti}^R=\frac{{\omega }_r^2}{Z_R^{in}}\frac{M_{iR}}{I_{Ti}}\left(\sum _{u=1}^N{M}_{uR}{I}_{Tu}\right),$$

(10)

$$Z_{Ti}^T=\frac{j{\omega }_r}{I_{Ti}}\left(\sum _{v=1,v\ne i}^N{M}_{Tiv}{I}_{Tv}\right).$$

(11)

Based on Equation (3), the current-controlled voltage source $V_R^{MISO}$ at the receiver is expressed as $V_R^{MISO}=j{\omega }_r\overrightarrow{\mathbf{M}}\overrightarrow{{\mathbf{I}}_{\mathbf{T}}}$, which implies that all transmitter currents affect $V_R^{MISO}$ through the mutual inductance $\overrightarrow{\mathbf{M}}$.

As shown in Figure 4a, the PTE ${\eta }_{MISO}$ is defined as $P_L/P_{in}$, where $P_{in}$ is sum of supplied power from the voltage source $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}}$ (i.e., $P_{in}=P_{T1}^{in}+P_{T2}^{in}\cdots +P_{TN}^{in}$). However, calculating ${\eta }_{MISO}$ is rather complicated than ${\eta }_{SISO}$ of Equation (7). This is because the reflected impedance $Z_{Ti}^T$ and $Z_{Ti}^R$ are complex impedance as both impedances by Equations (10) and (11) are function of the transmitter current with an amplitude and a phase (i.e., $I_{Ti}=|I_{Ti}|\angle I_{Ti}$). Thus, as shown in Figure 4b, the input impedance $Z_{Ti}^{in}$ is a complex impedance, and the i-th transmitter’s PTE ${\eta }_{Ti}$ is given by

$${\eta }_{Ti}=\frac{P_{Ti}^R}{P_{Ti}^{in}}=\frac{Re\left(Z_{Ti}^R\right)}{Re\left(Z_{Ti}^{in}\right)}=\frac{Re\left(Z_{Ti}^R\right)}{R_{Ti}+Re\left(Z_{Ti}^T+Z_{Ti}^R\right)},$$

(12)

where $P_{Ti}^{in}$ and $P_{Ti}^R$ are the supplied power from $V_{Ti}$ and the transferred power to the receiver from i-th transmitter, respectively. The receiver’s PTE ${\eta }_R$ is identical to Equation (6).

Different from ${\eta }_{SISO}$, ${\eta }_{MISO}$ cannot be directly derived from the efficiency of transmitter and receiver. Therefore, ${\eta }_{MISO}$ is calculated by considering the power supplied from $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}}$. Based on the circuit theory, the phase of impedance $Z_{Ti}^{in}$ causes a phase deviation between $V_{Ti}$ and $I_{Ti}$, and the power supplied from $V_{Ti}$ is apparent power composed of both active and reactive power [27]. The power transferred and consumed at the load impedance is active power, while the power circulating without being consumed is reactive power. Accordingly, the PTE ${\eta }_{MISO}$ is calculated by considering only the active power as follows:

$${\eta }_{MISO}=\frac{P_L}{P_{in}}=\frac{{\left|I_R\right|}^2{R}_L}{{\sum }_{i=1}^{N}Re\left(V_{Ti}{I}_{Ti}*\right)}=\frac{{\left|I_R\right|}^2{R}_L}{{\sum }_{i=1}^N{\left|I_{Ti}\right|}^{2}Re\left(Z_{Ti}^{in}\right)},$$

(13)

where ∗ is a complex conjugate.

2.4. Introduction of Magnetic Beamforming

Magnetic beamforming accomplishes the maximum PTE of the WPT by focusing the magnetic fields from multiple transmitters to the receiver [14,15]. This scheme is applied by adjusting $\overrightarrow{{\mathbf{I}}_{\mathbf{T}}}$ and $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}}$ to the beamforming current $\overrightarrow{{\mathbf{I}}_{\mathbf{T}}^{\mathbf{bf}}}$ and voltage $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$. $\overrightarrow{{\mathbf{I}}_{\mathbf{T}}^{\mathbf{bf}}}$ and $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$ are derived as follows.

The principle is that the active power is distributed only at the resistance, not the capacitance and the inductance. In the MISO-WPT shown in Figure 4a, the total input active power $P_{in}$ supplied from $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}}$ is distributed at all resistances ${\mathbf{R}}_{\mathbf{T}}$ and $R_R^{in}$, where ${\mathbf{R}}_{\mathbf{T}}$ is $Re\left({\mathbf{Z}}_{\mathbf{T}}\right)$. The active power $P_T$ distributed at all N transmitters is given by $P_T=\overrightarrow{{\mathbf{I}}_{\mathbf{T}}}*{\mathbf{R}}_{\mathbf{T}}\overrightarrow{{\mathbf{I}}_{\mathbf{T}}}$. The active power $P_R$ distributed at the receiver is computed as $P_R={I_R}^2{R}_R^{in}$, where $R_R^{in}=Z_R^{in}$. Accordingly, the total input active power $P_{in}$ is the sum of $P_T$ and $P_R$:

$$P_{in}=P_T+P_R=\overrightarrow{{\mathbf{I}}_{\mathbf{T}}}*{\mathbf{R}}_{\mathbf{T}}\overrightarrow{{\mathbf{I}}_{\mathbf{T}}}+{I_R}^2{R}_R^{in}.$$

(14)

Substituting $I_R$ of Equations (9) into (14) yields

$$P_{in}=\overrightarrow{{\mathbf{I}}_{\mathbf{T}}}*{\mathbf{R}}_{\mathbf{T}}\overrightarrow{{\mathbf{I}}_{\mathbf{T}}}+R_R^{in}\overrightarrow{{\mathbf{I}}_{\mathbf{T}}}*\overrightarrow{\mathbf{H}}*\overrightarrow{\mathbf{H}}\overrightarrow{{\mathbf{I}}_{\mathbf{T}}},$$

(15)

which implies that $P_{in}$ is a function of $\overrightarrow{{\mathbf{I}}_{\mathbf{T}}}$.

As explained, the beamforming current $\overrightarrow{{\mathbf{I}}_{\mathbf{T}}^{\mathbf{bf}}}$ maximizes the power transferred to the receiver $P_R$ when $P_{in}$ is fixed. Thus, $\overrightarrow{{\mathbf{I}}_{\mathbf{T}}^{\mathbf{bf}}}$ is given by $\overrightarrow{{\mathbf{I}}_{\mathbf{T}}^{\mathbf{bf}}}=argmax(R_R^{in}\overrightarrow{{\mathbf{I}}_{\mathbf{T}}}*\overrightarrow{\mathbf{H}}*\overrightarrow{\mathbf{H}}\overrightarrow{{\mathbf{I}}_{\mathbf{T}}})$. $\overrightarrow{{\mathbf{I}}_{\mathbf{T}}^{\mathbf{bf}}}$ is calculated via the optimization method as discussed in [15]:

$$\overrightarrow{{\mathbf{I}}_{\mathbf{T}}^{\mathbf{bf}}}=cmaxeig\left(\overrightarrow{\mathbf{H}}*\overrightarrow{\mathbf{H}}\right),$$

(16)

where $maxeig(\overrightarrow{\mathbf{H}}*\overrightarrow{\mathbf{H}})$ is an eigenvector ${\nu }_{max}$ of $\overrightarrow{\mathbf{H}}*\overrightarrow{\mathbf{H}}$ that corresponds to the largest real eigenvalue ${\lambda }_{max}$ of $\overrightarrow{\mathbf{H}}*\overrightarrow{\mathbf{H}}$ (i.e., $(\overrightarrow{\mathbf{H}}*\overrightarrow{\mathbf{H}}){\nu }_{max}={\lambda }_{max}{\nu }_{max}$), and a constant c is determined by $P_{in}$. Here, the beamforming voltage $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$ is given by substituting $\overrightarrow{{\mathbf{I}}_{\mathbf{T}}^{\mathbf{bf}}}$ into Equation (8). In summary, when $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}}$ is adjusted to $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$, the amplitude and phase of $\overrightarrow{{\mathbf{I}}_{\mathbf{T}}}$ are adjusted to $\overrightarrow{{\mathbf{I}}_{\mathbf{T}}^{\mathbf{bf}}}$ so that magnetic beamforming is applied to the WPT and the maximum PTE is achieved. Readers interested in the magnetic beamforming are encouraged to refer the papers of [14,15].

3. Theoretical Analysis on Influences of Intra-Couplings

In Section 3, we theoretically analyze the influences caused by the intra-couplings of MISO-WPT from viewpoints of magnetic beamforming. Through the analysis, we derive the advantages of magnetically independent transmitters (i.e., $M_{Tiu}$ and $k_{Tiu}$=0). For theoretical analysis, we first express $\overrightarrow{{\mathbf{I}}_{\mathbf{T}}^{\mathbf{bf}}}$ and $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$ as a function of $M_{iR}$ and $M_{Tiu}$. According to Equation (16), $\overrightarrow{{\mathbf{I}}_{\mathbf{T}}^{\mathbf{bf}}}$ of the MISO-WPT is obtained by ${\nu }_{max}$ and ${\lambda }_{max}$ of $\overrightarrow{\mathbf{H}}*\overrightarrow{\mathbf{H}}$. According to Equations (A8) and (A10) in Appendix A, we derive that ${\lambda }_{max}$ and ${\nu }_{max}$ of $\overrightarrow{\mathbf{H}}*\overrightarrow{\mathbf{H}}$ are

$${\lambda }_{max}=\sum _{i=1}^N{H_{iR}}^2=\sum _{i=1}^N{\left(\frac{\omega M_{iR}}{R_R^{in}}\right)}^2,$$

(17)

$${\nu }_{max}=d{\overrightarrow{\mathbf{M}}}^T,$$

(18)

where $H_{iR}$ is a magnetic channel between the i-th transmitter and receiver, and d is a constant for normalizing ${\nu }_{max}$ to a unit vector. By substituting ${\nu }_{max}$ of Equation (18) into (16), we obtain

$$\overrightarrow{{\mathbf{I}}_{\mathbf{T}}^{\mathbf{bf}}}=c^{\prime }{\overrightarrow{\mathbf{M}}}^T,$$

(19)

where a constant $c^{\prime }$ is computed as $c^{\prime }=cd$, which is determined by $P_{in}$.

Equation (19) directly provides information on the amplitude and phase of $\overrightarrow{{\mathbf{I}}_{\mathbf{T}}^{\mathbf{bf}}}$, denoted as $|I_{Ti}^{bf}|$ and $\angle \overrightarrow{{\mathbf{I}}_{\mathbf{T}}^{\mathbf{bf}}}$. The amplitude of each transmitter current is proportional to the mutual inductance between each transmitter and receiver (i.e., $I_{Ti}^{bf}\propto M_{Ti}$). All transmitter currents are in phase due to a positive value of the mutual inductance $\overrightarrow{\mathbf{M}}$. By substituting $\overrightarrow{{\mathbf{I}}_{\mathbf{T}}^{\mathbf{bf}}}$ of Equation (19) into Equation (8), we obtain

$$\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}=c^{\prime }\left[\begin{array}{c}{M}_{1R}\left(R_{T1}+\frac{{\omega }_r^2}{R_R^{in}}\sum _{h=1}^N{M_{hR}}^2+j{\omega }_r\sum _{u=1,u\ne 1}^N{M}_{T1u}\right)\\ M_{2R}\left(R_{T2}+\frac{{\omega }_r^2}{R_R^{in}}\sum _{h=1}^N{M_{hR}}^2+j{\omega }_r\sum _{u=1,u\ne 2}^N{M}_{T2u}\right)\\ ⋮\\ M_{NR}\left(R_{TN}+\frac{{\omega }_r^2}{R_R^{in}}\sum _{h=1}^N{M_{hR}}^2+j{\omega }_r\sum _{u=1,u\ne N}^N{M}_{TNu}\right)\end{array}\right].$$

(20)

From now on, the influences caused by the intra-couplings are theoretically analyzed based on derived $\overrightarrow{{\mathbf{I}}_{\mathbf{T}}^{\mathbf{bf}}}$ and $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$ by Equations (19) and (20).

3.1. Influences on Beamforming Voltage

The first influence is that the amplitude and phase of $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$, denoted as $|\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}|$ and $\angle \overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$, correspondingly increase as the strength of intra-couplings increases. It is verified by analyzing $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$ of Equation (20). According to Equation (19), $\overrightarrow{{\mathbf{I}}_{\mathbf{T}}^{\mathbf{bf}}}$ is determined as a function of $P_{in}$ and $\overrightarrow{\mathbf{M}}$, regardless of $M_{Tiu}$. This implies that $\overrightarrow{{\mathbf{I}}_{\mathbf{T}}^{\mathbf{bf}}}$ is fixed once the deployment of transmitter/receiver and $P_{in}$ is determined. On the other hand, an imaginary part of $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$ of Equation (20) is a function of $M_{Tiu}$ (i.e., $Im\left(V_{Ti}^{bf}\right)$=$c^{\prime }(j{\omega }_r$${\sum }_{u=1,u\ne i}^N{M}_{Tiu})$). This implies that $|\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}|$ and $\angle \overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$ increase as $M_{Tiu}$ increases, even though fixed $P_{in}$ and $\overrightarrow{{\mathbf{I}}_{\mathbf{T}}^{\mathbf{bf}}}$ are supplied. For this reason, each transmitter should deploy both the voltage amplifier and phase shifter with a wider control range as $M_{Tiu}$ increases. This requirement complicates the design of the transmitter, which may increase overall costs for the magnetic beamforming WPT system.

Conversely, $|\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}|$ and $\angle \overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$ reduce as $M_{Tiu}$ decreases. If the transmitters become magnetically independent (i.e., the intra-couplings are completely eliminated, $M_{Tiu}=0$), $|\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}|$ becomes independent of $M_{Tiu}$, and $\angle \overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$ becomes zero. This is derived by eliminating $M_{Tiu}$ in Equation (20) as follows:

$$\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}=c^{\prime }\left[\begin{array}{c}{M}_{1R}\left(R_{T1}+\frac{{\omega }_r^2}{R_R^{in}}\sum _{h=1}^N{M_{hR}}^2\right)\\ M_{2R}\left(R_{T2}+\frac{{\omega }_r^2}{R_R^{in}}\sum _{h=1}^N{M_{hR}}^2\right)\\ ⋮\\ M_{NR}\left(R_{TN}+\frac{{\omega }_r^2}{R_R^{in}}\sum _{h=1}^N{M_{hR}}^2\right)\end{array}\right].$$

(21)

Equation (21) indicates that magnetic beamforming is achieved by adjusting only the amplitude of the transmitter voltage when the transmitters are magnetically independent. In other words, the control variables for magnetic beamforming are reduced from two to one. For this reason, it is not necessary to deploy the complicated phase shifter in each transmitter, which makes the design of the transmitter much simpler. This is the first advantage of magnetically independent transmitters when applying magnetic beamforming to the WPT.

Furthermore, $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$ of Equation (21) becomes much simplified under an additional condition that all transmitters have identical winding resistance (i.e., $R_T=R_{T1}=R_{T2}\cdots =R_{TN}$). This is a reasonable assumption if the transmitter array is composed of an identical coil. In this case, the simplified $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$ is given by

$$\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}=c^{\prime \prime }{\overrightarrow{\mathbf{M}}}^T,$$

(22)

where a constant $c^{\prime \prime }$ is calculated by $c^{\prime \prime }=c^{\prime }/(R_T+{{\omega }_r}^2{\sum }_{h=1}^N{M_{hR}}^2/R_R^{in})$. By comparing Equations (20) and (22), $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$ becomes much simpler when the MISO-WPT satisfies the conditions that $M_{Tiu}=0$ and $R_T=R_{T1}=R_{T2}\cdots =R_{TN}$. That is, in this case, the MISO-WPT achieves magnetic beamforming by only estimating the mutual inductance $\overrightarrow{\mathbf{M}}$ and adjusting the amplitude of transmitter voltage $|\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}|$ without adjusting the angle of transmitter voltage $\angle \overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$. This becomes a significant advantage in designing an adaptive real-time MISO-WPT system with magnetic beamforming.

3.2. Influences on Power Factor

The second influence is that the power factor decreases as the intra-couplings of transmitter array increase when magnetic beamforming is applied. To explain this phenomenon, understanding the concept of “a complex power” described by “a power triangle” is necessary. Figure 5a is a power triangle describing the complex power $\mathbf{S}$, the active power P, the reactive power Q, and the power factor angle $\theta$, respectively. P is the actual power dissipated by the resistive load, while Q is a measure of the energy exchange between the source and the reactive part of the load [27,28]. The relationship between $\mathbf{S}$, P, and Q is $\mathbf{S}=P+jQ$, and the apparent power S is the absolute value of $\mathbf{S}$ (i.e., $S=\left|\mathbf{S}\right|$).

The power factor $PF$ is calculated by the ratio of P to the S (i.e., $PF=P/S=cos\theta$), and it is important in the AC power system as a measure of how efficiently power is being used [28]. The power triangle is similar to the impedance triangle, shown in Figure 5b, describing the relationship between the impedance Z, the resistance R, and the reactance X, respectively [27]. Both power and impedance have relationships: S, P, and Q are related to Z, R, and X, respectively. From now on, a subscript $Ti$ appended to $PF,S,P,Q$, and $\theta$ indicate the parameter of the i-th transmitter of MISO-WPT.

The influence of $M_{Tiu}$ on $PF$ is derived as follows. By substituting $\overrightarrow{{\mathbf{I}}_{\mathbf{T}}^{\mathbf{bf}}}$ of Equation (19) into Equations (10) and (11), $Z_{Ti}^R$ and $Z_{Ti}^T$ are given by

$$Z_{Ti}^R=\frac{{{\omega }_r}^2}{R_R^{in}}\left(\sum _{u=1}^N{M_{uR}}^2\right),$$

(23)

$$Z_{Ti}^T=\frac{j{\omega }_r}{M_{iR}}\left(\sum _{u=1,u\ne i}^N{M}_{Tiu}{M}_{uR}\right).$$

(24)

Equations (23) and (24) indicate that $Z_{Ti}^R$ and $Z_{Ti}^T$ become resistive and reactive load, respectively, as $M_{uR}$ and $M_{Tiu}$ are positive real values. That is, the input impedance of i-th transmitter $Z_{Ti}^{in}$ consists of two serially connected resistive load $R_{Ti}$ and $Z_{Ti}^R$, and one reactive load $Z_{Ti}^T$ (i.e., $Re\left(Z_{Ti}^{in}\right)=R_{Ti}+Z_{Ti}^R$ and $Im\left(Z_{Ti}^{in}\right)=Z_{Ti}^T$). Here, based on Figure 5b, the power factor of i-th transmitter $P{F}_{Ti}$ is given by

$$P{F}_{Ti}=cos{\theta }_{Ti}=cos\left[{tan}^{-1}\left(\frac{Im\left(Z_{Ti}^{in}\right)}{Re\left(Z_{Ti}^{in}\right)}\right)\right]=cos\left[{tan}^{-1}\left(\frac{Z_{Ti}^T}{R_{Ti}+Z_{Ti}^R}\right)\right].$$

(25)

Equation (25) indicates that ${\theta }_{Ti}$ approaches 90 degrees as $Z_{Ti}^T$ increases, which attenuates $P{F}_{Ti}$. That is, as shown in Figure 5b, an increase in $M_{Tiu}$ increases $Z_{Ti}^T$, which causes ${\theta }_{Ti}$ to increase. An increase in ${\theta }_{Ti}$ increases the reactive power $Q_{Ti}$ and the apparent power $S_{Ti}$, which causes attenuation of the power factor $P{F}_{Ti}$, as shown in Figure 5a.

For this reason, much apparent input power $S_{in}$ ($S_{in}=S_{in}^{T1}+S_{in}^{T2}+\cdots +S_{in}^{TN}$) is required as $M_{Tiu}$ increases when the magnetic beamforming is applied with the fixed $P_{in}$. Alternatively, when $S_{in}$ is fixed, less $P_{in}$ is supplied from the power supply as $M_{Tiu}$ increases. If the required $S_{in}$ exceeds the VA ratings, which is the maximum apparent power available by power supply, the system operation may become unstable because of an insufficient supply of reactive power [28].

Based on the above explanation, the second advantage of the magnetically independent transmitter is derived. A unity $P{F}_{Ti}$ is achieved as $Z_{Ti}^T$ and $Q_{Ti}$ are eliminated when the transmitters are magnetically independent. In this case, the apparent power supplied from the voltage source is identical to the active power (i.e., $S_{in}=P_{in}$). According to the work in [28], a high power factor is desirable in AC power systems to improve stability and efficiency and reduce costs. For this reason, it is necessary to reduce the intra-couplings of transmitter array when designing the MISO-WPT with magnetic beamforming. This advantage is essential in fields where a stable high power supply is required, such as electric vehicle charging.

3.3. Influences on Power Transfer Efficiency

It is expected that the intra-couplings $M_{Tiu}$ affect the PTE ${\eta }_{MISO}$ since ${\eta }_{Ti}$ has $Z_{Ti}^T$ in the denominator of Equation (12) which is a function of $M_{Tiu}$. However, in conclusion, the PTE ${\eta }_{MISO}$ is determined regardless of $M_{Tiu}$ under magnetic beamforming status. The reason is that the in-phase characteristic of beamforming current $\overrightarrow{{\mathbf{I}}_{\mathbf{T}}^{\mathbf{bf}}}$ makes the reflected impedance $Z_{Ti}^T$ a reactive load, as expressed in Equation (24). Therefore, ${\eta }_{Ti}$ under magnetic beamforming status is given by

$${\eta }_{Ti}=\frac{P_{Ti}^R}{P_{Ti}^{in}}=\frac{Re\left(Z_{Ti}^R\right)}{Re\left(Z_{Ti}^{in}\right)}=\frac{Z_{Ti}^R}{R_{Ti}+Z_{Ti}^R}.$$

(26)

Based on Equation (23), the reflected impedance $Z_{Ti}^R$ at each transmitter is identical when magnetic beamforming is applied (i.e., $Z_T^R=Z_{T1}^R=Z_{T2}^R\cdots =Z_{TN}^R$), which makes the PTE of each transmitter is identical (i.e., ${\eta }_T={\eta }_{T1}={\eta }_{T2}\cdots ={\eta }_{TN})$. For this reason, when all winding resistance of transmitter is identical, the PTE ${\eta }_{MISO}$ under magnetic beamforming status is given by

$${\eta }_{MISO}=\frac{P_L}{P_{in}}={\eta }_T{\eta }_R=\frac{Z_T^R}{R_T+Z_T^R}\frac{R_L}{R_R+R_L}.$$

(27)

In summary, Equation (27) implies that ${\eta }_{MISO}$ under magnetic beamforming can be simply calculated by multiplying the efficiency of any transmitter and receiver, and ${\eta }_{MISO}$ is determined regardless of the intra-couplings of transmitter array.

4. Verification via Simulation and Experiment

Thus far, the influences of the intra-couplings of transmitter array and the advantages of magnetically independent transmitters have been analyzed theoretically. In this section, MATLAB/SPICE simulation and experiment are carried out, and the results are analyzed and compared. Based on the results, we verify the superiority of magnetically independent transmitters from various viewpoints. The MISO-WPT with two transmitters and one receiver is adopted for the simulation and experiment.

4.1. Simulation and Experiment Setting

Figure 6 describes the circuit designs of transmitter and receiver for the simulation and experiment. The requirements of the transmitter used for magnetic beamforming are as follows: (1) it can easily adjust the amplitude and phase of the transmitter voltage, and (2) it can flow a large current. As shown in Figure 6a,b, we adopt a class-D amplifier satisfying the above requirements as the transmitter, and we deploy an AC-DC full-bridge rectifier in the receiver to convert AC to DC.

Our designed WPT system operates as follows. As shown in Figure 6a, the class-D amplifier composed of two field-effect transistors (FETs) operates as a voltage source where the output is a square wave voltage. The two FETs are turned on and off complementarily with a duty ratio of 50% by an inverter and a square wave voltage $V_{pulse}$. The amplitude of $V_{pulse}$ should be higher than a gate-source threshold voltage of the FET to function the FET as a switch. The frequency $f_{pulse}$ of $V_{pulse}$ is chosen identical to the resonant frequency $f_r$ determined by $L_{Ti}$ and $C_{Ti}$. A DC voltage source $V_{Ti-DC}$ connected at a drain of upper FET is a DC power supply to flow the transmitter current. After applying $V_{Ti-DC}$ and $V_{pulse}$, a square wave output voltage $V_{Ti-in}$ where the amplitude and the frequency are $V_{Ti-DC}$ and $f_{pulse}$ is generated at point O of Figure 6a. Next, the generated $V_{Ti-in}$ passes through a series $LC$ filter composed of $L_{Ti}$ and $C_{Ti}$. As $f_{pulse}$ is identical as $f_r$, a sine wave having the amplitude is $2V_{Ti-DC}/\pi$ and the frequency is $f_{pulse}$, a first harmonic of $V_{Ti-in}$, passes through the $LC$ filter. Figure 6c is an equivalent circuit of class-D amplifier explained above. On the receiver side shown in Figure 6b, an AC-DC full-bridge rectifier and a smoothing capacitance $C_S$ are deployed to supply DC to the load impedance $R_L$. Figure 7 shows implemented circuits of transmitter and receiver based on Figure 6.

The elements used for the simulation and experiment are as follows. As a switch in the class-D amplifier, an EPC2001 FET of Efficient Power Conversion (EPC) is used. This FET made of gallium nitride (GaN) can flow a large current and operate at the high-frequency [29]. The full-bridge AC-DC rectifier is composed of RBR2LAM60A, a Schottky diode of ROHM. This diode provides better efficiency due to its lower forward voltage drop of 0.65 V and fast-recovery characteristic. The inductance $L_{Ti}$ and $L_R$ are manufactured using hollow copper tubes in a spiral shape. The outer and inner diameter of $L_{Ti}$ and $L_R$ is 27.5 cm and 17.5 cm. The self-inductance value is 7.4 $\mathsf{\mu }$H, which is measured by the network analyzer E5061B of Keysight.

For the experiment, we choose the overlapping method among the methods introduced in Section 1 to adjust the strength of intra-couplings. This is because the overlapping method can easily adjust the strength of intra-couplings without affecting other parameters and realizes without additional active devices and power supplies [22]. Figure 8 shows an adjustment of coupling coefficient $k_{T12}$ between transmitters by the overlapping method. It is verified by the network analyzer that $k_{T12}$ is adjusted from 0 to 0.06 ($M_{T12}$ is adjusted from 0 to 0.44 $\mathsf{\mu }$H). Figure 9 shows the transmitter array and receiver deployed for the experiment. The parameter values are listed in

Table 2. Parameters for the simulation and experiment.

Symbol	Value	Description
$R_{Ti},R_R$	$1\mathsf{\Omega }$	Winding resistance of inductance $L_{Ti},L_R$
$R_L$	$5\mathsf{\Omega }$	Load impedance indicating the device to be charged
$C_{Ti},C_R$	3.4 nF	Capacitance for resonance at 1 MHz
$L_{Ti},L_R$	$7.4\mathsf{\mu }$H	Inductance of transmitter and receiver
$C_S$	$13.2\mathsf{\mu }$F	Smoothing capacitance in receiver
$f_r$	1 MHz	Resonant frequency
$k_{1R},k_{2R}$	$0.024$	Coupling coefficient between each transmitter and receiver
$M_{1R},M_{2R}$	$0.178\mathsf{\mu }$H	Mutual inductance between each transmitter and receiver
$k_{T12}$	0∼0.06	Coupling coefficient in transmitter array
$M_{T12}$	0∼0.44 $\mathsf{\mu }$H	Mutual inductance in transmitter array

.

4.2. Simulation and Experiment Results

MATLAB simulation is carried out based on the equations in Section 2 and Section 3 using the parameters in Table 2. It provides the theoretical analysis of the designed MISO-WPT with magnetic beamforming. The SPICE simulation and experiment are carried out based on the circuits shown in Figure 6 and Figure 7. Both simulation and experiment are carried out under two conditions where the input active power $P_{in}$ and input apparent power $S_{in}$ (i.e., $P_{in}=P_{in}^{T1}+P_{in}^{T2}$ and $S_{in}=S_{in}^{T1}+S_{in}^{T2}$) are fixed at specific values.

4.2.1. Fixed $P_{in}$ at 5 W

The condition of fixed input active power $P_{in}$ indicates that the power supply always supplies the constant $P_{in}$ regardless of the input apparent power $S_{in}$ and the input reactive power $Q_{in}$. For the simple analysis, we set $P_{in}$ at 5 W. Figure 10 plots $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$ calculated by Equation (20) with parameters in Table 2 and 5 W $P_{in}$: (a) the amplitude $|V_{Ti}^{bf}|$ and (b) the phase $\angle V_{Ti}^{bf}$. As shown in Figure 9, the magnetic coupling strength between each transmitter and receiver is identical (i.e., $k_{1R}=k_{2R}$, $M_{1R}=M_{2R}$) due to its symmetrical deployment. For this reason, each transmitter has an identical beamforming current and voltage (i.e., $V_{T1}^{bf}=V_{T2}^{bf}$ and $I_{T1}^{bf}=I_{T2}^{bf}$). As shown in Figure 10, $|V_{Ti}^{bf}|$ and $\angle V_{Ti}^{bf}$ increase as $k_{T12}$ increases. $\angle V_{Ti}^{bf}$ is 0 degrees when the transmitters are magnetically independent, which implies that the phase adjustment is unnecessary in this case. The results in Figure 10 are used as input variables for the voltage source of the simulation and experiment.

Figure 11 plots $\overrightarrow{{\mathbf{I}}_{\mathbf{T}}^{\mathbf{bf}}}$ and $I_R$ after applying $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$: (a) $|I_{Ti}^{bf}|$ and (b) $|I_R|$. MATLAB results are plotted using Equations (9) and (19). As shown in Figure 11, MATLAB results of $|I_{Ti}^{bf}|$ and $|I_R|$ are constant at about 1.9 A and 0.7 A, even though $|V_{Ti}^{bf}|$ increases as $k_{T12}$ increases. This is because $\overrightarrow{{\mathbf{I}}_{\mathbf{T}}^{\mathbf{bf}}}$ is determined regardless of $k_{T12}$ according to Equation (19). SPICE and experimental results also plot identical tendencies. Note that although the experimental results of $I_{T1}^{bf}$ and $I_{T2}^{bf}$ are different due to measurement error, product tolerance, and parasitic components of elements, the difference is negligible. Based on the above results, it is verified that $k_{T12}$ inhibits the increase in $\overrightarrow{{\mathbf{I}}_{\mathbf{T}}^{\mathbf{bf}}}$ even if $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$ increases.

Figure 12 plots the results after applying $\stackrel{⊒}{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$: (a) the input active power $P_{in}$, (b) the power to the load $P_L$, and (c) the PTE ${\eta }_{MISO}$. MATLAB results of $P_L$ and ${\eta }_{MISO}$, calculated using Equation (13), are constant at 1.2 W $P_L$ and 24% ${\eta }_{MISO}$ regardless of $k_{T12}$. These results are theoretical maximum values as magnetic beamforming achieves the maximum PTE, as explained in Section 2.4. SPICE and experimental results plot identical tendencies, although there are slight attenuations of about 0.4 W $P_L$ and 9% PTE compared to MATLAB results. These attenuations are caused by parasitic components of elements used in SPICE and experiment, such as the forward voltage drop of a diode and turn-on resistance of a FET.

Based on the above results, $\overrightarrow{{\mathbf{I}}_{\mathbf{T}}^{\mathbf{bf}}}$ and ${\eta }_{MISO}$ remain constant even if $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$ increases as $k_{T12}$ increases. The result of the increased voltage is verified by apparent power, reactive power, and power factor. Figure 13 plots the results after applying $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$: (a) the input apparent power $S_{in}$, (b) the input reactive power $Q_{in}$, and (c) the power factor $P{F}_{in}$. $S_{in}$ and $Q_{in}$ are the sums of apparent and reactive power from $V_{T1-DC}$ and $V_{T2-DC}$, and $P{F}_{in}$ is given by $P{F}_{in}=P_{in}/S_{in}$. MATLAB results of $P{F}_{in}$ are plotted by Equation (25). As shown in Figure 13a,b, $S_{in}$ and $Q_{in}$ increase as $k_{T12}$ increases. When $k_{T12}$ is 0.06, approximately 11 VA $S_{in}$ and 10 VAR $Q_{in}$ should be supplied even if 5 W $P_{in}$ is constantly supplied from the power supply. These results indicate that the reactive power, not contributing to the active power, linearly increases as $k_{T12}$ increases, thereby increasing the apparent power required from the power supply. For this reason, $P{F}_{in}$ shown in Figure 13c sharply drops under 0.5 when $k_{T12}$ is 0.06.

4.2.2. Fixed $S_{in}$ at 5 VA

The previous simulation and experiment are carried out under the assumption that the power supply can supply an unlimited amount of apparent power. However, there is an upper limit on the maximum apparent power that the power supply can provide in practice called the VA rating. It is a unit concept mainly applied to electrical equipment such as a transformer, a power supply, and an uninterruptible power supply (UPS). Therefore, it is meaningful to analyze the influences of intra-couplings when the power supply operates maximally at the VA rating. For simplicity, we set the VA rating of the power supply as 5 VA, and the system operates at this VA rating (i.e., $S_{in}$ = 5 VA).

Figure 14 plots $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$ by Equation (20) when $S_{in}$ is fixed at 5 VA: (a) the amplitude $|V_{Ti}^{bf}|$ and (b) the phase $\angle V_{Ti}^{bf}$. Same as before, the results in Figure 14 are used as input variables for the voltage source of the simulation and experiment. By comparing Figure 10 and Figure 14, $\angle \overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$ of both results are identical. This is because the constant $c^{\prime }$ related to $P_{in}$ in Equation (20) is eliminated during the calculation for $\angle \overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$. On the other hand, $|V_{Ti}^{bf}|$ is varied by depending on whether the fixed $P_{in}$ or $S_{in}$. The following graphs are the results when the $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$ of Figure 14 is applied. Figure 15 plots the amplitude of currents: (a) $|I_{Ti}^{bf}|$ and (b) $|I_R|$. Figure 16 plots the results after applying $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$ of Figure 14: (a) the input active power $P_{in}$, (b) the power dissipated to the load $P_L$, and (c) the PTE ${\eta }_{MISO}$. Figure 17 plots the results: (a) the input apparent power $S_{in}$, (b) the input reactive power $Q_{in}$, and (c) the power factor $P{F}_{in}$.

As shown in Figure 15, $|I_{Ti}^{bf}|$ and $|I_R|$ linearly decrease as $k_{T12}$ increases from 0 to 0.06. These results are contrasted with the constant value of $|I_{Ti}^{bf}|$ and $|I_R|$ of Figure 11 when $P_{in}$ is fixed. This difference is because the increase in $k_{T12}$ generates the reactive power when the apparent power is fixed, which attenuates the active input power to the WPT system. This phenomenon is shown in the results of $P_{in}$, $S_{in}$, and $Q_{in}$ of Figure 16a and Figure 17a,b, respectively.

On the other hand, the MATLAB result of ${\eta }_{MISO}$ shown in Figure 16c plots a different tendency compared to SPICE and experimental results. MATLAB result of ${\eta }_{MISO}$ is constant at 24% regardless of $k_{T12}$, which is identical to the MATLAB result of ${\eta }_{MISO}$ when $P_{in}$ is fixed. It implies that the PTE is theoretically determined regardless of $P_{in}$ or $S_{in}$. However, SPICE and experimental results in Figure 16c attenuate by about 5% as $k_{T12}$ increases to 0.06, which is different from theoretical analysis. This ${\eta }_{MISO}$ attenuation is mainly caused by a 0.65 V forward voltage drop of the diode used in a full-bridge rectifier. Because the two diodes in the rectifier conduct each cycle, an approximately 1.3 V voltage drop occurs. As shown in Figure 15b, $|I_R|$ decreases as $k_{T12}$ increases which causes an induced voltage at the receiver to decrease. The greater ${\eta }_{MISO}$ drop occurs as the induced voltage is lower since an attenuation rate of voltage increases due to the fixed voltage drop of the diode. In the worst case, no power is delivered to the load when the induced voltage is lower than the threshold voltage of the diode. For the above reasons, an increase in $k_{T12}$ when the apparent power is fixed, ${\eta }_{MISO}$ decreases in practice.

As shown in Figure 17, the results of $S_{in}$, $Q_{in}$, and $P{F}_{in}$ show identical tendencies. As $k_{T12}$ increases to 0.06 while $S_{in}$ is supplied, $Q_{in}$ increases to about 4 VA and $P_{in}$ decreases to about 2.5 W. The decrease in $P_{in}$ causes $P{F}_{in}$ attenuation to about 0.5 as shown in Figure 17c.

4.3. Discussion

Thus far, the influences caused by the intra-couplings in the transmitter array under magnetic beamforming have been verified from various viewpoints. All the MATLAB, SPICE, and experimental results match well. Based on the results, the advantages of magnetically independent transmitters have been derived when $k_{T12}$ is 0 at all figures above: magnetic beamforming is achieved without adjusting the phase of the transmitter voltage, and the unity power factor is achieved by eliminating the reactive power. In addition, the maximum ${\eta }_{MISO}$ is achieved when the transmitters are magnetically independent under the fixed $S_{in}$. This is because $k_{T12}$ affects the PTE in this case due to the forward voltage drop of the diode.

4.3.1. Comparison to the State-of-the-Art in Terms of Power Factor Correction

The first advantage is that a simplified adjustment of $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$ is intuitively confirmed in Section 3. From now on, we compare the second advantage of a unity power factor to other studies.

Table 3. Existing WPT studies in terms of power factor correction.

Ref.	WPT Configuration	PFC Technique
[30,31,32,33]	SISO	Active—Front end rectifier
[34]	SISO	Active—Three phase rectifier
[35,36]	SISO	Active—Boost bridgeless rectifier
[37]	SISO	Active—Z-source converter
[38]	SISO	Passive—LCL toplology
[23]	SIMO	Active—Tuning resonance capacitance

is a list of the power factor correction technology used in the recent WPT studies. Active PFC refers to correct the power factor by placing active devices such as a FET, while passive PFC refers to place passive elements for correction. As listed in Table 3, the setups in [30,31,32,33,34,35,36,37] are carried out under the SISO-WPT configuration using an active PFC rectifier or converter, which requires an additional DC power. The work in [38] uses LCL-topology in the SISO-WPT configuration to achieve a unity power factor for electric-vehicle charging. However, the work in [38] is limited to the SISO-WPT, and it is not known how LCL-topology is affected to the intra-couplings when the WPT is configured as multiple transmitters. The work in [23] uses the SIMO-WPT configuration and eliminates the intra-couplings in the receiver array by tuning resonance capacitance, which improves both power factor and power transfer efficiency. However, it also requires an additional power supply to adjust resonance capacitance. Compared to the above results, our analysis is the only result of how the intra-couplings of the transmitter in the MISO-WPT affect the power factor. Furthermore, it is confirmed that the power factor improves by simply adjusting the arrangement of the transmitter array without the deployment of passive or active elements.

4.3.2. Advantages of Magnetically Independent Transmitters for Real-Life Scenarios

Based on the equations derived in Section 2 and Section 3, and the experimental results in Section 4, we draw specific advantages in terms of implementation to a real-life scenario: a MISO-WPT with magnetic beamforming for an electric vehicle (EV) charging. Figure 18 shows a concept of the MISO-WPT with magnetic beamforming for EV charging: (a) the fixed $P_{in}$ at 300 W when $k_T$ is 0.06, (b) the fixed $P_{in}$ at 300 W when $k_T$ is 0, and (c) the fixed $S_{in}$ at 300 VA when $k_T$ is 0.06. Other parameters are identical as in Table 2, except for $P_{in}$ and $S_{in}$. The simulation results of $|\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}|$, $\angle \overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$, $P_{in}$, $S_{in}$, $Q_{in}$, and $P_L$ are also denoted in Figure 18. As explained previously, the beamforming voltage $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$ is calculated by Equation (20) when the intra-couplings of transmitter array occur and by Equation (22) when the intra-couplings are eliminated. Equations (20) and (22) of $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$ are described as algorithms as shown in Figure 19a,b, respectively. These algorithms are executed at a microprocessor in the transmitter for magnetic beamforming, as shown in Figure 18.

As the algorithms should be continuously executed, the microprocessor is required at a certain level of performance. It is evident that the more complicated the algorithm, the higher the required microprocessor performance to be operated. In general, the efficiency of an algorithm is evaluated by its time complexity, and there are three types of time complexity: best, average, and worst case. Of the three types, the worst time complexity is expressed using “Big-O notation” that gives an upper bound on the resources required by an algorithm [39]. By analyzing both algorithms by Big-O notation, Figure 19a based on Equation (20) is $O\left(N^2\right)$ and Figure 19b based on Equation (22) is $O\left(N\right)$, where N is the number of transmitters. This indicates that as the number of transmitters increases, the time complexity of Equation (20) rapidly increases compared to Equation (22) when calculating $\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$. In other words, it indicates that the algorithm of Figure 19b can be implemented with a relatively low-power and low-performance microprocessor compared to the algorithm of Figure 19a. This is an advantage from a view of implementation cost when applying magnetically independent transmitters to the MISO-WPT with magnetic beamforming.

Other advantages are shown in Figure 18. Comparing Figure 18a,b when $P_{in}$ is fixed at 300 W, $|\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}|$ is varied as the intra-couplings $k_{T12}$ varies. $|\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}|$ is 45.5 V when $k_{T12}$ is 0.06, while 20.6 V when $k_{T12}$ is 0. In both cases, identical active power 73 W is transferred to the load. This result of increasing $|\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}|$ when $k_{T12}$ occurs is same when comparing Figure 18b,c when $S_{in}$ is fixed at 300 VA: $|\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}|$ is increased from 20.6 V to 30.6 V as $k_{T12}$ increases. The results indicate that $|\overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}|$ should be increased in the presence of the intra-couplings when supplying the same apparent or active power. Furthermore, the difference in voltage amplitude increases as the input power increases (in our previous experiment, the voltage difference when $P_{in}$ is fixed at 5 W is about 3 V, as shown in Figure 10a). This result indicates that a low-voltage operation is possible while supplying identical power when transmitters are magnetically independent. Owing to a low-voltage operation, it allows the designer to select elements or devices having a relatively low withstand voltage characteristic, thereby reducing the implementation cost.

In addition, an adjustment of $\angle \overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$ is not required when transmitters are magnetically independent, as shown in Figure 18b. About 60 degrees of $\angle \overrightarrow{{\mathbf{V}}_{\mathbf{T}}^{\mathbf{bf}}}$ adjustment is required when $k_{T12}$ is 0.06, as shown in Figure 18a,c. Due to this characteristic, it is not necessary to deploy a phase shifter in each transmitter, which leads to reduce implementation costs.

In summary, the advantages of magnetically independent transmitters in terms of implementation costs are as follows: (1) using a low-cost microprocessor is possible due to a reduced computational complexity, (2) using elements and devices having a low withstand voltage is possible due to a low voltage operation, and (3) there is no necessary to deploy a phase shifter in each transmitter.

5. Conclusions

This paper analyzes the influences caused by intra-couplings of the transmitter array in the MISO-WPT when applying magnetic beamforming. The theoretical analysis, MATLAB and SPICE simulation, and experiment are carried out under the conditions that the apparent power or active power is fixed at a specific value.

The influences caused by the intra-couplings are summarized as follows: (1) the intra-couplings cause amplitude and phase adjustment of a beamforming voltage, and (2) the intra-couplings cause power factor attenuation of each transmitter. Based on the analyses, the advantages when the transmitters become magnetically independent are derived: the magnetic beamforming is achieved by only adjusting the amplitude of transmitter voltage without phase adjustment, and the power factor becomes unity. These advantages are verified via SPICE simulation and experiment.

Our analysis provides a reason to consider the intra-couplings of transmitter array in the MISO-WPT. It contributes to simplifications of both the design and implementation procedures of a MISO-WPT applying magnetic beamforming. In addition, these results can be generalized for the MISO-WPT employing an arbitrary number of transmitters. It is expected that our analysis will play an essential role in the industries where WPT is essentially required, such as fields of the Internet of Things and electric vehicles. The efficient estimation of the magnetic channel, adaptive control of transmitters, and expansion of the MIMO-WPT are topics remaining for our future research.