Abstract

This paper studies the loss-optimal design of a power inductor employed in a 2 kW, 400 V input DC–DC converter. The design of an inductor is subject to a large number of design parameters and the implications of the different design parameters on the losses are often not clearly traceable in a full optimization, e.g., different current ripple amplitudes can lead to designs with similar losses, as larger ripple amplitudes lead to increased AC core and winding losses but lower DC losses in the winding due to lower inductance values and/or numbers of turns. In an effort to achieve a comprehensible description of the implications of the key design parameters (switching frequency, $f_\text{s} $ , current ripple, r , number of turns, N ) on the losses, the remaining parameters, e.g., core (E55/28/21 N87) and type of conductor (litz wire), are considered to be given. In a first step, the investigation is based on a simplified analytical model, which is refined in a step-by-step manner, e.g., to consider core saturation. In a second step, the implications of further critical aspects on the losses, e.g., temperatures of core and coil, are examined using a comprehensive semi-numerical model. Surprisingly, the evaluation of the losses calculated in the $f_\text{s}$ – $r$ domain reveals that nearly minimum inductor losses are obtained for a current ripple that is inversely proportional to the frequency, i.e., for a constant inductance, within a wide frequency range, from 200 kHz to 1 MHz. Furthermore, the investigation reveals a decrease of the losses for increasing frequencies up to 375 kHz, e.g., from 4.32 W at 80 kHz ( r = 110 %) to 2.37 W at 375 kHz ( r = 18 %). The detailed analysis related to these results enables the compilation of a simple two-equation guide for the design of an inductor that achieves close to minimum losses. In a next step, interesting trade-offs are identified based on a study of the design space diversity, e.g., with respect to low cost and increased partial-load efficiency. The findings of this work are experimentally verified, i.e., the losses of three different inductors are measured with an accurate calorimetric method and at four different frequencies, ranging from 150 kHz to 700 kHz.

Highlights

  • Wide-bandgap semiconductors have lead to unprecedented switching frequencies, fs, for power converters up to several MHz, commonly using modulation strategies that allow for soft transitions of the semiconductors (e.g., Triangular Current Modulation, TCM) [1], [2]

  • This paper studies the loss-optimal design of a power inductor employed in a 2 kW, 400 V input DC–DC converter

  • The design of an inductor is subject to a large number of design parameters and the implications of the different design parameters on the losses are often not clearly traceable in a full optimization, e.g., different current ripple amplitudes can lead to designs with similar losses, as larger ripple amplitudes lead to increased AC core and winding losses but lower DC losses in the winding due to lower inductance values and/or numbers of turns

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Summary

INTRODUCTION

Wide-bandgap semiconductors have lead to unprecedented switching frequencies, fs, for power converters up to several MHz, commonly using modulation strategies that allow for soft transitions of the semiconductors (e.g., Triangular Current Modulation, TCM) [1], [2] This is motivated by the expected increase in the power density on the system level, mainly due to the decrease of the volume of the magnetic components and/or the filtering requirements, e.g., with respect to the EMI CISPR regulations. Using the Performance Factor (PF = Btot fs), the optimal region of operation of a transformer, with respect to the applied level and frequency of the magnetic flux density is defined [4]–[7] This is further improved in [8], where the impact of the High-Frequency (HF) copper losses is considered.

ANALYTICAL MODEL AND BASIC DESIGN PRINCIPLES
VALIDATION WITH FURTHER DESIGNS
LITZ WIRE STRAND DIAMETER 300 μm
DISTRIBUTED AIR GAP
FAST DESIGN GUIDE
DESIGN SPACE DIVERSITY
Findings
VIII. CONCLUSION
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