International Journal of Energy and Power Engineering
Volume 5, Issue 1-1, February 2016, Pages: 1-11

Extended P21-Based Benchmarking

Zhiguang Cheng1, Behzad Forghani2, Tao Liu1, Yana Fan1, Lanrong Liu1

1Institute of Power Transmission and Transformation Technology, Baobian Electric Co., Ltd, Baoding, China

2Infolytica Corporation, Place du Parc, Montreal, Canada

Email address:

(Zhiguang Cheng)
(B. Forghani)

To cite this article:

Zhiguang Cheng, Behzad Forghani, Tao Liu, Yana Fan, Lanrong Liu. Extended P21-Based Benchmarking. International Journal of Energy and Power Engineering. Special Issue: Numerical Analysis, Material Modeling and Validation for Magnetic Losses in Electromagnetic Devices. Vol. 5, No. 1-1, 2016, pp. 1-11. doi: 10.11648/j.ijepe.s.2016050101.11


Abstract: This paper highlights two important aspects of the electromagnetic field modeling and simulation when used for industrial applications, namely the application based benchmarking activities and the magnetic material modeling. It emphasizes the relationship between the two, and briefly reviews the recent progress in extending the TEAM (Testing Electromagnetic Analysis Methods) Problem 21 Family (P21) and the related modeling results, and proposes a new benchmarking project which includes the upgraded benchmark models that can handle extreme excitations, i.e. current sources with a DC bias, as well as multiple harmonics.

Keywords: Extended Benchmarking, Extreme Excitation, Finite Element, Industrial Application, Magnetic Flux, Magnetic Loss, Problem 21 Family (P21), Working Magnetic Property Modeling


1. Introduction

The effectiveness of the numerical modeling and simulation is dependent on the electromagnetic analysis method, computational software being used, and access to sufficient material property data. Consequently, the development and validation of both the numerical computation method and the material property modeling, under working conditions, are of great interest.

In order to validate the numerical modeling methods, since 1985, the international COMPUMAG (the biennial conference on the computation of the electromagnetic fields) society (ICS) has paid great attention to organizing the TEAM activities worldwide, in order to test and compare the electromagnetic analysis methods, and has established a series of benchmark problems that are now widely used in the computational electromagnetics community [1]. Meanwhile, the IEEE Standard for validation of computational electromagnetics computer modeling and simulations has also been issued [2]. The authors have devoted a lot of their work to the engineering-oriented TEAM activities for many years [3-15], have proposed an engineering-oriented benchmark family of problems, Problem 21[1,3,4], and have updated it three times since 1993, which has been of interest to many scientists and engineers up to now.

On the other hand, more advanced material modeling techniques have been investigated systematically, involving extreme magnetization conditions [16]. As a result, there has been significant progress in the efficient design of electromagnetic devices [17-20]. However, so far, what is widely used in industrial applications is the standard one-dimensional B-H curves, obtained from either the Epstein frame or the single sheet tester (SST). Of course, magnetic properties change according to the working conditions, e.g. they can vary with the frequency, the temperature, and the stress action. Therefore, it is necessary to validate the magnetic property data under the same working conditions that the device is subjected to.

In very large electromagnetic devices, for example a EHV (extra high voltage) power transformer, the reduction of the stray-field loss, produced by the leakage flux from the transformer winding and heavy current leads, and the protection against unallowable loss concentrations, and then the resulting local overheating have become more and more significant[21-27]. Various types of power frequency shields are widely utilized to effectively save energy and ensure a reliable operation. In addition, the various shields can change and control the global distribution of the 3-D electromagnetic field inside a large electromagnetic device. It is important to accurately model and estimate the multi-shielding effects and optimize the shielding configurations at the electromagnetic design stage [14, 22, 23].

The purpose of this paper is to focus on the engineering- oriented benchmarking and the application-based magnetic material modeling in electromagnetic devices, to examine the effect of the variation in the different B-H representations used in different solvers on the iron loss and flux in GO (grain-oriented) silicon steel sheets. In addition, the modeling, simulation and validation, under extreme excitations, as a new benchmarking project, is also proposed in this paper [28].

2. Problem 21 Family and Selected Benchmarking Results

The electromagnetic and thermal field problems in large electromagnetic devices are usually very complicated, involving multi-physic field coupling, multi-scale (very thin sheet/penetration depth and very large bulk) configurations, and multi-materials subjected to varying working conditions. In order to obtain an effective solution, the strict validation of the analysis method and software, to be used for solving such complex field problems, is certainly needed. However, it is impossible to do that via a large real electromagnetic device. Therefore, the verification based on the engineering-oriented benchmark models becomes the best and most practical way.

2.1. TEAM Problem 21 Family

To investigate the stray-field loss problems in electromagnetic devices, a benchmark family, TEAM Problem 21, consisting of 16 benchmark models, has been well established (the definition of Problem 21, v.2009, can be found at www.compumag.org/TEAM)[1]. See Table 1.

Table 1. TEAM Problem 21 Family (V.2009).

Member Models Electromagnetic features Industry background Proposed at
P210 P210-A P210-B 3-D nonlinear eddy current and hysteresis model with multiply connected regions. Solid magnetic components models, e.g., power transformer tank or other solid parts. TEAM-Miami, USA, 1993.
P21a P21a-0 P21a-1 P21a-2 P21a-3 3-D linear eddy current model with multiply connected regions. Slotted solid plate models, e.g., core tie-plates in power transformers. TEAM-Yichang, China, 1996.
P21b P21b-MN P21b-2M P21b-2N 3-D nonlinear eddy current and hysteresis model with magnetic or/and non-magnetic steel plates separately placed. Hybrid steel structure models with magnetic and non-magnetic material aiming to reduce stray-field loss, also can be seen in power transformer tank. IEE CEM, Bournemouth, UK, 2002.
P21b-MNM P21b-NMN 3-D nonlinear eddy current and hysteresis model with magnetic and non-magnetic steel plates welded together. ACES, Miami, USA, 2006.
P21c P21c-M1 P21c-M2 P21c-EM1 P21c-EM2 Magnetic shielding and electromagnetic shielding models: 3-D nonlinear eddy current and hysteresis model with anisotropic lamination. Magnetic shunt and electromagnetic barriers models under low frequency, Widely used in power transformers. Compumag-Shenyang, China, 2005.
P21d P21d-M 3-D nonlinear eddy current and hysteresis model with anisotropic lamination without solid magnetic steel. Laminated frame models for detailing the electromagnetic behaviour. IEEE CEFC-Athens, Greece, 2008.

All the member models of Problem 21 Family come from typical structures found in large power transformers, each presenting a different electromagnetic behavior. The engineering-oriented benchmarking activities have the following goals:

(a) Test electromagnetic analysis methods

According to the original motivation of benchmarking (TEAM), Problem 21 works for testing and comparing the electromagnetic analysis methods and the developed computation software, as well as the commercial software being used.

(b) Verify computation models

It is important to build a correct numerical computation model that can take into account the nonlinearity, the electric and/or magnetic anisotropy of the material, the skin effect and loss concentration in components, allowing for a reasonable simplification for reducing the computational cost in large scale electromagnetic analysis and design.

(c) Detail the field behavior of typical product structure

Problem 21 is engineering-oriented, including power transformer tank, core-plate, and shielding models. The detailed modeling of the stray field loss generated in different components and the electromagnetic field distributions are helpful in improving the product design.

Table 2. Brief summary of P21-based modeling.

P210 In the iron-loss calculation, the hysteresis loss component and the nonlinearity of the magnetic steel must be accounted (P210 includes Model A and Model B, i.e., P210-A and P210-B). The practical calculation method of hysteresis loss and the measured hysteresis loss curves are available [1, 7].
P21a The satisfied results of eddy current losses in non-magnetic steel can be achieved using different 3-D analysis methods based on different potential sets, even with coarse mesh in non-magnetic components, but 2-D results is not available[4,9,33].
P21b The detailed examination and comparison of both the total loss and the loss concentration in the hybrid steel plate structure are of importance to improve the product design [10].
P21c The evaluations of the power loss and magnetic flux inside both electromagnetic and magnetic shields, as well as that of the separation-type shields, are given [12, 13].
P21d Both the iron loss and magnetic field inside the GO silicon steel lamination with different excitation patterns, and the additional iron loss induced by normal magnetic flux are detailed [4-6].

(d) Benefit to large-scale numerical modeling

A benchmark model is different from a large electromagnetic device, yet the benchmarking results are useful for solving the large-scale field problems, by simplifying the real problem, the treatment of material properties, and the choice of the solvers.

Table 2 shows a P21-based benchmarking note, which is expected to be helpful for the numerical modeling and computation in electromagnetic devices.

2.2. Selected Benchmarking Results

A number of P21-based benchmarking results have been presented by the authors and other researchers worldwide [4]. A summarized loss calculation results of Problem 21 Family is shown in Fig. 1 [9].

Figure 1. Loss spectrum of Problem 21 Family (with rated excitation condition of 10A, 50Hz).

In version 2009 of Problem 21 Family, the rated exciting current of 10 A (rms, 50 Hz) was upgraded to 50A. As a typical benchmarking result, the measured and calculated results of both the iron loss and magnetic flux inside the magnetic plate for P210-B are shown in Table 3 and Table 4 [1, 4].

Table 3. Iron loss inside magnetic steel (P210-B).

Exciting currents (A,rms,50Hz) Measured(W) Calculated (by Ar-V-Ar) Pcalc.(W) (Pcalc.- Pmeas.)/ Pmeas. (%)
5 3.30 3.30 0.0
10 11.97 12.04 0.6
15 26.89 27.12 0.9
20 49.59 50.92 2.7
25 82.39 84.78 2.9
30 123.70 128.67 4.0
35 179.10 183.15 2.3
40 248.00 250.45 1.0
45 330.00 330.91 0.3
50 423.00 425.07 0.5

Table 4. Flux inside magnetic steel (P210-B).

Exciting currents (A,rms,50Hz) Measured Fmeas.(mWb) Calculated (by Ar-V-Ar) Fcalc. (mWb) (Fcalc.- Fmeas.)/ Fmeas. (%)
5 0.158 0.151 -4.12
10 0.318 0.306 -3.86
15 0.478 0.458 -4.13
20 0.618 0.605 -1.98
25 0.770 0.750 -2.66
30 0.936 0.890 -4.90
35 1.064 1.024 -3.76
40 1.206 1.152 -4.48
45 1.357 1.276 -5.97
50 1.486 1.396 -6.06

Table 3 and Table 4 show that the 3-D electromagnetic solver based on potential set Ar-V-Ar [29,33], developed by the authors, provides good results for both the iron loss and flux under different exciting currents, agreeing well with the measured results.

Table 5 shows that the 3-D eddy current analysis for P21a, using different methods based on Ar-V-Ar and T-j-j potential sets [29-33], also provides good results, but the 2-D calculated results are not available.

Table 5. Eddy currents losses in non-magnetic steel (P21a).

Models Meas. (W) 3-D (W) 2-D (W)
T-j-j Ar-V-Ar A-V
P21a-0 9.17 9.50 9.31 9.22 14.75
P21a-1 3.40 3.37 3.34 3.35 6.23
P21a-2 1.68 1.67 1.66 1.68 3.07
P21a-3 1.25 1.15 1.14 1.15 1.86

(a) P21d-M1

(b) Location of search coils(sketch)

Figure 2. Measurement of flux densities inside sheet.

In order to investigate the iron loss and magnetic flux densities in the laminated sheets, a very simplified model, P21d-M of Problem 21 Family, as shown in Fig. 2(a), has been proposed, which enables us to accurately calculate and measure the loss and the flux within one sheet [11-13], as shown in Fig. 2(b).

(a) no.1

(b) no.2

(c) no.3

(d) no.4

Figure 3. Waveforms of flux densities inside lamination -layes(exciting currents: 25A, rm, 50Hz).

The measured and calculated waveforms of the flux densities inside different sheet-layers (from no.1 to no.4) at the exciting current of 25A(rms, 50 Hz) are shown in Fig. 3. The waveforms of flux densities inside the laminated sheets are distorted at different levels and the measured and calculated results agree well.

Note that in the current version of Problem 21 (V.2009, posted on the ICS website, www.compumag.org), the exciting currents have a sinusoidal waveform. The latest extension to the Problem 21 Family can handle the extreme excitation condition, i.e., the electromagnetic components of the member models of Problem 21 are excited by a DC-biased AC supply which may contain a number of harmonics [28]. Table 6 shows two newly proposed models.

Table 6. New upgraded models with extreme excitations.

Proposed models Electromagnetic features Industry background Remarks
P210-B+ 3-D nonlinear transient field in solid magnetic plate under multi-harmonic and/or DC-biasing excitations. Magnetic loss in solid magnetic components under extreme conditions. Upgraded P210-B with magnetic flux compensation.
P21c-M1+ 3-D nonlinear transient field in laminated sheets under multi-harmonic and/or DC-biasing excitations. Magnetic loss in laminated magnetic components under extreme conditions. Ungraded P21c-M1 with different types of laminated sheets.

3. P21-Based Benchmarking Notes

3.1. Finite Element Model for Lamination Configuration

In order to reduce the electromagnetic computation costs and obtain the solutions very efficiently, a number of homogenization methods for the lamination structures, such as the transformer core and the magnetic shields, have been proposed [34-38]. The following benchmarking model aims to deal with the standard iron loss and additional iron loss based on a simple model [12].

The simplified finite element model of the laminated GO silicon sheets has the following characteristics:

1) Treatment of electric anisotropy

Pattern 1: Modeling the first few laminations individually and modeling the rest as bulk; the 3-D eddy currents flow in the individual laminations and the 2-D eddy currents are limited in each lamination in the bulk region where the anisotropic conductivity is used, see Fig. 4(a).

Pattern 2: Fine meshing within a thin surface layer, and coarse meshing inside the bulk. In the entire conducting domain, the anisotropic conductivity is assumed. See Fig.4 (b).

(a) Pattern 1. (With interlaminar air gap)

(b) Pattern 2. (With electric anisotropy)

Figure 4. Simplification of laminated sheets.

2) Treatment of magnetic anisotropy

The resulting magnetic field inside the laminated sheet is almost in one direction (along the z-axis), making it a weak magnetic anisotropy problem, and the orthogonal anisotropic permeability is assigned to all the laminations.

3.2. Eddy Current Analysis

The well-established eddy current solvers, based on various potential sets, have been developed and applied in the computational electromagnetics research and industrial applications [29-33]. In the method based on the T-W potential set, used by MagNet, the software used for the work in this paper, the magnetic field is represented as the sum of two parts, i.e., the gradient of a scalar potential W and T. In the conductors, an additional vector field is represented with vector-edge elements. As a result, the solution vector consists of the magnetic scalar potential at the nodes plus edge-degrees of freedom associated with the current flow in solid conductors. The T-W based solver does not run into the convergence and instability issues associated with other formulations [32]. The governing equation in the eddy current region, and in the presence of anisotropic and nonlinear materials, is given by (1),

(1)

The anisotropic and nonlinear permeability [m ] in (1) can be represented by (2)

(2)

where Cp is the packing factor.

The anisotropic conductivity [s] of the sheets can be dealt with as

(3)

where sy=sz=syz in the sheets, while sx is expressed as

(4)

The iron loss and flux generated in the GO laminations are computed based on the field results, as part of the post processing operation. The additional iron loss Pa , caused by the flux entering normal to the laminated sheets, is not included in the measured total iron loss (by using standard magnetic property measurement methods), however, it cannot be neglected. As a practical solution, the total iron loss Pt , referred to as standard iron loss, can be divided into two parts, i.e.,

(5)

where Ps can be numerically computed based on the 3-D field solution (), the measured standard loss curve Bm-Wt, and the elements volumes, and then summed up, as shown in (6),

(6)

where  and Ve are the total specific loss and volume of each element in the lamination-layers.

While Pa can be calculated based on the induced eddy current field solution J flowing in the lamination-layers, with anisotropic conductivity  according to equation (7),

(7)

3.3. On Magnetic Property Modeling

Both, keeping track of advanced material modeling technologies and promoting large-scale applications, using the existing material property data, from the point of view of industrial application, are really important.

(a)       A bottleneck problem of industrial application

The material property modeling is one of the key topics of the engineering electromagnetics. In the author’s opinion, it is still a bottleneck-problem of industrial applications. This is because the measurement conditions used in measuring the material properties are standard, using standard equipment, such as the Epstein frame, SST, or other equipment used for obtaining vector magnetic properties [17, 20]. However, the working conditions that the components in a device are subjected to are not standard.

Up to now, the material property data provided by the material manufacturers are one-dimensional, but the field problems in the real products are three-dimensional. So another problem to figure out is how to use the existing property data when solving the real problems?

(b)       Combination of material modeling and numerical computation

The majority of the current electromagnetic-thermal analysis software can access the one-dimensional or the so-called orthogonal-anisotropic property data. The software must be upgraded if the vector property data of the material is to be used.

(c)       Improvement of magnetic property modeling technology

For many years, the standard testing equipment have been used for the measurement of the magnetic material property. There is a need for an extension to the measurement function and upgrades of the measurement values, for example, using the Epstein frame to measure the different types of B-H curves (Bm-Hm and Bm-Hb), or when the mean path length of the Epstein depends on many factors and is not a constant value [39,40].

3.4. Effect of B-H Properties on Iron Loss and Flux

3.4.1. Different B-H Curves

Two kinds of B-H curves, namely Bm-Hm and Bm-Hb, are currently used in electromagnetic field computation [13]. The Bm-Hm curve takes the maximum values of both the flux density (Bm) and the magnetic field strength (Hm) within a cycle. Generally, Bm and Hm cannot achieve the maximum value at the same time inside the magnetic steel due to the eddy current, especially at low flux density, as shown in Fig.5. Thus there is another magnetic field strength Hb corresponding to the maximum value of the flux density Bm, i.e. Bm-Hb curve, see Fig.5. The eddy current becomes zero at the instant when the flux becomes the maximum, therefore, Bm-Hb curve can be referred to as a dc B-H curve.

(a) Bm=1.0T

(b) Bm=1.8T

Figure 5. Definition of Bm, Hm and Hb (30P105, f=50Hz).

Fig.6 shows the examples of forming Bm-Hm and Bm-Hb curves based on hysteresis loops (30P105), and Fig.7 demonstrates the measured B-H curve family (SST with H coil) at different frequencies. Both Fig.6 and Fig.7 indicate that the Bm-Hb curves at around a commercial frequency (e.g., 50Hz) are similar to the dc B-H curve at low frequency (0.01Hz), but Bm-Hm curves are different from the quasi dc B-H curve.

(a) f=50Hz

(b) f=0.01Hz

Figure 6. Hysteresis loops at different frequencies (30P105).

Figure 7. Comparison of B-H curves (30P105).

3.4.2. Different Sampling of GO Silicon Steel Sheets

The B-H curves (Bm-Hm and Bm-Hb) and the specific loss curve (Wt-Bm), measured at different sampling angles to the rolling direction of the GO steel sheet (30P120) and at different frequencies using the Epstein frame, are shown in Fig. 8 [13].

(a) B-H curves (0º to rolling direction).

(b)Bm-Wt curves (0º to rolling direction).

(c) B-H curves (90º to rolling direction).

(d) Wt-Bm curves (90º to rolling direction).

Figure 8. B-H and Bm-W curves of 30P120.

A comparison between the B-H curves, i.e., Bm-Hm and Bm-Hb, measured by using Epstein frame and SST respectively, is given. See Fig. 9.

Figure 9. B-H curves (90° to rolling direction) measured using SST and Epstein frame (30P120).

3.4.3. Test Models and Results

Table 7. Specification of test models.

Models Magnetic plate of 10 mm thick GO silicon sheets Sheet-coil distance (mm) Sheet size (mm)
T1 Without 30P120 15.0 500´500
T2 Without 30P120 12.0 80´458 (3 sets)
P21c-M1 With 30RGH120 12.0 270´458
P21c-M2 With 30RGH120 12.0 80´458 (3 sets)

To examine the effects of the different B-H representations on the iron loss and flux inside the lamination, two test models have been proposed, i.e. Model T1 and Model T2, which are derived from the benchmark Model P21c-M1 and P21c-M2 of Problem 21 Family, respectively. A brief comparison among the benchmark models and the newly proposed Problem 21-based test models is shown in Table 7.

In Model T1, only six silicon steel sheets of 500´500mm (30P120) are driven by a twin AC source (50 to 200Hz), a 3-D excitation, see Fig. 10 (a). The purpose of Model T2 is to show the effect of the division of the wide sheets on the reduction of iron loss, see Fig. 10 (b).

(a) Model T1.

(b) Model T2.

Figure 10. Models T1 and T2.

3.4.4. Discussion

According to the pre-measurement results obtained by the authors, the saturation level of the laminated sheets is not so high, especially at lower excitations. Both the time harmonic (TH) and the time stepping (TS) solvers of the T-W-based MagNet, Infolytica, are used to solve the 3-D eddy current problem. Table 8 shows the calculated and measured results of the total iron loss Pt of Model T1.

All the calculated results, using different B-H curves and different solvers, indicate that the use of TH solver and Bm-Hm curve can offer better results when compared to measurement. This is, because the element-permeability is dependent on the quasi-maximum values of B and H within a cycle in the TH solver. On the contrary, in the case of the TS solver, Bm-Hb curve can offer better results. This is, because in the TS solver the element-permeability is determined according to the instantaneous values of B and H at an instant. As a result, a more precise analysis is possible by the time stepping method using the Bm-Hb curve, which is almost the same as the dc B-H curve.

Table 8. Total iron loss results (Model T1).

Current (A, rms, 50Hz) Calc. (W) Meas. (W)
TH solver/Pattern 1 TS solver/Pattern 2
Bm-Hb Bm-Hm Bm-Hb Bm-Hm
10 2.61 2.74 2.54 2.35 2.52
15 7.26 7.89 6.66 6.24 7.12
20 12.74 14.14 13.37 12.65 13.7
25 20.31 22.47 23.68 24.01 23.8

Table 9 shows the contributions of additional iron loss Pa and standard specific iron loss Ps to the total iron loss Pt, using different solvers and/or different kinds of B-H curves. Table 9 also indicates that Ps calculated using Bm-Hb curve is larger than that using the Bm-Hm curve. This is, because the permeability taken from Bm-Hb curve is higher than that taken from Bm-Hm curve. See Fig.11.

However, from the calculated results, Pa has a different tendency, using different B-H curve and/or different (TH or TS) solver.

Table 9. Components of iron loss (Model T1).

Current (A, rms, 50Hz) TH solver (W) TS solver (W)
Bm-Hb Bm-Hm Bm-Hb Bm-Hm
Pa Ps Pa Ps Pa Ps Pa Ps
10 1.53 1.08 1.81 0.93 1.73 0.81 1.72 0.63
15 5.50 1.76 6.35 1.54 5.20 1.46 5.12 1.12
20 10.44 2.31 12.07 2.07 11.15 2.22 10.95 1.70
25 17.19 3.12 19.89 2.58 21.22 2.46 21.59 2.42

The calculated results by both the TH and TS solvers show that the iron loss is mainly concentrated in a few layers on the side facing the exciting source, and goes down with the increase of layer-number going from 1 to 6, at 20A(50Hz) for Model T1, as shown in Fig. 9.

Figure 11. Iron loss distribution in layers (calculated by TS solver, Model T1, at 50Hz).

(a) Locations of search coils (sketch)

(b) Magnetic flux in GO sheets

Figure 12. Magnetic flux inside GO laminated sheets (Model T1, 50Hz).

To determine the magnetic flux inside the laminated sheets, search coils are set up in Model T1; see Fig. 12(a). The magnetic fluxes, at the prescribed positions of the laminations under the different exciting currents, are calculated. Either TH solver and Bm-Hm curve or TS solver and Bm-Hb curve are applied. The calculated results agree well with the measured ones. See Fig. 12(b).

In Model T2, the iron loss produced in the three sets of the narrow GO silicon steel sheets of 80´458mm, which are placed in parallel, is considerably lower compared to that of Model T1 for the same exciting currents.

Fig. 13 shows the calculated and the measured results of iron loss of Model T2 at 10A, under a frequency range from 50 to 200Hz. The results also indicate that the iron loss increases with the exciting frequency.

Figure 13. Iron loss varying with frequency (calculated by TH solver using Bm-Hm curve, Model T2).

Following is a very brief summary:

1) The examination of the effect of the different B-H curves (obtained by different means and data access modes and at different frequencies) on the iron loss and flux in GO silicon steel laminations is carried out. The numerical modeling results of the iron loss and flux based on the test models are in practical agreement with the measured ones.

2) All the numerical modeling results suggest that the Bm-Hb curve is desirable for the use in the transient solver, but the combination of the Bm-Hm curve and the time harmonic solver is also available for the problem with lower saturation levels.

3) The additional iron loss (Pa), due to the normal flux, exponentially drops from the surface facing the exciting source to the opposite side of the laminated sheets. On the other hand, the specific iron loss (Ps) generated by the parallel flux drops slowly compared to Pa.

4. Concluding Remarks

The progress of TEAM Problem 21 Family and long-term P21-based benchmarking are briefly reviewed, and a selected set of benchmarking results are presented.

The magnetic loss and flux inside both the solid and laminated components are numerically computed using different solvers based on different potential sets and measured using well-established experimental setups.

The effect of the variation in the B-H representations used in different solvers on the iron loss and flux in laminated sheets are examined in detail.

As the future research project, the Problem 21 Family is being extended to cover the modeling and computation issues that a device experiences when under extreme excitation conditions.

Acknowledgement

The authors would like to thank the heads and all the colleagues of R & D Center, Baobian Electric Group, for their cooperation, support and help in the long-term P21-based experiment and numerical modeling, and thank the ICS for all the approved updates of TEAM P21. Specially, here and now the authors would express their grief to the late Prof. Norio Takahashi for his co-research for many years.


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