Abstract
Medium-frequency (MF) transformers are extensively used in power electronic converters. Accordingly, accurate models of such devices are required, especially for the magnetic equivalent circuit. Literature documents many different methods to calculate the magnetizing and leakage inductances of transformers, where, however, few comparisons exist between the methods. Furthermore, the impact of underlying hypotheses and parameter uncertainties is usually neglected. This paper analyzes nine different models, ranging from simple analytical expressions to 3D detailed numerical simulations. The accuracy of the different methods is assessed by means of Monte Carlo simulations and linearized statistical models. The experimental results, conducted with a \(100\,{\hbox {kHz}}\)/\(20\,{\hbox {kW}}\) MF transformer employed in a \(400\,{\hbox {V}}\) DC distribution system isolation, are in agreement with the simulations (below 14% inaccuracy for all the considered methods). It is concluded that, considering typical tolerances, analytical models are accurate enough for most applications and that the tolerance analysis can be conducted with linearized models.
Similar content being viewed by others
References
Leibl M, Ortiz G, Kolar JW (2017) Design and experimental analysis of a medium frequency transformer for solid-state transformer applications. IEEE Trans Emerg Sel Top Power Electron 5(1):110–123
Kieferndorf F, Drofenik U, Agostini F, Canales F (2016) Modular PET, two-phase air-cooled converter cell design and performance evaluation with 1.7kV IGBTs for MV applications. In: Proceedings of the IEEE applied power electronics conference and exposition (APEC), pp 472–479
Zhao S, Li Q, Lee FC (2017) High frequency transformer design for modular power conversion from medium voltage AC to 400 V DC. In: Proceedings of the IEEE applied power electronics conference and exposition (APEC), pp 2894–2901
Guillod T, Krismer F, Kolar JW (2017) Electrical shielding of MV/MF transformers subjected to high d\(v\)/d\(t\) PWM voltages. In: Proceedings of the IEEE applied power electronics conference and exposition (APEC), pp 2502–2510
Mühlethaler J (2012) Modeling and multi-objective optimization of inductive power components. Ph.D. thesis, ETH Zürich
Valchev VC, Van den Bossche A (2005) Inductors and transformers for power electronics. CRC Press, Boca Raton
Ferreira JA (2013) Electromagnetic modelling of power electronic converters. Springer, Berlin
Guillod T, Färber R, Krismer F, Franck CM, Kolar JW (2016) Computation and analysis of dielectric losses in MV power electronic converter insulation. In: Proceedings of the IEEE energy conversion congress and exposition (ECCE), pp 1–8
Guillod T, Huber J, Krismer F, Kolar JW (2017) Wire losses: effects of twisting imperfections. In: Proceedings of the workshop on control and modeling for power electronics (COMPEL), pp 1–8
Venkatachalam K, Sullivan CR, Abdallah T, Tacca H (2002) Accurate prediction of ferrite core loss with nonsinusoidal waveforms using only steinmetz parameters. In: Proceedings of the IEEE workshop on computers in power electronics, pp 36–41
Kleinrath H (1993) Ersatzschaltbilder für Transformatoren und Asynchronmaschinen (in German). In: e&i 110(1), pp 68–74
McLyman WT (2004) Transformer and inductor design handbook. CRC Press, Boca Raton
Kasper M, Burkart RM, Deboy G, Kolar JW (2016) ZVS of power MOSFETs revisited. IEEE Trans Power Electron 31(12):8063–8067
Schwarz FC (1970) A method of resonant current pulse modulation for power converters. IEEE Trans Ind Electron 17(3):209–221
De Doncker RWAA, Divan DM, Kheraluwala MH (1991) A three-phase soft-switched high-power-density DC/DC converter for high-power applications. IEEE Trans Ind Appl 27(1):63–73
Dai N, Lee FC (1994) Edge effect analysis in a high-frequency transformer. In: Proceedings of the IEEE power electronics specialists conference (PESC), pp 850–855
Meinhardt M, Duffy M, O’Donnell T, O’Reilly S, Flannery J, Mathuna CO (1999) New method for integration of resonant inductor and transformer-design, realisation, measurements. In: Proceedings of the IEEE applied power electronics conference and exposition (APEC), pp 1168–1174
Oliveira LMR, Cardoso AJM (2015) Leakage inductances calculation for power transformers interturn fault studies. IEEE Trans Power Del 30(3):1213–1220
Muhlethaler J, Kolar JW, Ecklebe A (2011) A novel approach for 3D air gap reluctance calculations. In: Proceedings of the IEEE energy conversion congress and exposition (ECCE Asia), pp 446–452
Van den Bossche A, Valchev VC, Filchev R (2002) Improved approximation for fringing permeances in gapped inductors. In: Proceedings of the IEEE industry applications conference, pp 932–938
Ouyang Z, Zhang J, Hurley WG (2015) Calculation of leakage inductance for high-frequency transformers. IEEE Trans Power Electron 30(10):5769–5775
Morris AL (1940) The influence of various factors upon the leakage reactance of transformers. J Inst Electri Eng 86(521):485–495
Doebbelin R, Benecke M, Lindemann A (2008) Calculation of leakage inductance of core-type transformers for power electronic circuits. In: Proceedings of the IEEE international power electronics and motion control conference (PEMC), pp 1280–1286
Ouyang Z, Thomsen OC, Andersen MAE (2009) The analysis and comparison of leakage inductance in different winding arrangements for planar transformer. In: Proceedings of the IEEE conference power electronics and drive systems (PEDS), pp 1143–1148
Urling AM, Niemela VA, Skutt GR, Wilson TG (1989) Characterizing high-frequency effects in transformer windings—a guide to several significant articles. In: Proceedings of the IEEE applied power electronics conference and exposition (APEC), pp 373–385
Mühlethaler J, Kolar JW (2012) Optimal design of inductive components based on accurate loss and thermal models. In: Tutorial at the IEEE applied power electronics conference and exposition (APEC)
Doebbelin R, Teichert C, Benecke M, Lindemann A (2009) Computerized calculation of leakage inductance values of transformers. Piers Online 5(8):721–726
AlLee G, Tschudi W (2012) Edison Redux: 380 Vdc brings reliability and efficiency to sustainable data centers. IEEE Power Energy Mag 10(6):50–59
Pratt A, Kumar P, Aldridge TV (2007) Evaluation of 400 V DC distribution in telco and data centers to improve energy efficiency. In: Proceedings of the IEEE telecommunications energy conference (INTELEC), pp 32–39
Burkart RM, Kolar JW (2017) Comparative \(\eta \)-\(\rho \)-\(\sigma \) pareto optimization of Si and SiC multilevel dual-active-bridge topologies with wide input voltage range. IEEE Trans Power Electron 32(7):5258–5270
Binns KJ, Lawrenson PJ (1973) Analysis and computation of electric and magnetic field problems. Elsevier, Amsterdam
Leuenberger D, Biela J (2015) Accurate and computationally efficient modeling of flyback transformer parasitics and their influence on converter losses. In: Proceedings of the European conference on power electronics and applications (EPE), pp 1–10
Eslamian M, Vahidi B (2012) New methods for computation of the inductance matrix of transformer windings for very fast transients studies. IEEE Trans Power Del 27(4):2326–2333
Lambert M, Sirois F, Martinez-Duro M, Mahseredjian J (2013) Analytical calculation of leakage inductance for low-frequency transformer modeling. IEEE Trans Power Del 28(1):507–515
Skutt GR, Lee FC, Ridley R, Nicol D (1994) Leakage inductance and termination effects in a high-power planar magnetic structure. In: Proceedings of the IEEE applied power electronics conference and exposition (APEC), pp 295–301
Bahl IJ (2003) Lumped elements for RF and microwave circuits. Artech House Microwave Library, Artech House
Rao SS (2011) The finite element method in engineering. Elsevier, Amsterdam
Sobol IM (1994) A primer for the Monte Carlo method. CRC Press, Boca Raton
Scholz F (1995) Tolerance stack analysis methods. In: Research and technology: boeing information, pp 1–44
Andrews LC (1992) Special functions of mathematics for engineers. Oxford Science Publications, Oxford
Agilent Technologies: Agilent 4294A precision impedance analyzer, operation manual (2003)
ed-k: Power choke tester DPG10-series (2017)
Hayes JG, O’Donovan N, Egan MG, O’Donnell T (2003) Inductance characterization of high-leakage transformers. In: Proceedings of the IEEE applied power electronics conference and exposition (APEC), pp 1150–1156
Omicron lab: Bode 100, User manual (2010)
Omicron lab: B-WIC & B-SMC, Impedance test adapters (2014)
Quarteroni A, Saleri F (2012) Scientific computing with MATLAB. Texts in computational science and engineering. Springer, Berlin
Hurley WG, Duffy MC, Zhang J, Lope I, Kunz B, Wölfle WH (2015) A unified approach to the calculation of self- and mutual-inductance for coaxial coils in air. IEEE Trans Power Electron 30(11):6155–6162
Bosshard R, Guillod T, Kolar JW (2017) Electromagnetic field patterns and energy flux of efficiency optimal inductive power transfer systems. bIn Electric Eng 99(3):969–977
Acknowledgements
This project is carried out within the frame of the Swiss Centre for Competence in Energy Research on the Future Swiss Electrical Infrastructure (SCCER-FURIES) with the financial support of the Swiss Innovation Agency.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Appendices
Appendices
These appendices review the theoretical background behind the different transformer equivalent circuits and the corresponding pitfalls (cf. “Appendix A”). The procedure for extracting equivalent circuits from analytical (cf. “Appendix B”) and numerical (cf. “Appendix C”) computation is also presented. Finally, some approximations are given for transformers with high magnetic coupling factors (cf. “Appendix D”).
1.1 A Transformer equivalent circuits
The magnetic equivalent circuit of a (lossless) linear transformer with two windings is fully described by the following inductance matrix (cf. Fig. 1b) [6, 11, 43]:
where \(L_{\mathrm {p}}\) is the primary self-inductance, \(L_{\mathrm {s}}\) the secondary self-inductance, and M the mutual inductance. The inductance matrix features three independent parameters. The energy, W, stored in the transformer (quadratic form of the inductance matrix) can be computed as
The energy stored in the transformer is always positive (i.e., the inductance matrix is positive definite), which leads to the condition \(M^2 < L_{\mathrm {p}} L_{\mathrm {s}}\). Therefore, the mutual inductance can be expressed with a normalized parameter, the magnetic coupling,
During open-circuit operation, the inductance matrix has the following physical interpretation. The self-inductances (\(L_{\mathrm {p}}\) and \(L_{\mathrm {s}}\)) represent flux linkages of the two windings themselves (defined as magnetizing flux linkages). The mutual inductance (M) describes the flux linkage between the windings (defined as coupled flux linkages). The differences between the self- and mutual inductances (\(L_{\mathrm {p}}-M\) and \(L_{\mathrm {s}}-M\)) represent the flux linkage differences (defined as leakage flux linkages), which can, for some designs, be negative (especially if \(N_{\mathrm {p}} \ne N_{\mathrm {s}}\).
With the aforementioned inductance matrix, the inductances, voltage transfer ratios, and current transfer ratios can be expressed for short-circuit and open-circuit operations (cf. Fig. 2b):
The terminal behavior (cf. (12)) and the stored energy (cf. (13)) of the transformer can be represented with different equivalent circuits. The circuits shown in Fig. 1b are directly related to the inductance matrix. On the contrary, Fig. 14 depicts equivalent circuits, which do not provide a direct insight on the magnetic flux linkages. The following important remarks can be given about the different equivalent circuits of transformers:
-
All the presented equivalent circuits (cf. Figs. 1b, 14) model perfectly the terminal behavior and the stored energy.
-
The equivalent circuits with more than three degrees of freedom (cf. Fig. 14a, b) are underdetermined and do not have a physical meaning, without accepting restrictive hypotheses [11].
-
The turns ratio of the transformer, \(N_{\mathrm {p}}:N_{\mathrm {s}}\), is not clearly defined for some transformer geometries (e.g., inductive power transfer coils) [47, 48]. This implies that the turns ratio is not always directly related to the flux linkages and to the magnetic parameters.
-
The magnetizing and leakage fluxes cannot be spatially separated. In other words, it is not always possible to sort the magnetic field lines into leakage and magnetizing field lines [48].
-
In a transformer, a phase shift is present between the primary and secondary currents, which originates from the modulation scheme, the load, and/or the losses. This implies that the distribution of the magnetic field lines is time dependent [11, 48]. Therefore, the leakage and magnetizing flux linkages only have a clear interpretation for a lossless transformer during open-circuit and short-circuit operations.
-
The magnetizing and leakage inductances are usually defined as the parallel and series inductances in the equivalent circuit, respectively. However, the values of these inductances depend on the chosen equivalent circuit (cf. Fig. 14) and therefore do not have a clear and/or unique physical interpretation. This also implies that the associated magnetizing current (\(i_{\mathrm {m}}\)) and leakage voltage (\(v_{\sigma }\)) only represent virtual parameters, which are not directly measurable [11].
It can be concluded that only the equivalent circuits shown in Fig. 1b feature a clear physical interpretation and therefore should be preferred. The circuits with more than three degrees of freedom (cf. Fig. 14a, b) should be avoided since they are unnecessarily complex. The circuits depicted in Fig. 14c, d are interesting for designing transformers with high magnetic coupling factors as explained in “Appendix D.”
1.2 Equivalent circuit from analytical computations
The analytical methods are based on several assumptions (cf. Sect. 3.1). The inductances are accepted to scale quadratically with the number of turns. The inductances are extracted for \(i_{\mathrm {p}} = 0 \vee i_{\mathrm {s}} = 0\) (the energy is confined inside the core and air gaps) and for \(+N_{\mathrm {p}} i_{\mathrm {p}} = -\,N_{\mathrm {s}} i_{\mathrm {s}}\) (the energy is confined inside the winding window). Then, the following inductances can be extracted for a virtual 1 : 1 transformer:
The equivalent circuit (cf. (12) and (14)) of the transformer is extracted such that the stored energy (cf. (13)) matches, which leads to
The following expressions can be extracted for the open-circuit and short-circuit operations of the transformer:
1.3 Equivalent circuit from FEM simulations
Different methods exist for the extraction of the magnetic equivalent circuit of a transformer from numerical simulations (e.g., FEM): integration of the magnetic flux, computation of the induced voltages, extraction of the energy, etc. The energy represents a numerically stable parameter which is easy to extract. Therefore, the energy is extracted for the following cases: \(i_{\mathrm {p}} \ne 0 \wedge i_{\mathrm {s}} = 0\), \(i_{\mathrm {p}} = 0 \wedge i_{\mathrm {s}} \ne 0\), and \(+N_{\mathrm {p}} i_{\mathrm {p}} = -\,N_{\mathrm {s}} i_{\mathrm {s}}\). This last solution can be obtained by the superposition of the two first solutions. This leads to
It should be noted that these expressions are general since no assumptions are required for the geometry, the turns ratio, the coupling factor, etc.
1.4 Approximations for high magnetic coupling factors
For a transformer with a high magnetic coupling factor (\(k>0.95\)), the parameters of the equivalent circuits shown in Fig. 14 are converging together. Then, it is possible to define the transformer with the following parameters:
where \(L_{\sigma }\) is the leakage inductance, \(L_{\mathrm {m}}\) the magnetizing inductance, and \(\ddot{u}\) the voltage transfer ratio. These three parameters, which are nearly independent of the chosen equivalent circuit, are typically used for the design process of transformers.
Figure 15 illustrates the leakage voltage and magnetizing current obtained with the equivalent circuits depicted in Fig. 14c, d for the considered MF transformer (\(k = 0.986\), series-resonant LLC converter, cf. Fig. 2). It can be seen that the aforementioned approximations (cf. (31), (30), and (32)) are valid.
With these assumptions, a clear and unique definition of the leakage and magnetizing fluxes is achieved. The leakage field, which is linked to the magnetizing inductance (\(L_{\sigma }\) and \(v_{\sigma }\)), is located inside the winding window and is related to the load current (series inductance). The magnetizing field, which is linked to the magnetizing inductance (\(L_{\mathrm {m}}\) and \(i_{\mathrm {m}}\)), is located inside the core and air gaps and is related to the applied voltage (parallel inductance). During rated operating condition, the leakage and magnetizing magnetic fields feature \({90}^{\circ }\) phase shift (cf. Fig. 15).
Rights and permissions
About this article
Cite this article
Guillod, T., Krismer, F. & Kolar, J.W. Magnetic equivalent circuit of MF transformers: modeling and parameter uncertainties. Electr Eng 100, 2261–2275 (2018). https://doi.org/10.1007/s00202-018-0701-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00202-018-0701-0