Design of Microfabricated Inductors
L. Daniel
C. R. Sullivan
S. R. Sanders
From IEEE Transactions on Power Electronics, vol. 14, no. 4, pp. 709–
723.
c
°1999
IEEE. Personal use of this material is permitted. However, permission
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IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 14, NO. 4, JULY 1999
709
Design of Microfabricated Inductors
Luca Daniel, Student Member, IEEE, Charles R. Sullivan, Member, IEEE, and Seth R. Sanders, Member, IEEE
Abstract— Possible configurations for microfabricated inductors are considered. Inductance can be set by adjusting permeability through control of anisotropy of a permalloy core or via
a patterned quasi-distributed gap. A design methodology based
on a simple model is proposed. A more accurate model and a
numerical optimization are also developed. Design examples for
5- and 10-MHz buck converters and 2.5-MHz resonant converter
applications are presented.
Index Terms—Anisotropy, application, automatic design, buck
converter, code, coil fabrication process, computer program, control of permeability, design, design example, design methodology,
distributed gap, eddy currents, efficiency, end turns, fabrication
process, hard-baked photoresist, high-frequency power inductors,
hysteresis losses, inductance adjustment, inductor geometries,
inductors, loss analysis, magnetic thin films, microfabricated inductors, microfabricated inductors design, multilayer core, multiturn windings, numerical simulation, optimization, permalloy,
planar inductors, power density, quasi-distributed gap, resonant
converter, secondary effects, SEM pictures.
I. INTRODUCTION
ECENT advances in microfabrication of transformers,
using thin-film magnetic materials, show much promise
for miniaturization of power converters [1]–[10]. Microfabrication techniques can produce fine patterning and thin films,
which are advantageous for the control of eddy-current losses.
This allows the use of magnetic metal alloys at frequencies
in the range of 2–20 MHz. These materials can have high
usable flux density and low-hysteresis loss [8]. Although some
inductors have been built using similar techniques [11]–[20],
many have not been designed for power applications. Through
design and optimization specifically for these applications,
higher efficiencies and power densities can be achieved.
In this paper, various geometries and fabrication methods
for inductors are considered. Design calculations and optimizations for one configuration are developed. Specific results for
example designs are presented.
R
II. INDUCTOR CONFIGURATIONS AND GEOMETRIES
The designer of a magnetic component with a magnetic core,
fabricated by deposition of metal or other films on a substrate,
faces a basic choice between depositing two layers of magnetic
material with a conductor in between, or depositing two layers
Manuscript received October 20, 1997; revised September 9, 1998. This
work was supported by grants from the National Semiconductor Corporation
and the University of California Micro Program. Recommended by Associate
Editor, J. Sarjeant.
The authors are with the Department of Electrical Engineering and
Computer Sciences, University of California, Berkeley, CA 94720
USA
(e-mail:
dluca@eecs.berkeley.edu;
sanders@eecs.berkeley.edu;
Charles.R.Sullivan@Dartmouth.EDU).
Publisher Item Identifier S 0885-8993(99)05569-6.
Fig. 1. Cross section of a planar inductor. The low-permeability material acts
as a distributed gap. The resulting field distribution controls ac conduction
losses in multiturn planar windings.
of conductor with a magnetic core in between. A device
that uses two layers of conductor requires low resistance via
contacts, and does not allow optimal use of an anisotropic
magnetic material. As discussed in more detail in [8] and
[21], a configuration using two layers of magnetic material
above and below a conductor is preferred for these reasons,
and because it generally allows higher power density. This
geometry has been applied in [9] and [20].
A high-frequency inductor with substantial ac current requires careful design to avoid high-ac conduction losses. When
a material with appropriate permeability is not available, highpermeability materials are generally used, and most designs
will require increasing the overall reluctance of the magnetic
path by introducing a gap. An air gap can adversely affect
the field distribution, causing eddy currents, particularly with
planar conductors and multiturn windings.
A series of fine gaps could be used to form a “quasidistributed gap” to approximate a low-permeability material
[8], [22], [23]. However, the scale of patterning that would be
required for a typical design, on the order of a few microns,
is difficult to achieve with a multilayer core [9].
Discrete gaps would be more easily placed at the “magnetic
vias” where the top and bottom core materials connect. This
leads to a large vertical field in the winding space, and
problems with ac losses in the conductor. Turns that are wide
compared to a skin depth, especially in multiturn designs,
become problematic. Designs that use single narrow turns,
such as in the “meander coil,” are preferred [9], [17], [24].
Perhaps the most elegant solution to the gap problem
is the use of a low-permeability magnetic material to act
as a distributed gap across the top and the bottom of the
conductors, as shown in Fig. 1. In this case, the field lines are
nearly horizontal in the winding space, and the ac resistance
effects are determined by the height of the conductor, not
its width. Additionally, the number of turns does not affect
ac resistance as long as the turns accumulate horizontally,
rather than vertically [8], [25]. If the permeability required
for a distributed gap is achievable, the distributed gap design
0885–8993/99$10.00 1999 IEEE
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(a)
Fig. 4. Copper coils are electroplated over the laminated core. A mold is
not needed. The coils in this SEM are 40 m thick, and the spacing between
turns is 40 m.
(b)
Fig. 2. (a) Schematic and (b) top views of a planar inductor approximating
the design in Fig. 1.
Fig. 5. Core laminations are sputtered over bumps of hard-baked photoresist
which are 60 m thick and allow complete closure of the magnetic path.
Fig. 3. SEM of a microfabricated planar inductor approximating the design
in Fig. 1.
is preferred. A way to control permeability in anisotropic
permalloy is presented in Section III. An approximation of the
distributed gap design can be fabricated as shown in Figs. 2
and 3 using a process similar to that presented in [9] and [10],
but with a modified coil fabrication process. In [9] and [10], a
photoresist mold is used to insulate the turns. But the thickness
obtainable with such a mold is limited in practice. For thicker
coils, the following process could instead be used. A thin
layer of chrome (7 nm) and a seed layer of copper (200 nm)
are evaporated over a 5- m layer of insulation photoresist.
The copper seed layer is patterned, but the chrome layer is
not patterned. The coil is then deposited by electroplating in
a copper sulfate solution. The copper does not grow over
the unpatterned chrome layer and a mold is not necessary.
Schematic sections of the electroplated turns are shown in
Figs. 14 and 15. Finally, the chrome layer can be removed with
a sputter-etch process. Figs. 3 and 4 show the coil over the
lower part of the core after the plating and the sputter-etching
process.
The magnetic path could be closed by a lid applied on the
top and built on a second silicon wafer [10]. The core laminations can be sputtered over bumps of hard-baked photoresist
(Fig. 5). Such bumps allow complete closure of the magnetic
path when the lid is applied.
Finite-element simulations [26] of the distributed gap geometry in Fig. 2 have been used to predict the value of the
loss for a design example at the operating frequency
MHz (see Fig. 6). From the simulation, the ac resistance factor
for a 5-MHz sinusoidal waveform, assuming a lossless core,
. From a one-dimensional (1-D) analysis as in
was
would have been expected.
Section IV, a factor of
The difference can be explained by the reluctance of the side
DANIEL et al.: DESIGN OF MICROFABRICATED INDUCTORS
711
Fig. 6. Finite-element simulation of the ungapped configuration. The dimensions are the same as in Figs. 3 and 4, which are approximately those in the
example design presented in Table I. The ac resistance factor at 5 MHz from
the simulation is Fr = 1:8.
Fig. 8. Hard-axis permeability controlled by a dc magnetic field applied in
the easy-axis direction: r = 4300 at zero-field applied, r = 370 with 788
A/m applied, and r = 230 with 1800 A/m applied.
Fig. 7. Simulation of the example design with three gaps on the upper lid
core. Each gap is 12 m wide. The ac resistance factor at 5 MHz from the
simulation is Fr = 1:8.
portions of the core, which are of low-permeability material
in the simulation, unlike those in Fig. 1.
For the same device a quasi-distributed gap configuration
could also be attempted by the creation of several gaps along
the upper part of the core. A finite-element simulation (Fig. 7)
of a device with three gaps, positioned over each of the three
turns of our design example, gives an ac resistance factor
, which promises performance close to that of the
ungapped design.
III. CONTROL
OF
PERMEABILITY
A given permeability may be achieved in several different
ways. A particular material or alloy may be selected to meet
the requirements of a given design. Since this might require a
new magnetic material deposition process for each design, a
more practical approach would be to develop processes for a
limited set of materials giving a range of permeabilities, and
then to adapt a design to match one of the available materials.
A single material in which the permeability could be varied
during deposition or by other means would be even better.
Anisotropic materials such as permalloy (NiFe alloy) allow
the possibility of controlling permeability through the application of a dc magnetic field in the easy-axis direction, while
the inductor operates with the main flux path in the hardaxis direction. The applied field acts to increase the anisotropy
energy, decreasing the permeability while maintaining the lowhysteresis loss and high-saturation flux density characteristics
of the material. Using an applied field of 1800 A/m, control
of permeability down to one eighteenth of the zero-field
permeability has been demonstrated, as shown in Fig. 8. This
has been proposed as a way to make devices with variable
inductance, controlled by the applied field [11]. By applying
a fixed field strength with a permanent magnet, it is possible,
in principle, to use this as a method to set the permeability at
the desired value for a given design.
IV. DESIGN BASED
ON A
SIMPLIFIED MODEL
A design methodology is presented for a distributed or
quasi-distributed gap inductor, as in Fig. 2, to be used in
a power converter circuit. A pulsewidth modulation (PWM)
buck converter [27] is chosen as an illustrative example, but
the calculations could be adapted for other converter topologies as shown in Appendix III. The optimization, detailed in
Appendix I, follows a procedure similar to that developed for
a transformer design in [8].
A. Definition of the Simplified Model
In a first analysis the end turns, the lateral width
needed
to close the core, and the lateral separation
between turns
have been neglected (see Fig. 2). A more accurate model will
be presented in Section V to account for the effects of these
“nonactive” spaces.
First, the losses and power handling per unit area are
calculated. Appendix I-A contains details on these. The field
in the window area is assumed horizontal. The ac losses in
the windings can then be estimated by a 1-D analysis [28] and
depend only on the ratio between the height of the conductor
and the skin depth , even for multiple turns. This is
described by an ac resistance factor
.
We calculate a Fourier representation for the current waveform, and we estimate the
factors for every significant
harmonic as in [29].
If anisotropic NiFe alloy is used for the magnetic core, the
main flux path can be chosen along the nonhysteretic hardaxis direction [8]. To control the eddy-current loss, a laminated
core is deposited as a multilayer film. Such loss is estimated
for each layer and for each significant harmonic of the flux
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IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 14, NO. 4, JULY 1999
density waveform and added together. For this estimation, the
flux density is assumed parallel to the layers.
B. Core Optimization Based on the Simplified Model
Design specifications referring to the buck-converter application can be chosen as: input voltage
, output voltage ,
dc, peak-to-peak ripple output current
, and
switching frequency
. The optimization calculations
are reported in Appendix I-B. The resulting tradeoff between
power density and efficiency is shown here.
According to (9) in Appendix I-A, the power loss in the
winding can be reduced by an increase in height of the
conductor . The improvement, however, is negligible for
conductors thicker than two skin depths. For this first-order
analysis,
could be chosen as about one to two skin depths.
Consideration of the neglected “nonactive” areas allows a
more accurate optimization of
as shown in Section V. The
power loss in the core, according to (11) in Appendix I-A,
can be made almost negligible by an increasing number of
laminations . Consideration of the fabrication costs would
be needed to optimize . We assume here a given number of
laminations. The height of the core can then be adjusted for
maximum power density as shown in [8], yielding (e.g., for
this buck-converter application) the expression
Fig. 9. Power density versus power loss percentage for a fixed number of
laminations = 12. Logarithmic scales are used for both axes. Parameters in
Table I have been assumed. End turns and the other “nonactive” areas have
been neglected.
N
This produces a favorable field configuration, and avoids introducing the inductance constraint in the optimization process.
The effective permeability required to produce the desired
inductance for the optimized design is calculated in Appendix
I-C and is reported here
(2)
(1)
is the “active” device area,
and
are the
where
respective resistivities of the core and of the conductor,
is
the duty cycle of the converter,
is a factor accounting
for the ac loss in the windings as defined in (9) of Appendix
I-A,
is a factor accounting for the harmonic loss in
the core as defined by (11) in Appendix I-A, and
is the first Fourier coefficient of the
current waveform as defined by (6) in Appendix I-A. Variable
is one half the peak-to-peak value of the ac flux density.
For an optimized design, the peak of the total flux density
should be close to (or at) the saturation level
[8]. Hence,
we choose
such that
.
Expression (1) for the maximum power density as a function of
the given efficiency is plotted in Fig. 9. Parameters in Table I
have been assumed as an example.
In designs optimized as described above, the power
loss is distributed between core and winding such that
. This relation, derived in Appendix
I-B, holds in general for all optimized designs of planar
inductors and transformers with the configuration in Fig. 2 as
long as hysteresis losses are neglected, core laminations are
thin compared to a skin depth and their number is decided a
priori, end turns and “nonactive” spaces are neglected, and
inductance requirements are met by adjusting permeability.
C. Inductance Adjustment
One way to satisfy the inductance requirement is by adjusting the permeability of the core as described in Section III.
is the current density per unit width of conwhere
ductor at the efficiency [Appendix I-C, eq. (23)]. For an
optimal design, choosing the efficiency completely specifies
the permeability .
As an example, assuming the parameters in Table I and
neglecting end-turn and the other “nonactive” spaces, designs
in the range
%
% are possible for values
of relative permeability in the range
, as
shown in Fig. 10. Practical designs generally require, for a
given efficiency, higher permeabilities than those shown in
Fig. 10. This is because the spaces to close the core and to
insulate the turns, neglected in this analysis, increase the length
of the magnetic path (see Fig. 2).
V. DESIGN BASED ON A MORE ACCURATE MODEL
In this section, a model and a numerical optimization are
developed to account also for end turns and “nonactive” spaces
needed to insulate turns and close the core (see
and
in Figs. 2 and 15).
A. Height of the Conductor and Number of Turns
The analysis and design optimization presented in
Section IV cannot be used to determine the optimal height of
conductor
and the number of turns . As
is increased
up to two skin depths, both ac and dc resistances decrease.
Beyond this point, the improvement in ac resistance is small.
With sufficient thickness, the dc loss can be made negligible
in relation to ac loss. For higher values of
there will not
DANIEL et al.: DESIGN OF MICROFABRICATED INDUCTORS
713
TABLE I
INDUCTOR EXAMPLE DESIGN FOR A 5-MHz ZERO-VOLTAGE-SWITCHING
BUCK CONVERTER [27], [31]. THE UPPER PART OF THE TABLE
CONTAINS THE INPUT PARAMETERS FOR THE DESIGN, AND THE LOWER
PART CONTAINS THE OUTPUTS (REFER TO FIGS. 2, 15, AND 16)
Fig. 10. Permeability versus power loss percentage for optimal designs at a
= 12. Logarithmic scales are used for both
given number of laminations
axes. Parameters in Table I have been assumed. End turns and “nonactive”
spaces have been neglected.
N
is a trade off between reducing resistance
conductor height
with a thicker conductor, or minimizing area by reducing
and
with a thinner conductor.
In a first-order analysis as shown in Section IV, the number
of turns does not affect the performance of the device. If
we consider end turns and “nonactive” spaces, when is too
small much space is used to laterally close the core. When
is too large, much space is wasted in the end turns. An optimal
value exists between these two extremes.
B. Refining of the Model
be significant advantages because only the dc losses, which
are already negligible, will be reduced.
When “nonactive” spaces are also taken into account, as
increases, the lateral width
required to separate the turns
required to close the core, assuming
and the lateral width
fixed slopes, will eventually become substantial (Fig. 15). This
effectively reduces the power density. Thus, the selection of
Unitless factors refine the model capturing the effects of
the spaces
and
as well as the effects of the end turns.
The formulas for the simplified model presented in Appendix
I-A are modified only by multiplicative coefficients as shown
in detail in Appendix II. The power loss in the end turns is
captured by the factor
such that
.
The factor
is defined such that
, where
is the length of the core (Fig. 2) and
is the total
length of the device including end turns. The quantity
represents half of the total width (Fig. 2) and is given by
the expression
, where
is the number
of turns,
is the width of each turn, and
accounts for
the nonactive width needed to close the core and to insulate
the turns.
For some designs, where
is much larger than the
height
, these factors are close to unity, reducing the
model to that presented in Section IV. However, for other
designs, consideration of the factors
,
, and
may
be necessary to achieve an optimal design. For example, for
low-output-current designs, the areas needed to close the core
and to separate the turns become significant compared to
the active area occupied by the conductor. In these cases,
the simplified model does not describe the device accurately,
and optimization based on the complete model is necessary.
Moreover, the same argument shows that low-current designs
generally have lower power density than higher current ones.
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IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 14, NO. 4, JULY 1999
If an efficiency of 94% is chosen for the design, a throughput
power density of 10.6 W/cm is calculated. The three main
parameters characterizing this design as found by the program
are: core height
m, number of turns
, and
conductor height
m. All the other parameters of the
device can be calculated from these three using [Appendix II,
eqs. (50)–(58), (60), (61), and (64)]. Table I collects all the
specifications and parameters of this design.
(a)
VI. POSSIBLE IMPROVEMENTS
(b)
(c)
OF THE
DESIGN
One of the main parameters is the specified switching
frequency of the converter. When the frequency is increased,
the flux carrying requirement decreases. The device can then
be made much smaller, while thinner core layers control
the increase of the eddy-current losses. An optimization has
been performed using a higher switching frequency:
MHz. The upper bound of 16 m to the height of the core
has also been removed. Fig. 12 shows the “power density
versus efficiency” curve resulting from this optimization. A
complete design is reported as an example in Table II where
an efficiency of 94% allows a power density of 25.3 W/cm .
The design methodology presented in this paper can also
be applied to other topologies of converters. As an example,
a design procedure is detailed in Appendix III for designs of
inductors to be used in resonant converters. An example design
for a 2.5-MHz resonant converter is presented in Table III.
VII. CONCLUSIONS
(d)
Fig. 11. Maximum power density and required permeability versus efficiency at f = 5 MHz. Specifications and technology parameters have been
assumed from the example design in Table I. The number of laminations is
fixed N = 12. The optimal number of turns n, heights of the conductor
hc , and core hs are also shown. In this example, hs has been limited to a
maximum of 16 m.
C. Optimization Based on the More Accurate Model
The problem of finding the optimal power density for a
given efficiency can be summarized and formulated mathematically, as presented in Appendix II-B, by a system of 8
equations [(48)–(55)] with 11 unknowns. Thus, the problem
has three degrees of freedom that can be used to maximize the
throughput power density for a given efficiency. A convenient
choice of the three variables for the optimization is given by
the height of the core , height of the conductor , and
number of turns . A Matlab program has been developed to
implement this optimization numerically [30]. As an example,
assuming the specifications and the material data in Table I,
we obtain from the program the curve in Fig. 11. The height of
the core in this specific example has been limited for practical
reasons to values not higher then 16 m.
A methodology for the design of microfabricated planar
inductors to be used in power conversion circuits has been
presented. Availability of low-permeability magnetic materials
is desirable for high-performance designs. Permeability of
anisotropic materials such as permalloy can be controlled
applying a dc magnetic field in the easy-axis direction. A
design tradeoff between power density and efficiency exists
and a method to calculate it and plot it is given. An example
design for a 5-MHz buck converter shows that a power density
of 10.6 W/cm is theoretically possible with an efficiency
of 94%. If the frequency is increased to 10 MHz, a power
density of 25.3 W/cm is calculated for the same efficiency.
The design methodology can be applied to other converter
topologies. As an example, the design of an inductor for a
resonant converter has been developed.
APPENDIX I
SIMPLIFIED MODEL ANALYSIS AND OPTIMIZATION
A. Definition of the Model and Loss Analysis
The meaning of the terminology can be found in Tables I
or II and in Figs. 2, 15, and 16. The end turns, the space to
insulate the conductors
and space to close the core
,
will be neglected in this analysis. Given these assumptions,
the “active” area is
(3)
The current waveform is assumed triangular as in Fig. 13.
DANIEL et al.: DESIGN OF MICROFABRICATED INDUCTORS
715
TABLE II
INDUCTOR EXAMPLE DESIGN FOR A 10-MHz BUCK CONVERTER. THE UPPER
PART OF THE TABLE CONTAINS THE INPUT PARAMETERS FOR THE DESIGN, AND
THE LOWER PART CONTAINS THE OUTPUTS (REFER TO FIGS. 2, 15, AND 16)
(a)
(b)
(c)
(d)
Fig. 12. Maximum power density and required permeability versus ef= 10 MHz.
ficiency when the switching frequency is increased to
Specifications and technology parameters have been assumed from the example design in Table II. The number of laminations is fixed
= 12. The
optimal number of turns , heights of the conductor c , and core s are
also shown.
f
n
h
N
h
We represent such waveform using a Fourier series
(4)
where
is the amplitude of the th harmonic
The power loss in the winding is estimated using
(5)
(7)
, introducing
which we refer to the dc component
the ripple factor, and the Fourier coefficients
Assuming a horizontal field in the winding area, the ac
resistance factors
can be estimated as in [28] and [29]
(6)
to approximate
We neglect harmonics higher then
the band-limited waveform of an actual converter.
(8)
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IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 14, NO. 4, JULY 1999
TABLE III
PARAMETERS OF EXAMPLE DESIGN FOR A RESONANT INDUCTOR. REFER TO
FIGS. 2, 15, AND 16. THE UPPER PART OF THE TABLE CONTAINS THE INPUT
PARAMETERS FOR THE DESIGN, AND THE LOWER PART CONTAINS THE OUTPUTS
the value
can be assumed. For quasi-distributed gap
designs as in Fig. 7, we use the value
.
Using (3), (5), and (7), the power loss in the winding per
unit area is
(9)
is the dc current density per unit width of
where
is the total
conductor and
ac factor defined such that
.
To control eddy-current loss in the core, we divide the
total height
into
laminations. The thickness of each
lamination
is smaller than two skin depths. In this case,
and frequency
for a sinusoidal flux density of amplitude
, the loss in one lamination due to eddy currents can
be approximated as in [32]
(10)
the same waveform and
Assuming for the flux density
Fourier representation of the current in (4) and assuming the
thickness of each lamination is smaller than two skin depths
for each considered harmonic, the eddy-current loss in the
core per unit area is
(11)
is the amplitude of the th harmonic,
is half of the flux density ripple,
are the
same coefficients defined by (6) used for the current waveform,
and
is a factor accounting for
the loss in the core due to the harmonic contributions. If
anisotropic material is used, as shown in Section III, the hysteresis losses in the hard-axis direction can be made negligible,
and (11) is the total core loss per unit area.
The throughput power for a buck converter is
where
Fig. 13.
Assumed inductor current waveform.
(12)
where
is the ratio between the conductor thickness
and the skin depth
at the th harmonic.
Parameter is the “Dowell” effective number of conductor
layers [28]. For distributed gap designs as in Figs. 1 and 6,
has been expressed as a function
where the output voltage
of the ripple of the flux linkage
and
as a function of the off time
, where
DANIEL et al.: DESIGN OF MICROFABRICATED INDUCTORS
717
is the duty cycle. Using these expressions the throughput
power density is
(13)
C. Estimation of the Permeability Required
to Produce the Desired Inductance
The current density
efficiency substituting for
using the optimal value
can be calculated for any
in (17), and
B. Optimization Based on Simplified Model
An efficiency objective is fixed and the throughput power
density is optimized, as in [8]. The efficiency constraint,
, is imposed by
(14)
Substituting the expressions from the previous analysis
(23)
For a closed-core structure, with low reluctance via connections, such as the high-permeability materials in Fig. 1, this
current density produces a field which can be calculated using
Ampere’s law
(24)
(15)
yielding
(25)
To facilitate calculations, this can be rewritten as
(16)
where
,
, and
. We solve (16) for
by choosing the largest root for largest power density
(17)
. Using (13) and (17), the power
where
density can now be expressed as a function of the variable
The field gives a flux density
(26)
should be chosen in order to have the
This flux density
maximum value of the flux density correspond to the saturation
level [8]
(27)
The desired flux density level
is then
(18)
(28)
Theoretically, one optimizes for the best height of the core
, but in practice calculations are easier if is calculated
first. Setting to zero the derivative with respect to of the
expression above, the optimal value
is found.
Using this value, the maximum power density is
is the ripple of the current.
where
To attain such a level, the permeability should be adjusted to
(19)
APPENDIX II
MORE ACCURATE PROBLEM FORMULATION AND OPTIMIZATION
The core loss per unit area is
(29)
A. Definition of the More Accurate Model
(20)
The winding loss per unit area is
(21)
In the optimal design, the losses will then be divided between
core and winding such that
(22)
The analysis refers to the configuration in Figs. 2 and 14–16.
Several factors have been neglected in the simplified model
presented in Appendix I-A: the width
to insulate adjacent
turns, the width
required to close the core laterally,
and the space occupied by the end turns and their effects
on the total dc resistance of the windings. These factors
will be included, refining the simplified model by means of
multiplicative unitless factors.
The width
to insulate adjacent turns is calculated using
(30)
where
is a constant dependent on the process. We assume
that for small conductor heights (
m), a hard-baked
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IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 14, NO. 4, JULY 1999
Fig. 14. Schematic section of the turns after the electroplating process
without a mold. Compare with the SEM in Fig. 4.
Fig. 16. Top view of the inductor end turns.
The total dc resistance, including the end turns, can be
estimated by the expression
(32)
Fig. 15.
where
the th turn (Fig. 16)
Schematic section of the inductor.
photoresist mold is used to insulate the turns. Due to the
photolithographic process, the minimum width of the mold is
approximately proportional to its height. For larger conductor
heights, a mold is not likely to be practical. In this case, a
process as described in Section II can be used. A copper “seed”
layer for an electroplating process is created over a thin chrome
layer. During the electroplating process, the copper does not
grow on the unpatterned chrome. Anyway, we observed that
the copper extends laterally from its seed layer by the same
amount of the final conductor height as shown in Fig. 14. The
space to separate the turns can still be assumed proportional
to their height. We use for the “no-mold process” a value
larger than the one used for the “mold process.” The turn width
and the separation width
are the equivalent widths for
rectangular section conductors with the same area of those
shown in Figs. 14 and 15.
The space
includes the space to close laterally the core,
the width
needed for the upper core to contact with the
lower core, and the width required by a lamination etching
process
(see Figs. 15 and 16)
is the radius of
(33)
where
is a unitless factor accounting for the additional resistance of
the end turns.
The total length of the device, including the end turns, can
be estimated by the expression
(34)
. The total width of the
which defines the unitless factor
device, including the space
to insulate adjacent turns, and
the space
to close the core laterally can be approximated
by the expression
(31)
(35)
As presented in Section II and in [10], the magnetic path is
closed by a core processed on another silicon substrate. Hardbaked photoresist bumps produce the needed slope
to
allow the upper core on the “lid wafer” to contact the lower
core on the “coil wafer.” The total height of the bumps is
given by the height of the conductor
plus the height
to separate and insulate vertically the two cores from the coils.
For a quasi-distributed gap design
might be chosen larger
than the minimum value needed to insulate the coils from the
core. This can allow a favorable configuration of the field
seen by the conductors [22] (Fig. 7). The width required by
the lamination etching process is approximately proportional
to the height of the core . The symbol
is used to
indicate the slope of the etched NiFe core.
.
which defines the unitless factor
The total area occupied by the device can now be easily
expressed as a function of these factors
(36)
where represents the “active” area as defined in the simplified model presented in Appendix I-A.
The width of the core is
times larger than in the
simplified model, as the lateral width
has been included.
The power loss in the core due to eddy currents scales linearly
with the width of the core. Hence
(37)
DANIEL et al.: DESIGN OF MICROFABRICATED INDUCTORS
719
is the core loss neglecting “nonactive” spaces
where
as given by (11) in Appendix I-A. Thus, the total power loss
per unit area is
B. Optimization Problem
The problem of finding the maximum power density for a
given efficiency can be summarized and formulated mathematically as follows:
(38)
(47)
As shown in (33), the end turns increase the resistance by a
. An approximation for the total power loss in the
factor
windings can then be written as
given the equality constraints defined explicitly or implicitly
by (8), (9), (30), (31), (33), (35), (44), and (46) which we
collect here
(39)
The power loss in the winding per unit area is
Finally, the increase of the area by a factor
the throughput power density
(48)
(40)
(49)
decreases
(50)
(51)
(41)
(52)
(53)
(54)
The equation that determines the efficiency (14) in Appendix
I-A can now be refined as
(42)
Simplifying and rearranging the terms we obtain
(43)
,
, and
are the power
where
throughput and the power loss components per unit area
calculated from the simplified model, respectively.
The equation above shows an example of how the factors
and
can easily refine the equations of the simplified
model to capture the effects of the neglected items. Substituting (9), (11), and (13), from Appendix I-A the equation can
be expanded to
(44)
The throughput power density to be maximized is
(45)
Finally, the specification on the flux capability requirement
adds to the problem the equation
(46)
(55)
We choose as specifications for the problem, the following five
parameters referred to the converter behavior: the frequency
, the input and output voltages
and
, and the dc
and “peak-to-peak” current output
and
. Directly
from the specifications, we calculate the current ripple
, the duty cycle
, the “peakto-peak” flux linkage ripple
,
the conductor skin depth at each significant harmonic
:
, the Fourier coefficients
and the harmonic core loss
.
factor
The problem as written above, presents 8 equations and 11
unknowns: , , ,
, ,
, ,
,
,
, and
. Hence, three independent unknowns can be used to
maximize the throughput power density.
C. Optimization Procedure
A convenient parameterization is represented by the three
unknowns ( , ,
). We calculate the throughput power
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IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 14, NO. 4, JULY 1999
density as a function of only these three variables using the
following steps.
• Calculate ,
,
,
, , , and using (34), (49),
and (53)–(55) in Appendix II-B and (16) in Appendix I-B.
• Calculate the quantities
(56)
(57)
(58)
defined such that
and
.
Substituting such quantities, (49) and (52) in (48), we
obtain the quadratic equation
Fig. 17. Power density for a given efficiency = 94% and a fixed number of
laminations N = 12. The number of turns is also fixed n = 3. Specifications
and technology parameters have been assumed from the example design in
Table I.
(59)
• Calculate the current density given by the larger solution of (59) for larger power density
(60)
• Finally, the throughput power density using (47) is
(61)
We summarize our optimization procedure with the following steps implemented in our Matlab program [30]. For the
meaning of the symbols, refer to Table I.
1) Read specs
.
2) Read technology parameters
.
3) Calculate
.
4) Fix
the number of laminations.
5) Fix the efficiency.
6) Using a numerical function optimizer, find the optimal
for max power density
.
A three-dimensional (3-D) plot of the throughput power
density as a function of two of the three main parameters
and
can be obtained if the third one is fixed (Fig. 17).
Such a plot shows a well-defined maximum. Fig. 18 shows
such maxima for different number of turns . The largest value
of power density in Fig. 18 corresponds to the optimal design.
The entire optimization presented so far can be repeated
for different values of the efficiency in order to obtain the
fundamental curve in Fig. 11 showing the maximum throughput power density achievable at any chosen efficiency. Fig. 11
shows also the values of the three parameters , , and
needed to achieve the optimal design. In that example,
has
been limited to a maximum of 16 m.
Fig. 18. The power density maximized with respect to hc and hs is
here shown for different number of turns n. Specifications and technology
parameters have been assumed from the example design in Table I. The
efficiency is chosen = 94%, and the number of turns is fixed N = 12.
D. Permeability Calculations for the More Accurate Model
The permeability required to produce the desired inductance
can be calculated following the procedure in Appendix I-C.
The magnetic field produced in the core by the current density
[Appendix III-C, eq. (60)] is
(62)
which gives a flux density
(63)
The permeability should then be selected so that
(64)
It can be observed that with respect to the simplified model a
times higher is required when also “nonacpermeability
tive” spaces are included in the calculations.
DANIEL et al.: DESIGN OF MICROFABRICATED INDUCTORS
721
APPENDIX III
INDUCTOR DESIGN FOR A RESONANT CONVERTER
The design methodology can be applied to inductors used
in other circuit topologies. As an example an optimization
procedure is presented for an inductor to be used in a resonant
converter. The frequency , the desired inductance , and the
rms value of the current
are assumed as specification
parameters. The resulting trade off existing between quality
factor
and power density is shown.
The analysis refers to the same model described in
Appendix II-A and the configuration in Fig. 2. The resistance
of the windings at the operative frequency, including the end
turns, can be estimated by the expression
(a)
(65)
The power loss in a laminated core for a sinusoidal flux density
is given by
(b)
(66)
The total power loss in the core, assuming negligible hysteresis
loss, can be modeled by the equivalent resistance
(67)
The value of the quality factor
resistance
(c)
is determined by the total
(68)
The peak flux
is set to saturation level imposing
(69)
where
is the current peak. The inductance requirement, similarly to Appendix II-D, is satisfied by adjusting
the permeability of the core
such that
(d)
Fig. 19. Maximum power density and required permeability versus quality
factor. Specifications and technology parameters have been assumed from the
example design in Table III. The height of conductor hc , height of the core
hs , and number of turns n are also shown. In this example, hs has been
limited to values not larger then 16 m.
(70)
Finally, the goal is maximizing the power density. We use
as a parameter for the power handling of the device the
“volt–ampere” product
, where
is
the rms voltage. The objective of the optimization procedure
is then
Power
Area
(71)
A. Optimization Problem for the Resonant Inductor
The problem of finding the maximum power density for
can be summarized and formulated
a given quality factor
mathematically as follows:
(72)
given
(73)
(74)
and the five equations in Appendix II-B defining the unknowns
,
,
, , and
. Other unknowns are , , ,
, and
. The problem presents seven equations and ten
unknowns. Hence, three independent unknowns can be used
to maximize the power density.
B. Optimization Procedure for the Resonant Inductor
As in Appendix III-C, a convenient choice for the optimization problem defined above is represented by the three
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IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 14, NO. 4, JULY 1999
unknowns ( , , and ). Given these three variables the
power density can be calculated in the following ways.
•
and
are first evaluated using (30) and (31) in
Appendix II-A.
• Using the saturation equation (74), we can calculate
(75)
• Rearranging the quality factor equation (73), we see a
quadratic form
, where
(76)
(77)
(78)
and using the smaller solution for larger
• Solving for
power density
(79)
•
and
can then be easily calculated using (34) and
(35) in Appendix II.
• Finally, the area (36) and the power density (71) can be
evaluated.
We summarize the design procedure used in our Matlab
program [30] with the following steps. Refer to Table III for
the meaning of the symbols.
1) Read specs
.
2) Read technology parameters
.
3) Fix
the number of laminations.
4) Fix
the quality factor.
5) Using a numerical function optimizer, find the optimal
for max power density
.
As an example, we used the specifications and the material
data in Table III, obtaining the curves in Fig. 19. Once a point
on the tradeoff curve “power-density versus quality factor”
is specified, the physical parameters for the fabrication are
derived using (30), (31), and (75)–(79). An example design
for
is shown in Table III.
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Luca Daniel (S’98) was born in Pederobba, Italy, in
1971. He received the Laurea degree (summa cum
laude) in electronic engineering from the Universita’
degli Studi di Padova, Padova, Italy, in 1996. He
is currently working towards the Ph.D. degree in
electrical engineering and computer sciences at the
University of California, Berkeley.
His research interests are in thin-film magnetics and, more recently, in simulation and design
methodology for electromagnetic compatibility. In
1998, he was at the ULSI Research Laboratory,
Hewlett-Packard Company, Palo Alto, CA, working on simulation of electromagnetic interference from IC packages.
Charles R. Sullivan (S’93–M’96) was born in
Princeton, NJ, in 1964. He received the B.S.
degree in electrical engineering from Princeton
University, Princeton, in 1987 and the Ph.D. degree
in electrical engineering and computer sciences from
the University of California, Berkeley, in 1996.
From 1987 to 1990, he was with Lutron
Electronics, Coopersburg, PA, developing a highfrequency dimming ballast for compact fluorescent
lamps. He is presently an Assistant Professor at the
Thayer School of Engineering, Dartmouth College,
Hanover, NH. He has published technical papers on topics including thin-film
magnetics for high-frequency power conversion, dc–dc converter topologies,
energy and environmental issues, and modeling, analysis, and control of
electric machines.
723
Seth R. Sanders (M’87) received the B.S. degree in
electrical engineering and physics in 1981 and the
M.S. and Ph.D. degrees in electrical engineering in
1985 and 1989, respectively, all from the Massachusetts Institute of Technology (MIT), Cambridge.
He was a Design Engineer at the Honeywell Test
Instruments Division, Denver, CO, from 1981 to
1983. He is presently an Associate Professor in the
Department of Electrical Engineering and Computer
Sciences, University of California, Berkeley. During
the 1992–1993 academic year, he was on industrial
leave with National Semiconductor, Santa Clara, CA. His research interests are
in power electronics, variable-speed drive systems, simulation, and nonlinear
circuit and system theory as related to the power electronics field.
Dr. Sanders is the recipient of the 1993 NFS Young Investigator Award and
presently serves as Chair of the IEEE Technical Committee on Computers in
Power Electronics.