High-Frequency Gap Losses in Nanocrystalline Cores

Wang, Yiren; Calderon-Lopez, Gerardo; Forsyth, A.J.

doi:10.1109/tpel.2016.2594083

Cited by 63 publications

(42 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Regarding the relative permeability considering the DC bias characteristics, Fig. 10 shows the comparison result between approximated results obtained from (5) and Table 2, and measured values. It is clear that the approximated results using (5) is consistent with the measurement results.…”

Section: Core Loss Calculation Using Circuit Simulatormentioning

confidence: 99%

Comparative Evaluation of Electrical and Calorimetric Methods to Estimate Core Loss in Powder Cores

et al. 2019

View full text Add to dashboard Cite

The utilization of powder cores for many power electronic applications has drawn a significant amount of attention owing to their attractive magnetic properties. However, because of their low relative permeability characteristics, a precise measurement of the core loss is very difficult to obtain. Imprecise estimation of the core loss may lead to an inaccurate thermal design of power converters. Measuring and calculating the accurate value of the core loss allows the circuit designer to design a more efficient system. This paper discusses the revalidation of electrical measurement by comparing the electrical method with the calorimetric method in powder cores. The calorimetric method is one of the most promising methods to accurately measure the core loss; however, it is time consuming. A difference less than 10% has been reported for the core loss measurement error while comparing the electrical method and the calorimetric method in various conditions. These results indicate that the electrical method using the B-H analyzer is effective for measuring the core losses in some conditions for powder cores. Along with the theoretical discussion, simulation and experimental tests are also conducted.

show abstract

Section: Core Loss Calculation Using Circuit Simulatormentioning

confidence: 99%

Comparative Evaluation of Electrical and Calorimetric Methods to Estimate Core Loss in Powder Cores

et al. 2019

View full text Add to dashboard Cite

show abstract

“…The core losses are estimated based on the charts given by the manufacturer (METGLAS, Inc., CC core) [21]. In addition, high-frequency gap loss P gap_L in nanocrystalline cores [22] can be computed as in Equation (19).…”

Section: Inductor Lossesmentioning

confidence: 99%

Optimized Multiport DC/DC Converter for Vehicle Drivetrains: Topology and Design Optimization

et al. 2018

View full text Add to dashboard Cite

DC/DC Multiport Converters (MPC) are gaining interest in the hybrid electric drivetrains (i.e., vehicles or machines), where multiple sources are combined to enhance their capabilities and performances in terms of efficiency, integrated design and reliability. This hybridization will lead to more complexity and high development/design time. Therefore, a proper design approach is needed to optimize the design of the MPC as well as its performance and to reduce development time. In this research article, a new design methodology based on a Multi-Objective Genetic Algorithm (MOGA) for non-isolated interleaved MPCs is developed to minimize the weight, losses and input current ripples that have a significant impact on the lifetime of the energy sources. The inductor parameters obtained from the optimization framework is verified by the Finite Element Method (FEM) COMSOL software, which shows that inductor weight of optimized design is lower than that of the conventional design. The comparison of input current ripples and losses distribution between optimized and conventional designs are also analyzed in detailed, which validates the perspective of the proposed optimization method, taking into account emerging technologies such as wide bandgap semiconductors (SiC, GaN).

show abstract

“…k, α, β, and γ are material-dependent constants. Values of the constants for Finemet material operating at high frequencies were determined by FEA in [16,21], and the values used in this paper are k= 1.6810 -3 , = 1.72, = 2 and = 1.65 [16].…”

Section: B Loss Modellingmentioning

confidence: 99%

“…Nanocrystalline tape-wound cores, such as Finemet [13] and Vitroperm [14], offer low core losses and high saturation flux densities, making them an attractive choice for power-dense converter designs [15]. However, due to the high electrical conductivities of the amorphous metal ribbon that forms the cores, intense heating can occur around air gaps in the magnetic circuit due to the perpendicular component of the fringe-field [16,17]. One way to reduce the hot spots in the core is through the use of high-thermal-conductivity heat spreaders placed around the gap [18], for example using aluminum nitride.…”

Section: Introductionmentioning

confidence: 99%

Rapid Thermal Analysis of Nanocrystalline Inductors for Converter Optimization

Scoltock

Wang

Calderon-Lopez

et al. 2020

IEEE J. Emerg. Sel. Topics Power Electron.

Self Cite

View full text Add to dashboard Cite

To capitalize fully on modern component technologies such as nanocrystalline cores and wide-bandgap devices, multi-objective converter design optimization is essential, requiring simple, accurate component models. In this work, a lumped parameter thermal model is presented for nanocrystalline inductors with ceramic heat spreaders. The key challenge is the non-uniform loss distribution in gapped, tape-wound cores, particularly the high loss densities adjacent to the gaps. However, uneven loss distributions are not handled easily by lumped-parameter techniques. It is shown that by treating the ceramic heat spreaders as 'passive' heat sources, a simple thermal model of the inductor can be derived to estimate the hot spot temperature of the core. The model is validated through comparison with 3-D finite element analysis (FEA) and experimental measurements on a 60 kW DC-DC converter. The proposed model offers a comparable level of accuracy to FEA with a fraction of the running time, executing in 99 µs in MATLAB.

show abstract

High-Frequency Gap Losses in Nanocrystalline Cores

Cited by 63 publications

References 14 publications

Comparative Evaluation of Electrical and Calorimetric Methods to Estimate Core Loss in Powder Cores

Comparative Evaluation of Electrical and Calorimetric Methods to Estimate Core Loss in Powder Cores

Optimized Multiport DC/DC Converter for Vehicle Drivetrains: Topology and Design Optimization

Rapid Thermal Analysis of Nanocrystalline Inductors for Converter Optimization

Contact Info

Product

Resources

About