Researchers Propose Accurate Calculation for Inductor Air Gap in High Power Converters

Researchers from College of Electrical Engineering and Automation, Fuzhou University, China presented a novel more accurate calculation method for inductor air gap length in high power DC–DC converters.

Abstract

High-power inductors are fundamental components in high-power DC–DC converters, with their performance being a crucial metric of converter efficiency. This paper presents an in-depth analysis of a novel calculation method for the air gap length in such inductors.

Taking into account the effects of air gap diffusion and the winding magnetic field, an expression for the air gap diffusion radius is derived, focusing on a distributed air gap structure. Furthermore, models for calculating the air gap and winding reluctance are developed, grounded in electromagnetic field theory. An equivalent magnetic circuit model, formulated based on Kirchhoff’s second law, facilitates the proposed method for air gap length calculation. This study also involves the development of 3D models for both discrete and decoupled integrated inductors.

The comparison between simulation outcomes and calculated air gap lengths indicates a maximum error of less than 8%, with the minimum error being as low as − 0.79%. Compared with traditional methods, the calculation method proposed in this paper has significant advantages. Additionally, the discrepancy between calculated values and experimental measurements is found to be 1.11%. These results validate the accuracy and applicability of the theoretical analysis and calculation method, underscoring their significance in the design and optimization of high-power DC–DC converters.

Magnetic reluctance analysis and modeling

In high-power DC–DC converters, a significant DC component in inductors makes the magnetic core prone to saturation. Therefore, introducing an air gap becomes necessary to address this issue. For a pre-designed inductor in such a converter, parameters like inductance value, number of turns in the winding, magnetic core cross-sectional area, etc., are predetermined. The air gap length can be calculated by establishing the magnetic reluctance model of the inductor. This paper focuses on the topology of a high-power DC–DC converter, specifically an interleaved parallel Buck-Boost converter.

Winding reluctance analysis

The reluctance model of the discrete inductor is chosen to calculate the winding reluctance. When the number of turns and the current in the winding are determined, the magnitude of the magnetic flux in the entire winding section can be obtained.

This paper will adopt a calculation method similar to that used for calculating transformer leakage inductance to calculate the winding magnetic flux accurately. When the magnetic flux inside the winding is uniformly and parallelly distributed. Since the diffusion reluctance of the air gap has been considered when calculating the air gap reluctance, the influence of the diffusion magnetic field of the air gap can now be ignored.

Air gap calculation

Based on the calculated formulas for air gap reluctance and winding reluctance from the previous analysis, an equivalent magnetic circuit for the inductor needs to be established to determine the length of each air gap. Assuming a uniform distribution of air gaps and equal size for each segment of the air gap.

Simulation and experimental validation

The 3D simulation models for the discrete inductor and the decoupled integrated inductor were created. The accuracy of the air gap length calculation method is verified through the simulation of the two inductor models. When the inductance value is known, the size of each segment of the air gap under different analyses is calculated and compared with the simulation results. Additionally, the method is validated for different inductance values. Finally, the error of this calculation method is obtained, confirming the correctness of the calculation method.

The comparison between the results of the proposed calculation method, the Maxwell simulation and the traditional method under different segments are shown in Figure 1. The Figure 1. shows the variation of the calculated and simulated air gap results with n when the inductance value is known.

As the number of air gap segments increases, the length of each segment decreases. Meanwhile, the calculation errors at different numbers of air gap segments are shown in Fig. 2. The results indicate a good agreement between the proposed calculated and simulated results, demonstrating the high accuracy of the proposed calculation method. 

Figure 1. Results of the proposed inductor air gap calculation method, simulation results of different segments (L = 68 µH).
Figure 2. Calculation errors (L = 68 µH).

Conclusion

This paper delves into the application of the reluctance model for accurately calculating the air gap in inductors, particularly under conditions of a large air gap, using a distributed air gap approach. The focus is on discrete and decoupled integrated inductors within the context of bidirectional two-channel DC–DC converters.

By employing electromagnetic field theory, models for both air gap and winding reluctance are established. This includes a division of air gap reluctance into inner and diffusion components, with a specific emphasis on defining the radius of the air gap diffusion effect, a critical factor in determining air gap length. In the process of calculating winding reluctance, the air gap diffusion field is notably omitted, and the Rogowski factor is introduced to ascertain the equivalent winding height.

Additionally, the paper posits that air gap diffusion reluctance can be equated to both ring and ring shell forms, highlighting its significance in influencing the overall air gap diffusion reluctance and the precision of air gap length calculations. Comparative analysis of calculated air gap lengths, based on both discrete and decoupled integrated inductors, against simulated and measured results, is presented.

The findings indicate that the discrepancy between calculated and simulated values is less than 8%, with a minimum error margin of − 0.79%, under both constant and variable inductance conditions. Compared with traditional methods, the calculation method proposed in this paper has significant advantages. The error margin between calculated and measured values stands at − 1.11%. The concluding part of the paper confirms the validity and utility of the theoretical framework and the proposed calculation method through simulation and experimental results.

Read the full paper:

Zeng, X., Chen, W., Yang, L. et al. An accurate calculation method for inductor air gap length in high power DC–DC converters. Sci Rep 14, 3473 (2024). https://doi.org/10.1038/s41598-024-54194-7

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