DC-Bias Specifications for Gapped Ferrite Cores
Oct 1, 2003 12:00 PM
By Mauricio Esguerra, Ferrite Division, EPCOS AG, Munich, Germany
The well-known problem of defining the minimum inductance value for a target roll-off and dc current is addressed in the frame of a hysteresis model.
Click here for the enhanced PDF version of this article
News & Features From Auto Electronics
Committed to improving hybrid electric cars
New Motors for Hybrid Vehicles
Battery Firms Battle for Hybrid Hegemony
Innovative Bipolar Plates for Fuel Cells
See More Headlines
Top Articles
Exploring Current Transformer Applications
Ultracapacitor Technology Powers Electronic Circuits
Buck-Converter Design Demystified
Sensorless Motor Control Simplifies Washer Drives
PET Resources
Buyer's Guide
Conferences
Engineering Jobs
Power Electronics Events
Rent Our Lists
Spotlight on Digital Power
The widespread use of gapped ferrite cores for inductive components subject to a superposed dc current poses a challenge to the way the required properties are specified. The importance of attaining a precise definition of target values is driven by the need of miniaturization, on one hand, and the slow progress of material performance, on the other. This is because incrementing key material properties requires advancement in both material composition and processing in order to push the limits.
The conventional way to formulate a dc-bias specification for a gapped core based on measurements shown in Fig. 1.
A target roll-off in the range of 10% to 30% is linked to a dc flux density as estimated from the dc current and the gapping factor β, defined by the reciprocal difference between the effective and the initial permeabilities: (Eq. 1, 2)
N stands for the number of turns, I for the current, l
e for the effective magnetic length of the core and g for the air gap. Note that the validity of Equation 1 improves with increasing air gaps.It is then verified if the resulting value is distant enough, e.g. 20%, from the material saturation figure as judged by empirical data. The roll-off referred to the lower tolerance limit of the inductance minus a safety margin is then assigned to this current.
The above described semi-quantitative procedure can be improved by taking into account the material behavior under dc-bias. To this end, a model of the nonlinear magnetic response describing the permeability roll-off as a function of flux density is needed. One possibility is the classical model by Gans [1], which describes a universal function that depends on initial permeability and saturation. However, only a certain type of materials follows the Gans curve because features such as the squareness of the hysteresis loop (which is reflected in the inductance vs. current curve) are missing. Therefore, a closer representation has to start from hysteresis modeling.
Hysteresis Model and Reversible Permeability
The model proposed by the author [2] consists of solving the Hodgdon [3] hysteresis differential equation in the formulation H(B) with the major loop, as a particular solution. For the branches of the major loop a heuristic description has been found, which fits the lower H
The fit parameters are besides the saturation B
To compare the model with measured curves, a relationship between the non-directly measurable dc flux density B
These equations yield curves in excellent agreement with measured values for a variety of soft ferrite materials [4].
Roll-off at Saturation
With the help of Equation 4, the permeability vs. dc field for cores with air gap can be calculated. For the inductance, the effective reversible permeability follows from Equations 2 and 4: (Eq. 6)
and for the effective dc field: (Eq. 7)
The above equations can then be applied to answer the following question: If the shearing line described by Equation 1 is prolonged to cross the saturation line, which roll-off corresponds to the resulting value for the effective field (dubbed H
the roll-off is 50%. This can be proofed both theoretically [4] and by measurements on a gapped toroids (Fig. 4: R9.5 in material T38, µi=10000, µe=270) for which the dc current has been rescaled by a factor (Eq. 9)
following Equation 2 and 7, yielding values in Tesla. The saturation value can then be read at the 50% saturation yielding 410 mT in excellent agreement with the directly measured value. Of course, values higher than the saturation do not have any physical meaning.
When applying the above procedure to core shapes other than rings, a distribution of cross-sectional areas has to be taken into account. This means that the corresponding flux density distribution of the core has to be calculated section by section. This is shown for a highly inhomogeneous shape, such as EP13 in Fig. 5, along with a rescaling of the current by the minimum cross-sectional area, which represents the bottleneck in terms of saturation. (Eq. 10)
Remarkably, the corrected EP13 curves and the ring core coincide exactly at the 50% roll-off, yielding the same material saturation figure.
Distance to Saturation (DTS)
The results presented so far show that the dc bias can be precisely defined relative to the saturation point. With Equations 4 and 6, curves for the roll-off vs. the relative distance to saturation have been calculated for typical material parameters at different temperatures, as shown in Fig. 6. With the help of these curves, the choice of roll-off can be converted via the relative distance into a corresponding current, based on the knowledge of material and core parameters.
AL -Tolerances
When considering the effect of A
(Eq. 12)
The constant involves the standard deviation for the permeability σ
DC-Bias Specification
Since the target of an application is to have a certain inductance: (Eq. 13)
the selection of A
The target roll-off RO with respect to the nominal inductance is defined as the lower inductance limit: (Eq. 14)
The current corresponding to the target roll-off referred to the upper tolerance (of µ
e ) is the setting parameter: (Eq. 15)
The above procedure provides a valid specification for all possible A
Otherwise, the inductance vs. dc-current curve corresponding to the lower A
Temperature Effects
The material parameters of ferrite materials are known to be strong temperature-dependent. To adapt the above results from a given temperature, i.e. 25°C, the following parameters need to be corrected in their temperature dependence:
B
µ
DTS: cf. Fig. 6
The adaptation of these parameters mainly affects the setting current given by Equation 15. Because of the comparably large gaps considered here (Eq. 8), the minimum inductance may be considered as temperature-independent. This is desirable from an application point of view and correct as long as T
The specification procedure can be therefore complemented with a final step:
3) Setting current at the temperature T2. (Eq. 18)
The advantage of this equation as opposed to a direct calculation for every temperature is that a known specification that has been defined at, say, room temperature can easily be transferred to a different temperature. Even though the ratio of saturation values is the dominating factor (see example below), the DTS term is necessary to have correct setting currents for all temperatures. The specification procedure can be best illustrated by the following example (Fig. 7):
Core: RM8
A
Material: N87
µ
a(25°C)=2.9 a(100°C)=5.1
µ
H
Inductance: L=1.3 mH A
Roll-off: RO=20%
Result:
1) From Eq. 14 follows
2) From Fig. 6:
3) For T
Conclusion
A well-defined dc-bias specification for ferrite cores with a sufficiently large gap starts from the saturation properties of the core and the material via the 50% roll-off point. The result is a stable specification with higher values in both setting current and minimum inductance as compared to the conventional method.
The equations shown are not limited to the case of large gaps, which represents the most common design case and which can be handled in a simple way. As shown in [4] the model also can be applied for ungapped cores.
Acknowledgments
The author thanks D. Lange for suggesting the publication of this work and for fruitful discussions with him and with Dr. H. Meuche and Dr. J. Wrba. The author also thanks to F. Fontes and I. Kopecka for performing the precise measurements needed to assess the validity of the model.
References
1. R.M. Bozorth, Ferromagnetism, D.van Norstrand Co. Inc., New York: 1951.
M. Esguerra, “Modelling Hysteresis Loops of Soft Ferrite Materials,” International Conference on Ferrites ICF8, Kyoto: 2000, 220-222.
M. L. Hodgdon, IEEE Trans. Magn. 24 (1988) 3120.
M. Esguerra, to be submitted to IEEE Trans. Magn.
For more information on this article, CIRCLE 331 on Reader Service Card

