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Purpose

This study aims to introduce an effective material to efficiently and accurately solve the eddy current problem in laminated iron cores considering circuit coupling.

Design/methodology/approach

In the first step, a representative cell problem is solved to obtain the complex-valued non-linear magnetic reluctivity. In the second step, this effective material is then used in a homogenised static magnetic field formulation and accurately approximates the eddy current losses and the reactive power as well as the corresponding distributions.

Findings

As a representative numerical example, a voltage-driven single-phase transformer is simulated with great success. The eddy current losses and the reactive power of the simulation using the standard finite element method and the simulation using the effective material agree very well and the required simulation time is tremendously reduced.

Originality/value

The presented approach uses an A-formulation with circuit coupling of voltage-driven excitation coils for an effective material to homogenise the core.

This work addresses the modelling of non-linear magnetic materials within the context of an eddy current problem (ECP) in electrical machines or transformers with laminated cores. Laminated iron cores are composed of insulated conducting sheets to minimise the eddy current loss (ECL). The present approach uses an A-formulation with circuit coupling of voltage-driven excitation coils for an effective material (EM) to homogenise the core. Contrary to the present work, the approach described in Hanser et al. (2024) is based on a T,Φ-Φ-formulation with current-driven coils.

The material modelling of non-oriented electrical steel sheets by a parametric magneto-dynamic model for hysteresis, is discussed in Petrun and Steentjes (2020). The EM theory, a well-established homogenisation technique, is frequently used for heterogeneous structures such as laminated iron cores (Tsukerman, 2021; Schöbinger et al., 2021).

Homogenisation techniques generally aim to preserve the physical nature of the problem (Tsukerman, 2021; Schöbinger et al., 2021). For example, early research on ECLs in non-linear sheets, both in one and two dimensions, is presented in Gyselinck et al. (1999). A time-domain homogenisation method for non-linear laminated iron cores is developed in Gyselinck et al. (2006) and applied in time-domain simulations. Another approach, which uses an anisotropic material tensor for low-frequency applications, is described in Kaimori et al. (2007). In Frljić and Trkulja (2020), a three-dimensional (3D) model is transformed into a corresponding two-dimensional (2D) slice, allowing eddy currents to be treated as 2D phenomena within laminations and enabling edge effects to be captured more accurately. A finite difference homogenisation method, incorporating rate-dependent hysteretic losses for one-dimensional cases, can be found in Bergqvist and Engdahl (2001). Losses in amorphous core transformers with anisotropic permeability, using the Bertotti model, are examined in Steinmetz et al. (2010). A homogenisation method for laminated ferromagnetic cores based on the heterogeneous multiscale method, which involves upscaling and downscaling to establish material relations between mesoscale and macroscale is presented in Niyonzima et al. (2013). A comparison of various approximation formulas for calculating ECLs and equivalent conductivities is shown in Bermudez et al. (2008).

In this work, an EM approach is used in terms of a complex-valued non-linear reluctivity νeff(|B|) within a static magnetic field problem (SMFP), while preserving the ECL and the reactive power (RP) of the original ECP. This EM approach eliminates the need for time-stepping schemes (Gyselinc et al., 1999; Gyselinc et al., 2006; Kaimor et al., 2007 Bergqvist and Engdahl, 2001; Steinmetz et al., 2010; Niyonzima et al., 2013; Bermudez et al., 2008; Bíró and Preis, 1995; Hanser et al., 2022; Hollaus, 2019) and harmonic balance methods (Hollaus, 2019; Ausserhofer et al., 2007). Moreover, this method enables the laminated core in 3D problems to be treated as a bulk domain. These advantages lead to substantial reduction in computational costs while maintaining accuracy.

In Section 2, the formulation of an ECP is presented using the finite element method (FEM) and is applied to a 3D reference solution (RS) of a laminated core excited by voltage-driven coils (Hollaus, 2019; Bíró et al., 2004). The one-dimensional cell problem (CP), which represents one sheet of the laminated core, is shown in Section 3. Using the calculated ECP and RP from both the reference and homogenised CP, a complex-valued effective reluctivity νeff(|B|) is defined. Unlike the approach in Schöbinger et al. (2021), which is based solely on the fundamental frequency of the fields, this solution incorporates harmonics using a time-stepping method. In contrast to the CP described in Hanser et al. (2024), where the excitation is provided by a magnetic field strength H0, in this work an averaged magnetic flux density Bp is prescribed. In comparison to the 3D RS in Section 2, this effective material is used in a SMFP, as described in Section 4. The simulation with the EM approach accurately approximates the ECL, the RP and the effective current in the steady state, while achieving a significant reduction in computational costs. In Section 5, the local distributions of ECL and RP are analysed and compared to the corresponding distributions in the reference problem. An approximation of the effective circuit currents is given in Section 6. Numerical examples presented in Section 7, which cover various saturation levels, geometric configurations and serial resistors, demonstrate the high accuracy and substantial computational savings of the proposed method. Conclusions are summarised in Section 8.

In the 3D reference problem, each sheet in the laminated core is modelled in the mesh, see Figure 1 (above).

Figure 1.
3D sketch illustrating different geometric regions labeled dimensions in a spatial context. The sketch above shows the geometry for the reference problem with the individual sheets and the one below shows geometry with the homogenised core.The image displays a three-dimensional diagram featuring two sets of geometric regions arranged in separate sections. The upper section showcases a combination of red structures and a blue semi-cylindrical shape labeled with the Greek letter Omega c. Dimensions are indicated along the coordinate axes x, y, and z, with specific radius annotations (ri,1, ri,2, ro,1, and ro,2). The lower section presents a green structure alongside another blue semi-cylindrical shape labeled with Omega m and Omega zero. The coordinate labels y1, y2, x0, x1, x2, and z2 are clearly marked, depicting a spatial arrangement that indicates the positioning and measurement of each region. The layout is organized to facilitate understanding of the relationships between the different geometric forms and their spatial context.

Geometry of the reference problem (above) with exciting coils (blue) and individual sheets (red) and of the homogenised problem (below) with a bulk medium (green), symmetries are used

Source: Authors’ own work

Figure 1.
3D sketch illustrating different geometric regions labeled dimensions in a spatial context. The sketch above shows the geometry for the reference problem with the individual sheets and the one below shows geometry with the homogenised core.The image displays a three-dimensional diagram featuring two sets of geometric regions arranged in separate sections. The upper section showcases a combination of red structures and a blue semi-cylindrical shape labeled with the Greek letter Omega c. Dimensions are indicated along the coordinate axes x, y, and z, with specific radius annotations (ri,1, ri,2, ro,1, and ro,2). The lower section presents a green structure alongside another blue semi-cylindrical shape labeled with Omega m and Omega zero. The coordinate labels y1, y2, x0, x1, x2, and z2 are clearly marked, depicting a spatial arrangement that indicates the positioning and measurement of each region. The layout is organized to facilitate understanding of the relationships between the different geometric forms and their spatial context.

Geometry of the reference problem (above) with exciting coils (blue) and individual sheets (red) and of the homogenised problem (below) with a bulk medium (green), symmetries are used

Source: Authors’ own work

Close modal

The boundary value problem (BVP) of the ECP is based on Maxwell’s equations:

where H is the magnetic field strength, B the magnetic flux density, E the electric field and J the eddy current density. With the electric conductivity σ, the magnetic reluctivity ν, the magnetic constitutive relation H=νB, Ohm’s law J=σE and the magnetic vector potential A, the BVP reads as:

(1a)
(1b)
(1)

where B=×A and a known source current density J0 are used. To couple voltage-driven coils with an ECP (1), the circuit coupling equation:

(2)

where Rs denotes a serial resistor, Φ(t) a magnetic flux and u0(t) an exciting voltage is introduced. With the unknown current i(t) and a normalised current density j0 resulting from an impressed unit current in the coils, the right hand side in (1a) is replaced by J0=ij0.

Applying the implicit Euler time-stepping scheme tu1Δt(uu^), where Δt denotes a time step and the hat symbol values of the previous time instant, the weak formulation of the 3D ECP with voltage-driven coils reads as:

Find (A,i)VD:={(A,i):AU,iR and A×n=0 on ΓB} such that

(3a)

and:

(3b)

for all (A,i)V0, where U is a finite element (FE) subspace of H(curl,Ω) (Hollaus, 2019; Bíró et al., 2004; Schöberl and Zaglmayr, 2005). Test functions are denoted by the prime symbol. The far boundary and the z=0 plane are considered as ΓB for the geometry in Figure 1 (above). The exciting coils driven by the volatage are part of Ω0 but do not need to be modelled in the FE mesh. The non-linear magnetic reluctivity ν(|B|) is treated according to Bíró and Preis (1995).

Although the relationships (4) and (5) are well known, they are given again for the sake of simplicity. To avoid the modelling of the exciting coils in the FE model, the normalised Biot–Savart field hBS with:

(4)

is used for the excitation of (3a), whereby the boundary term vanishes for the given example in Section 7. The normalised Biot–Savart field is used in (3b) for the circuit coupling too. The corresponding terms:

(5)

where N denotes the number of turns, As the cross section, eφ the orientation and l the length of a single winding of the coil, shown in Figure 2, are derived from the field equations based on the law of induction (Bíró et al., 2004). The boundary term in (5) vanishes for the given example in Section 7.

Figure 2.
A diagram depicting a cylindrical excitation coil with a cross section, the length and the general domain.This illustration features a three-dimensional cylindrical surface with concentric coils represented by blue lines. The diagram includes mathematical functions related to voltage, denoted as u(t), and current, indicated as i(t). Curved arrows show the direction of parameters, with labels such as e?, ?s, and As positioned around the cylinder, illustrating their relationships. The cylindrical shape emphasizes the flow of variables, and a red dashed line encircles the bottom edge of the cylinder, contributing to the overall structure of the visual. The notation reflects complex mathematical principles applicable in advanced physics or engineering contexts.

Voltage-driven coil (blue) with N turns of length l, cross section As (red), domain Ωs (green) and orientation eφ

Source: Authors’ own work

Figure 2.
A diagram depicting a cylindrical excitation coil with a cross section, the length and the general domain.This illustration features a three-dimensional cylindrical surface with concentric coils represented by blue lines. The diagram includes mathematical functions related to voltage, denoted as u(t), and current, indicated as i(t). Curved arrows show the direction of parameters, with labels such as e?, ?s, and As positioned around the cylinder, illustrating their relationships. The cylindrical shape emphasizes the flow of variables, and a red dashed line encircles the bottom edge of the cylinder, contributing to the overall structure of the visual. The notation reflects complex mathematical principles applicable in advanced physics or engineering contexts.

Voltage-driven coil (blue) with N turns of length l, cross section As (red), domain Ωs (green) and orientation eφ

Source: Authors’ own work

Close modal

To determine the apparent power (AP) of the 3D reference problem, the instantaneous values of the ECL per unit volume (ECLV) and the reactive power per unit volume (RPV):

(6a)
(6b)

respectively, where ω=2πf denotes the angular frequency, Ωc the domain of the conducting sheets, see Figure 1 (above), Ωm the domain of the laminated core, i.e. the sheets including the insulating layers see Figure 1 (below), and |Ωm| its volume, are calculated in every time instant. In the steady state, i.e. A(t)=A(t+T), the time-averaged ECL and RP over one time-period T are:

(7)

respectively, leading to the AP

(8)

where j represents the imaginary unit and the underline denotes complex values.

The one-dimensional CP, shown in Figure 3, is solved to calculate the non-linear EMνeff(|B|). The CP represents one sheet of the laminated core and is excited by the Dirichlet boundary conditions A×n=B0xez, with n=ex, on the boundaries of the CP which yields an averaged flux density B0 in ey direction. The resulting eddy currents J are oriented in the ez direction.

Figure 3.
Diagram illustrating current density and magnetic field configuration in the cell problem, with labeled axes and schematic representations of current densities and magnetic flux densities.The image presents a diagram of a cylindrical region with a current density vector, denoted as J, and a magnetic field, represented by B, across two sections. The top part shows J directed upward on one side and downward on the other, with a horizontal axis traced as d0/2 and a label for dc. The bottom section has J similarly oriented but with a different configuration labeled as d. The x, y, and z axes are clearly marked, and the cylindrical boundaries are visually indicated with hatch patterns, capturing relationships between current and magnetic fields in this geometric layout.

Reference (above) and homogenised cell problem (below) of a single sheet of total width d=d0+dc

Source: Authors’ own work

Figure 3.
Diagram illustrating current density and magnetic field configuration in the cell problem, with labeled axes and schematic representations of current densities and magnetic flux densities.The image presents a diagram of a cylindrical region with a current density vector, denoted as J, and a magnetic field, represented by B, across two sections. The top part shows J directed upward on one side and downward on the other, with a horizontal axis traced as d0/2 and a label for dc. The bottom section has J similarly oriented but with a different configuration labeled as d. The x, y, and z axes are clearly marked, and the cylindrical boundaries are visually indicated with hatch patterns, capturing relationships between current and magnetic fields in this geometric layout.

Reference (above) and homogenised cell problem (below) of a single sheet of total width d=d0+dc

Source: Authors’ own work

Close modal

For the one-dimensional reference CP on the interval I=[d/2,d/2], see Figure 3 (above), a single component magnetic vector potential A=u(x,t)ez with the unidirectional magnetic flux density B=Bey=xuey and the eddy current density J=σtuez is used. Using the notation of (3) for the implicit Euler time-stepping scheme, the weak form reads as:

Find uVD:={uU:u(t)=u0(t) on I} so that:

(9)

for all uV0 where UH1. The excitation is given by the Dirichlet boundary value u0(t)=Bpsin(ωt)x on I, where Bp describes the peak-value of the averaged magnetic flux density (Hollaus et al., 2024). The non-linear problem is solved according to Bíró and Preis (1995).

To determine the EMνeff(|B|), the ECLV and RPV are calculated in the reference CP. In the homogenised CP, these can be calculated analytically.

3.2.1 Reference cell problem.

With the solution of (9), the instantaneous values of the ECLV and the RPV:

(10)

where Ic=[dc/2,dc/2] is the domain of the conducting sheet, are calculated at each time instant, respectively. A selected set of instantaneous ECLVs and RPVs is shown in Figure 4. The curves are computed using the measured BH-curve shown in Figure 5 (blue) for various peak values Bp and f=50 Hz. The measured BH-curve represents the commutation curve of the ferromagnetic material M400-50A. The time-averaged ECLV and RPV are calculated in the steady state according to (7).

Figure 4.
Two line graphs are displayed, showing variations in instantaneous ECLs and RPs over time with units given.This image contains two line graphs arranged vertically. The upper graph represents the function p(t) normalized by Bp in kilowatts per cubic meter Tesla against time (t) in milliseconds. The x-axis ranges from zero to forty milliseconds, while the y-axis covers values from zero to approximately ten kilowatts. Various lines, each representing a specific parameter ranging from zero point one to one point three, illustrate fluctuation patterns with consistent peaks. The lower graph depicts q(t) normalized by Bp in kilovolt-amperes versus time (t), using the same x-axis scale. The y-axis ranges from zero to approximately 200 kilovolt-amperes. Both graphs present a series of oscillations, showcasing distinct shapes and values across different lines.

Instantaneous values of the eddy current losses p(t) (above) and the reactive power q(t) (below) in the CP over time for a non-linear material with u0(t)=Bpsin(ωt)x and f=50 Hz

Source: Authors’ own work

Figure 4.
Two line graphs are displayed, showing variations in instantaneous ECLs and RPs over time with units given.This image contains two line graphs arranged vertically. The upper graph represents the function p(t) normalized by Bp in kilowatts per cubic meter Tesla against time (t) in milliseconds. The x-axis ranges from zero to forty milliseconds, while the y-axis covers values from zero to approximately ten kilowatts. Various lines, each representing a specific parameter ranging from zero point one to one point three, illustrate fluctuation patterns with consistent peaks. The lower graph depicts q(t) normalized by Bp in kilovolt-amperes versus time (t), using the same x-axis scale. The y-axis ranges from zero to approximately 200 kilovolt-amperes. Both graphs present a series of oscillations, showcasing distinct shapes and values across different lines.

Instantaneous values of the eddy current losses p(t) (above) and the reactive power q(t) (below) in the CP over time for a non-linear material with u0(t)=Bpsin(ωt)x and f=50 Hz

Source: Authors’ own work

Close modal
Figure 5.
Graphs depicting the relationship between magnetic flux density and themagnetic field strength on the base of the effective material for 50Hz and 1kHz.The image contains two graphs displaying the relationship between magnetic induction (B in Tesla) and magnetic field strength (H in Amperes per metre). The upper graph includes three datasets represented by different markers; the blue 'x' symbolizes the measured BH curve, the orange squares represent Re(?_eff)B, and the green circles indicate Im(?_eff)B. The horizontal axis ranges from zero to one thousand six hundred Amperes per metre and the vertical axis from zero to one point six Tesla. The lower graph presents a similar arrangement but focuses on a specific range of H from zero to seven hundred fifty Amperes per metre, while B ranges from zero to one point six Tesla. A legend in the bottom right corner identifies the datasets for both graphs. The visual layout indicates a top-to-bottom flow, with both graphs sharing similar structures.

BH-curves of an effective reluctivity νeff(|B|) with f=50 Hz (above) and f=1 kHz (below)

Source: Authors’ own work

Figure 5.
Graphs depicting the relationship between magnetic flux density and themagnetic field strength on the base of the effective material for 50Hz and 1kHz.The image contains two graphs displaying the relationship between magnetic induction (B in Tesla) and magnetic field strength (H in Amperes per metre). The upper graph includes three datasets represented by different markers; the blue 'x' symbolizes the measured BH curve, the orange squares represent Re(?_eff)B, and the green circles indicate Im(?_eff)B. The horizontal axis ranges from zero to one thousand six hundred Amperes per metre and the vertical axis from zero to one point six Tesla. The lower graph presents a similar arrangement but focuses on a specific range of H from zero to seven hundred fifty Amperes per metre, while B ranges from zero to one point six Tesla. A legend in the bottom right corner identifies the datasets for both graphs. The visual layout indicates a top-to-bottom flow, with both graphs sharing similar structures.

BH-curves of an effective reluctivity νeff(|B|) with f=50 Hz (above) and f=1 kHz (below)

Source: Authors’ own work

Close modal

3.2.2 Homogenised model.

For the specific case of the homogenised one-dimensional CP, see Figure 3 (below), the magnetic flux density B¯(x)=Bp is constant. With the material relation H¯=νeff(|B|)B¯, the apparent power per unit volume (APV):

(11)

where the superscript * denotes complex conjugate, is determined analytically.

Using the EM, the ECL and the RP can be calculated in an equivalent problem without having to model individual layers of the laminated core. By equating the APVs:

(12)

of the reference CP (8) and the homogenised CP (11), the EM:

(13)

for a given excitation Bp is derived. The complex BH-curves of the effective reluctivities shown in Figure 5 with their real (orange) and imaginary (green) components are based on the measured BH-curve (blue), a frequency f=50 Hz (above) or f=1 kHz (below) and the parameters σ, dc and d0 from the numerical example are selected, see Section 7.

The complex-valued SMFP using νeff(|B|) and voltage-driven coils of the 3D problem with homogenised core, see Figure 1 (below):

(14a)
(14b)
(14)

where I_ and U_0 are complex phasors and the exciting coils are part of Ω0, is solved to approximate the averaged ECL and the averaged RP.

Considering (4) and (5), the regularised weak form of the problem with a homogenised core and the effective material reads as:

Find (A¯,I¯)VD(Ω):={(A¯,I¯):A¯U,I¯C,A_×n=0 on ΓB} such that:

(15a)

and

(15b)

for all (A¯,I¯)V0, where U is a FE subspace of H(curl,Ω). The parameter ε10 is introduced for a unique solution.

With the magnetic flux density B¯=×A¯ and the magnetic field strength H¯=νeff(|B|)B¯, the effective APV of the homogenised core Ωm:

(16)

is calculated. To reconstruct the ECLV and the RPV, the APV is separated by:

(17)

into the approximated ECLVP˜=Re(S¯eff) and the approximated RPVQ˜=Im(S¯eff), where the tilde symbol indicates values based on the EM.

The ECL and RP in the reference problem (8) are equivalent to the approximated ECL and RP in the homogenised problem (17). Consequently, the ECLV and RPV distributions of the reference problem, averaged over one time-period T and across each i-th sheet in the normal direction, here the z-direction:

(18a)
(18b)

correspond to those in the homogenised problem.

Based on the solution of the homogenised problem, the averaged APV distribution in the i-th sheet

(19)

is determined, which can be separated into the averaged ECLV and RPV distribution:

(20a)
(20b)

respectively.

The effective value of the current in the reference problem:

(21)

is approximated by the effective current:

(22)

resulting from the calculations with the EM and the homogenised core.

A single-phase transformer is used as a numerical example. The geometry of the laminated core is shown in Figure 1 (above), using all symmetries. The dimensions x0=156 mm,x1=94 mm,x2=334.5 mm,y0=250 mm,y1=94 mm,y2=334.5 mm and z2=334.5 mm are used, see Figure 1 (below). With the thickness of one conducting sheet dc=0.5 mm, the filling factor kF=dc/(dc+d0)=0.95 and the number of sheets in the core of N=20 or N=184, the height of the core is given by zm=12(Ndc+(N1)d0)=5.25 mm or zm48.41 mm, respectively. The discretisation of the used mesh for the RS is sketched in Figure 6. For the approach with the EM and homogenised core with the same discretisation in the xy-plane and only a single element for the homogenised core in z-direction is used. The excitation of the problem is considered by the Biot-Savart field of four voltage-driven symmetric cylindrical coils with 60 turns each. The inner and outer radius of the coils are selected with ri,1=81 mm, ro,1=84 mm, ri,2=88 mm and ro,2=91 mm, the length of the coil as l=192 mm. The electric conductivity of iron is selected with σc=2.08·106 S/m and the frequency f{50,103} Hz. To regularise the problem, a small electric conductivity σ0<1 is assumed in air. Because the penetration depth at a frequency of f=103 Hz is approximately half the thickness of the sheet, magnetic field diffusion becomes significant. Consequently, the magnetic field cannot be assumed to remain uniform across the sheet’s thickness. The arrangement of the core with the coils exhibits three planes of symmetry. Handmade structured hexahedral FE meshes are used. The same discretisation by FEs in the x, y-plane is used for the reference model and the model with the homogenised core to ensure a fair comparison. One period of time is discretised in 50 instants and 2.5 periods are considered in the simulations. The voltage-driven coils are excited by u0(t)=Upramp(ωt)sin(ωt)x, shown in Figure 7, where the function ramp(ωt) enables a smooth increase of the exciting voltage u0(t) and to achieve the steady state rapidly. The RS is computed to verify the results obtained by the approach using the homogenised core with the EM.

Figure 6.
A graph shows a grid layout with highlighted areas for the laminated core in the xy-plane and the xz-plane, including a zoomed section to emphasize details close to the edges.The image presents a graph composed of two sections. The upper section features a coordinate system with y measured in millimetres on the vertical axis and x on the horizontal axis, illustrating a grid layout with numerous intersecting lines. Specific areas highlighted in red draw attention to notable regions on the graph. The lower section provides a horizontal view of the data, where z is also measured in millimetres along the vertical axis while x remains on the horizontal axis. A zoomed-in segment is circled in green to focus on a particular region of interest, indicating the close-up analysis of the data at specific coordinates. The graph's grid patterns are consistently maintained throughout both sections, allowing for accurate interpretation of the relationships between the dimensions presented.

Used FE mesh in the xy-plane (above) and xz-plane with a detail not drawn to scale (below) and highlighted conducting sheet

Source: Authors’ own work

Figure 6.
A graph shows a grid layout with highlighted areas for the laminated core in the xy-plane and the xz-plane, including a zoomed section to emphasize details close to the edges.The image presents a graph composed of two sections. The upper section features a coordinate system with y measured in millimetres on the vertical axis and x on the horizontal axis, illustrating a grid layout with numerous intersecting lines. Specific areas highlighted in red draw attention to notable regions on the graph. The lower section provides a horizontal view of the data, where z is also measured in millimetres along the vertical axis while x remains on the horizontal axis. A zoomed-in segment is circled in green to focus on a particular region of interest, indicating the close-up analysis of the data at specific coordinates. The graph's grid patterns are consistently maintained throughout both sections, allowing for accurate interpretation of the relationships between the dimensions presented.

Used FE mesh in the xy-plane (above) and xz-plane with a detail not drawn to scale (below) and highlighted conducting sheet

Source: Authors’ own work

Close modal
Figure 7.
A graph displays two functions over time: a sine wave and a ramp function, illustrating their relationship. The x-axis represents time in milliseconds, and the y-axis shows the normalized amplitude.The image presents a graph featuring two functions plotted against time. The x-axis is labeled "t in milliseconds," ranging from zero to fifty milliseconds. The left y-axis represents the normalized amplitude, denoted by u0(t)/Up, ranging from negative one to one. A blue continuous curve represents the sine function multiplied by a ramp function, and a red dashed line depicts the ramp function itself, showing an increasing linear trend at first. Labels point to specific curves indicating "ramp(?t)" for the red dashed line and "ramp(?t) sin(?t)" for the blue curve. The overall layout enhances the understanding of how the two functions interact over time.

Exciting voltage u0(t)=Upramp(ωt)sin(ωt) with f=50 Hz. The value of ramp(t) increases linearly in the first period T=20 ms

Source: Authors’ own work

Figure 7.
A graph displays two functions over time: a sine wave and a ramp function, illustrating their relationship. The x-axis represents time in milliseconds, and the y-axis shows the normalized amplitude.The image presents a graph featuring two functions plotted against time. The x-axis is labeled "t in milliseconds," ranging from zero to fifty milliseconds. The left y-axis represents the normalized amplitude, denoted by u0(t)/Up, ranging from negative one to one. A blue continuous curve represents the sine function multiplied by a ramp function, and a red dashed line depicts the ramp function itself, showing an increasing linear trend at first. Labels point to specific curves indicating "ramp(?t)" for the red dashed line and "ramp(?t) sin(?t)" for the blue curve. The overall layout enhances the understanding of how the two functions interact over time.

Exciting voltage u0(t)=Upramp(ωt)sin(ωt) with f=50 Hz. The value of ramp(t) increases linearly in the first period T=20 ms

Source: Authors’ own work

Close modal

To achieve different saturation levels of the core, the coils are excited with voltages of different peak values Up. The ECLV, the RPV and the approximated currents for the excitations with Up{0.5,1,3,5,10} V, frequencies f{50,103} Hz and a series resistor of Rs=100μΩ are shown in Table 1 for the brute-force RS the homogenised model using the EM. The non-sinusoidal curves of the currents, shown in Figure 8, validate that a wide range of saturation levels is covered with these peak values. In addition to the simulations with 20 sheets, simulations with 184 sheets are also shown. Relative errors εP=100%(UU˜)/U with U{P,Q,Ieff} in the range of εP1% for the ECLV, εQ1% for the RP and εI1% for the effective currents are achieved for all simulations with f=50 Hz and εP1.5%,εQ1.5% and εI1% for f=1 kHz, respectively. The reduction of the computational costs is shown in Table 2. In detail, for f=50 Hz a speed-up of approximately 300 is achieved for the problem with 20 sheets and 5,000 for the problem with 184 sheets. The reduction of the computational cost for f=1 kHz is similar.

Table 1.

Eddy current losses, reactive power and circuit current, Rs=100μΩ

FEMEMError
UpPQIeffP˜Q˜I˜effεPεQεI
VW/m3VA/m3mAW/m3VA/m3mA%%%
20 sheets, f = 50 Hz 
0.5 5.1 156 119 5.1 155 117 0.0 −0.9 −1.3 
1.0 21.1 608 231 20.5 602 228 −1.0 −0.9 −1.3 
3.0 200 3,225 402 199 3,224 394 −0.3 −0.1 −2.1 
5.0 561 7,050 521 560 7,040 511 −0.1 −0.1 −2.0 
10.0 2,278 28,298 990 2,260 27,908 997 −0.8 −1.4 0.7 
20 sheets, f = 1 kHz 
5.0 487.2 814.5 73.3 479.6.5 826.9 73.0 −1.6 1.5 −0.4 
10.0 1,942 3,255 146 1,911 3,311 145 −1.6 1.7 −0.7 
184 sheets, f = 50 Hz 
6.8 211.1 138.2 6.9 209.1 136.3 0.6 −1.0 −1.3 
15 63.8 1,420.8 312.1 63.2 1,399.4 303.2 −0.9 −1.5 −2.8 
FEMEMError
UpPQIeffP˜Q˜I˜effεPεQεI
VW/m3VA/m3mAW/m3VA/m3mA%%%
20 sheets, f = 50 Hz 
0.5 5.1 156 119 5.1 155 117 0.0 −0.9 −1.3 
1.0 21.1 608 231 20.5 602 228 −1.0 −0.9 −1.3 
3.0 200 3,225 402 199 3,224 394 −0.3 −0.1 −2.1 
5.0 561 7,050 521 560 7,040 511 −0.1 −0.1 −2.0 
10.0 2,278 28,298 990 2,260 27,908 997 −0.8 −1.4 0.7 
20 sheets, f = 1 kHz 
5.0 487.2 814.5 73.3 479.6.5 826.9 73.0 −1.6 1.5 −0.4 
10.0 1,942 3,255 146 1,911 3,311 145 −1.6 1.7 −0.7 
184 sheets, f = 50 Hz 
6.8 211.1 138.2 6.9 209.1 136.3 0.6 −1.0 −1.3 
15 63.8 1,420.8 312.1 63.2 1,399.4 303.2 −0.9 −1.5 −2.8 
Source(s): Authors’ own work
Figure 8.
A graph showing current over time with multiple curves representing different excitation voltage values. Each curve varies in shape and position across a time range from zero to fifty milliseconds. Additionally, the values of the novel formulation using the effective material are shown.The image displays a graph plotting current, denoted as i(t), in amperes on the vertical axis against time in milliseconds on the horizontal axis, with time ranging from zero to fifty milliseconds. Multiple curves represent different voltage levels, specifically at zero point five volts, one volt, three volts, five volts, and ten volts, with each voltage indicated by distinct solid and dashed line styles. The graph features oscillating patterns where current exhibits positive and negative values, with peaks and troughs in each curve, showing variations in current behavior corresponding to increasing voltage levels. A legend in the lower right corner identifies the voltage for each curve, clear with corresponding colours and line styles distinguishing them. Grid lines are present, aiding in reading the values across both axes.

Currents i(t) (solid) and I˜eff (dashed) for 20 sheets, Up{0.5,1,3,5,10} V and R=0.1 mΩ

Source: Authors’ own work

Figure 8.
A graph showing current over time with multiple curves representing different excitation voltage values. Each curve varies in shape and position across a time range from zero to fifty milliseconds. Additionally, the values of the novel formulation using the effective material are shown.The image displays a graph plotting current, denoted as i(t), in amperes on the vertical axis against time in milliseconds on the horizontal axis, with time ranging from zero to fifty milliseconds. Multiple curves represent different voltage levels, specifically at zero point five volts, one volt, three volts, five volts, and ten volts, with each voltage indicated by distinct solid and dashed line styles. The graph features oscillating patterns where current exhibits positive and negative values, with peaks and troughs in each curve, showing variations in current behavior corresponding to increasing voltage levels. A legend in the lower right corner identifies the voltage for each curve, clear with corresponding colours and line styles distinguishing them. Grid lines are present, aiding in reading the values across both axes.

Currents i(t) (solid) and I˜eff (dashed) for 20 sheets, Up{0.5,1,3,5,10} V and R=0.1 mΩ

Source: Authors’ own work

Close modal
Table 2.

Computational costs

RSEM
 Up tsim Ndof tsim Ndofspeed-upRatio Ndof
 103  103     
20 sheets, f = 50 Hz 
0.5 7,299.4 134.8 2.5 15.5 2,976 8.7 
1.0 7,750.6 ” 6.3 ” 1,234 ” 
3.0 7,971.8 ” 28.4 ” 281 ” 
5.0 7,921.1 ” 33.0 ” 221 ” 
10.0 7,926.9 ” 29.4 ” 270 ” 
184 sheets, f = 50 Hz 
121,793.5 1,101.1 5.3 15.5 22,980 70.9 
15 133,997.3 ” 27.4 ” 4,890 ” 
RSEM
 Up tsim Ndof tsim Ndofspeed-upRatio Ndof
 103  103     
20 sheets, f = 50 Hz 
0.5 7,299.4 134.8 2.5 15.5 2,976 8.7 
1.0 7,750.6 ” 6.3 ” 1,234 ” 
3.0 7,971.8 ” 28.4 ” 281 ” 
5.0 7,921.1 ” 33.0 ” 221 ” 
10.0 7,926.9 ” 29.4 ” 270 ” 
184 sheets, f = 50 Hz 
121,793.5 1,101.1 5.3 15.5 22,980 70.9 
15 133,997.3 ” 27.4 ” 4,890 ” 
Source(s): Authors’ own work

Simulations with a peak value of Up=5 V, 20 sheets and different serial resistors Rs{0.1,1,3,10,100}Ω are shown in Figure 9.

Figure 9.
A graph illustrating relationships between variables P and Q against Rs.The image shows a graph with the vertical axis labeled P in kilowatt per cubic meter divided by Q in kilovolt ampere per cubic meter, presenting a scale from zero to seven. The horizontal axis represents Rs in ohms, ranging from zero point one to one hundred. The graph features two distinct lines: a solid red line representing P, and a blue dashed line indicating Q. Key points include a steady line segment for P at a value near seven, while Q decreases significantly as Rs increases. The plot contains a grid background for better readability and a legend box for line identification positioned at the top right corner.

Different serial resistors, Up=5 V, 20 sheets and f=50 Hz

Source: Authors’ own work

Figure 9.
A graph illustrating relationships between variables P and Q against Rs.The image shows a graph with the vertical axis labeled P in kilowatt per cubic meter divided by Q in kilovolt ampere per cubic meter, presenting a scale from zero to seven. The horizontal axis represents Rs in ohms, ranging from zero point one to one hundred. The graph features two distinct lines: a solid red line representing P, and a blue dashed line indicating Q. Key points include a steady line segment for P at a value near seven, while Q decreases significantly as Rs increases. The plot contains a grid background for better readability and a legend box for line identification positioned at the top right corner.

Different serial resistors, Up=5 V, 20 sheets and f=50 Hz

Source: Authors’ own work

Close modal

The distributions of the time and sheet averaged ECLV and RPV are shown in Figures 10 and 11 for Up=5 V, Rs=100μΩ and 20 sheets in the upper most sheet. A comparison of the magnetic flux density distributions for Up=10 V is shown in Figure 12.

Figure 10.
A figure displaying different averaged eddy current loss levels with values ranging from zero to two thousand watts per cubic meter.The image presents a heat map that illustrates various temperature levels represented through color gradients. The horizontal axis indicates values from zero to two thousand watts per cubic meter, segmented into increments of five hundred units. The heat map consists of blocks filled with different colors that transition gradually from deep blue to green, yellow, and red, denoting increasing temperature levels. The layout is organized in a rectangular shape with color bars at the top for interpretation, and there are empty spaces showing lack of data.

Distribution of the eddy current losses p¯20(x,y) (18a) in the reference problem (left) and p˜20(x,y) (20a) with the EM model (right) in the upper most sheet with 20 sheets, Up=5 V and f=50 Hz

Source: Authors’ own work

Figure 10.
A figure displaying different averaged eddy current loss levels with values ranging from zero to two thousand watts per cubic meter.The image presents a heat map that illustrates various temperature levels represented through color gradients. The horizontal axis indicates values from zero to two thousand watts per cubic meter, segmented into increments of five hundred units. The heat map consists of blocks filled with different colors that transition gradually from deep blue to green, yellow, and red, denoting increasing temperature levels. The layout is organized in a rectangular shape with color bars at the top for interpretation, and there are empty spaces showing lack of data.

Distribution of the eddy current losses p¯20(x,y) (18a) in the reference problem (left) and p˜20(x,y) (20a) with the EM model (right) in the upper most sheet with 20 sheets, Up=5 V and f=50 Hz

Source: Authors’ own work

Close modal
Figure 11.
A figure showing different averaged reactive power levels with values ranging from zero to ten thousand Volt-Amperes per cubic meter.The image presents a heatmap structured with a range of coloured blocks arranged within two columns, each labelled with numerical values: zero, two thousand five hundred, five thousand, seven thousand five hundred, and ten thousand VA per cubic metre at the top. The blocks represent various data values, displayed in a gradient of colours, where each colour corresponds to a specific numerical value. There is a significant blank space in the lower section of the right column, indicating an absence of data in that area. The data flows from top to bottom and left to right, allowing for a visual comparison between the two columns.

Distribution of the reactive power q¯20(x,y) (18b) in the reference problem (left) and q˜20(x,y) (20b) with the EM model (right) in the upper most sheet with 20 sheets, Up=5 V and f=50 Hz

Source: Authors’ own work

Figure 11.
A figure showing different averaged reactive power levels with values ranging from zero to ten thousand Volt-Amperes per cubic meter.The image presents a heatmap structured with a range of coloured blocks arranged within two columns, each labelled with numerical values: zero, two thousand five hundred, five thousand, seven thousand five hundred, and ten thousand VA per cubic metre at the top. The blocks represent various data values, displayed in a gradient of colours, where each colour corresponds to a specific numerical value. There is a significant blank space in the lower section of the right column, indicating an absence of data in that area. The data flows from top to bottom and left to right, allowing for a visual comparison between the two columns.

Distribution of the reactive power q¯20(x,y) (18b) in the reference problem (left) and q˜20(x,y) (20b) with the EM model (right) in the upper most sheet with 20 sheets, Up=5 V and f=50 Hz

Source: Authors’ own work

Close modal
Figure 12.
The image displays two graphs with arrows indicating vector fields, accompanied by a colour gradient bar, illustrating variations in intensity across a grid.The image features two adjacent graphs representing vector fields, with arrows pointing in various directions across a grid-like structure. Each graph includes a horizontal colour gradient bar at the top, indicating values ranging from zero to one point two Tesla. The left graph shows the vector field with arrows predominantly in shades ranging from blue for lower values to red for higher values. The arrows vary in colour and density, reflecting changes in the vector's intensity across different regions of the grid. The right graph mirrors the structure and colour scheme of the left graph, displaying similar variations in the vector fields. Both graphs have grid lines and a grey background, which accentuates the vectors' orientation and intensity.

Distribution of the magnetic flux density B (left) and approximated B˜ with the EM model (right) in the upper most sheet with 20 sheets, Up=10 V and f=50 Hz

Source: Authors’ own work

Figure 12.
The image displays two graphs with arrows indicating vector fields, accompanied by a colour gradient bar, illustrating variations in intensity across a grid.The image features two adjacent graphs representing vector fields, with arrows pointing in various directions across a grid-like structure. Each graph includes a horizontal colour gradient bar at the top, indicating values ranging from zero to one point two Tesla. The left graph shows the vector field with arrows predominantly in shades ranging from blue for lower values to red for higher values. The arrows vary in colour and density, reflecting changes in the vector's intensity across different regions of the grid. The right graph mirrors the structure and colour scheme of the left graph, displaying similar variations in the vector fields. Both graphs have grid lines and a grey background, which accentuates the vectors' orientation and intensity.

Distribution of the magnetic flux density B (left) and approximated B˜ with the EM model (right) in the upper most sheet with 20 sheets, Up=10 V and f=50 Hz

Source: Authors’ own work

Close modal

All simulations are carried out using Netgen/NGSolve (Schöberl, 2024).

A novel method for calculating ECL and RP in laminated magnetic cores using an EM was introduced. This approach significantly reduces computational costs while preserving high accuracy. It involves a complex-valued SMFP for the homogenised cores, coupled with a serial resistor and excited by voltage-driven coils. This formulation eliminates the need for time-stepping or harmonic balance methods and avoids modelling each individual sheet separately. Simulations of 3D cores demonstrate that the EM approach provides reliable results, with errors about 1%, 1% and 1% at f=50 Hz for the ECL, the RP and the effective circuit current, respectively, for various setups, including different saturation levels of the magnetic material and numbers of sheets. The errors are increasing to about 1.5%, 1.5% and 1% for a frequency f=1 kHz, respectively. The method achieves remarkable computational efficiency, with speed-ups of about 300 for a numerical problem with 20 sheets and 5, 000 for 184 sheets compared to conventional FEM simulations.

The local distributions of ECL, RP and the magnetic flux density were found to be in excellent agreement with reference distributions, validating the accuracy and applicability of the method.

With the CP presented, the introduced model can only take into account eddy currents in the cross section of the sheet induced by the main magnetic field. Large eddy current loops due to perpendicular stray fields or edge-effect eddy currents are not considered in this model.

In conclusion, the proposed EM-based homogenisation technique offers a powerful and efficient tool for analysing magnetic cores in electrical machines and transformers. It significantly reduces computational costs while providing accurate estimations of ECL, RP and the effective current, making it highly valuable for both research and industrial applications.

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