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. 2024 Jul 5;24(13):4367. doi: 10.3390/s24134367

Piezoelectric Transducers: Complete Electromechanical Model with Parameter Extraction

Michael L Isaf 1,*, Gabriel A Rincón-Mora 1
Editor: Tian-Bing Xu1
PMCID: PMC11244541  PMID: 39001145

Abstract

This paper presents a complete electromechanical (EM) model of piezoelectric transducers (PTs) independent of high or low coupling assumptions, vibration conditions, and geometry. The PT’s spring stiffness is modeled as part of the domain coupling transformer, and the piezoelectric EM coupling coefficient is modeled explicitly as a split inductor transformer. This separates the coupling coefficient from the coefficient used for conversion between mechanical and electrical domains, providing a more insightful understanding of the energy transfers occurring within a PT and allowing for analysis not previously possible. This also illustrates the role the PT’s spring plays in EM energy conversion. The model is analyzed and discussed from a circuits and energy harvesting perspective. Coupling between domains and how loading affects coupled energy are examined. Moreover, simple methods for experimentally extracting model parameters, including the coupling coefficient, are provided to empower engineers to quickly and easily integrate PTs in SPICE simulations for the rapid and improved development of PT interface circuits. The model and parameter extractions are validated by comparing them to the measured response of a physical cantilever-style PT excited by regular and irregular vibrations. In most cases, less than a 5–10% error between measured and simulated responses is observed.

Keywords: coupling coefficient, electromechanical model, energy harvesting, equivalent impedance, irregular and regular vibrations, mode of vibration, Norton and Thevenin equivalent, parameter extraction, piezoelectric

1. Introduction

To increase ease of use, practicality, and desirability, many devices, especially in the Internet of Things, require minimal maintenance power methods. Numerous mechanical, biomedical, and civil systems produce vibrations, and piezoelectric transducers (PTs), with their high energy densities and off-the-shelf availability, can effectively and easily tap into this energy source [1,2,3,4,5].

PTs convert mechanical energy, in the form of motion or vibration, to electrical energy that can be harvested to charge a battery, vB, and power a microsystem, as illustrated in Figure 1. Ultimately, maximizing the harvester’s output power, PO, is most important, but to do so, an understanding of how the PT delivers power, PPZ, is required [6,7,8].

Figure 1.

Figure 1

Piezoelectric-powered energy-harvesting system.

Transducers are not ideal energy sources, so a source model which accurately represents source impedances and energy conversions is important to design energy harvesting systems well. In a PT, an understanding of how mechanical motion produces electrical energy, electrical loading affects output power, and energy couples between domains is necessary when designing harvesters effectively for specific motion inputs. This requires an insightful PT model with parameters that can effectively approximate the physical device.

The model shown in [9,10,11] provides a circuit representation of both the mechanical and electrical domains of a PT, along with a method of coupling between the two to capture loading effects. However, the transformer’s coupling coefficient and turns ratio are combined into a single coefficient, which removes insight and analysis potential and can lead to inaccuracies. It is also known that PTs exhibit a dual resonance (parallel and series) behavior that is not captured [12,13,14,15]. In other words, that model does not adequately model PT output impedance. Moreover, mechanical engineers often use mechanical methods, material properties, and/or finite element analysis to determine model parameters, which may be inaccessible to many electrical engineers [9,10,11].

Other models exclude the mechanical domain and approximate iPZ to be proportional to the PT’s tip velocity (for cantilevered PTs). In these cases, the PT is assumed to be very weakly coupled, so the electrical load is said to have negligible effect on the PT’s motion [1,4,7,16,17,18,19,20]. It is not clear though, what constitutes weak coupling or how a PT is determined to be weakly coupled. DC-DC converters using PTs, such as those described in [12,13,14,15], require good impedance models for accurate converter and control design. Such applications often use the Van Dyke model, but this model is lumped, leading to potential error in converter design and PT impedance understanding, and its derivation could be expanded on [21]. This model is typically used for “strongly coupled” PTs, which poses similar ambiguity as before.

This paper presents a complete electromechanical (EM) model for PTs independent of strong or weak coupling assumptions, vibration conditions, and transducer geometries, making it generally applicable to many PT types, sizes, and applications. Because the model details enable insight into the power and energy transfers and losses occurring within PTs, it is particularly useful in energy harvesting contexts. PT impedances and resonances are also analyzed and discussed, exhibiting the model’s use for PT resonators. The model is also reduced to its Norton and Thevenin equivalents, which are applicable in all coupling contexts. Simple methods for experimentally extracting model parameters are presented and discussed to empower designers to quickly and easily integrate PTs in SPICE simulations for the rapid and improved development of PT interface circuits.

2. Complete Electromechanical Model

The complete EM model of a PT presented in this section strives to capture and distinguish between the aspects of the PT responsible for motion, energy capture, domain conversion, and electrical behavior. Equivalents of the complete model are also presented for ease of use. The model is developed using a cantilever style PT but is generally valid.

2.1. Complete Model

In Figure 2, the PT mass, MT, has kinetic energy when in motion with velocity, vT. Similarly, a capacitor has energy when a voltage develops across it. So, MT can be modeled as a capacitor, where CTMT [kg], and the mass’s velocity, in m/s, is analogous to the capacitor voltage, vT [22,23]:

EKE=0.5MTvT2EC=0.5CTvT2. (1)

Figure 2.

Figure 2

Diagram representing PT motion.

A mass moves if force is applied to it and a capacitor develops a voltage if current is applied to it. Since vT represents both voltage and velocity, its time derivative can represent the transducer’s acceleration, aT, and since CTMT, the current, iS, into CT is analogous to an applied mechanical force, fS, on MT in units of kgm/s2 or N. Therefore,

iS=CTdvTdtMTaT=fS. (2)

Springs store potential energy when compressed (or bent for a cantilever) a distance, dX, from rest. Inductors store energy when magnetized by ϕL, thus an inductor can model a spring with spring constant, KT:

EPE=0.5KTdX2EL=0.51LTϕL2=0.5LTiLT2, (3)

where LT is inversely equal to KT N/m and iLT represents force applied by the spring.

Frictional sources, such as air resistance, dissipate energy and dampen mechanical motion in the same way resistors dissipate energy in electrical systems:

DT=fDvTGT=1RT=iRvT. (4)

Mechanical dampers, DT kg/s, apply a force, fD, in response to motion, vT. So, in keeping with the convention established above, mechanical damping, DT, is analogous to the inverse of resistance, RT, (i.e., conductance, GT) where iR is the current through the resistor and vT is the voltage across it, as seen in (4) [24].

The LC circuit analogous to the spring mass system described above will have the same resonant frequency, fR:

fR=12πMTKTfLC=12πLTCT. (5)

The energy transfer between the mechanical domain (MD) and electrical domain (ED) of a PT is typically modeled with a transformer [9,10,11]. Since PTs and piezoelectric (PZ) materials are not capable of capturing all mechanical energy present for conversion to the ED, a coupling coefficient, kCL, exists:

kCLLTCLT=LTCLT0+LTC=CLCCL=CLCCL0+CLC1. (6)

kCL is intrinsic to the PT and is what makes a PT a PT. It represents the inherent strength of the connection between domains—the larger kCL, the better the connection. kCL can only be between 0 and 1, inclusive. A kCL of 0 corresponds to a material that is not piezoelectric as this implies no coupling exists between the ED and MD [1,25].

Figure 3 is the complete EM PT model with the MD modeled on the left. In the state of the art (SoA), kCL is often lumped in with the transformer [9,10,11]. In Figure 3, however, it is represented as the ratio between LTC and LT, as (6) shows, where LTC is the portion of LT that perfectly couples with the ED. kCL can also be thought of as the percentage of vT that couples to current in the ED, iEC, when the output is shorted.

Figure 3.

Figure 3

Complete electromechanical PT model.

In a conventional transformer, voltage on the secondary is a multiple of primary voltage by a factor of the turns ratio, kT [26]. Of course, there are no “turns” in a PT, so kT is referred to here as the translation coefficient, representing the conversion between the MD (force/velocity) and the ED (current/voltage):

kTvECvTC=LECLTC. (7)

In a PT, it is generally accepted that velocity begets current, iEC, so the two dependent current sources are used in conjunction with the transformer to couple vT to iEC [1,4,7,9,16,17,18,19,20]. The dependent current sources perform a voltage-to-current conversion which reciprocates impedances (i.e., resistance to conductance, inductance to capacitance, etc.) and dividers (i.e., voltage dividers to current dividers and vice versa). Lastly, CPZ models the PT’s ability to store electrical energy, and RPZ models leakage. CPZ is often dominated by the capacitance that exists between the PT’s electrodes [10,27]. The parameters in Figure 3 are the most fundamental to the model, so they have been italicized in the text to assist the reader in tracking them throughout the paper.

Presenting the model as it is described here (as opposed to representing mass as inductance and stiffness as capacitance as is often performed in the SoA, such as in [9,10,11]) is vital for a few reasons. First, it allows the inductor to be incorporated into the transformer, illustrating the role the PT stiffness plays in domain coupling/energy transfer by representing the spring as the medium for EM conversion [9]. It also enables explicit visualization of the transformer coupling coefficient by using split inductors to clearly show that only a fraction of the velocity, vTC, (i.e., mechanical energy) couples to the ED. Lastly, by using split inductors to represent transformer coupling, the transformer turns ratio can also be explicitly defined. Separating kCL from kT is important because if the coupling coefficient were lumped in with kT, it would be incorrectly applied to all impedance translations, as will be shown in Section 2.2. It also introduces the dual resonance behavior into the model, as will be shown in Section 2.3.

This model makes the same assumptions about PTs as those used in and accepted by the SoA, such as in [9,10,11,12,13,14,15,16,17,18,19,20]. These assumptions are: (1) A PT which behaves as a spring-mass-damper system in the mechanical domain is used; (2) Mechanical velocity is in phase with PT short circuit current; (3) The PT’s electrical domain is predominately capacitive. The transformer and split inductors are methods for fundamentally representing conversion and coupling between domains—regardless of its geometry and material, a PT converts energy between domains and only some fraction of energy couples. Therefore, this model and the following analysis can be applied to any PT that satisfies the three assumptions, which encompasses the majority of PTs used in energy harvesting and many PTs used as resonators [1,9,10,11,12,13,14,15,16,17,18,19,20].

2.2. Electrical Model

To simplify analysis, it is helpful to use a circuit equivalent to Figure 3 which does not include the transformer or dependent sources. The MD impedances, ZT, can be referred to the ED, ZZ, using typical transformer techniques as seen in [26]:

ZZZTkT2. (8)

As mentioned above, the dependent current sources reciprocate impedances and dividers.

The results of the above translations are shown in Figure 4. By representing the model this way, coupling between the MD and ED is modeled with a coupling capacitor, CLC, and a leakage capacitor, CL0, which are related to kCL by (6). Note that if kCL and kT were lumped, all translated impedances, instead of just LT0 and LTC, would be affected by kCL. When kCL is greater than 50%, CLC is larger than CL0, so more than half the mechanical energy present can couple to the ED. When less than 50%, the opposite is true.

Figure 4.

Figure 4

Electrical model.

2.3. Lumped Electrical Model

Reducing the model to its Norton and/or Thevenin equivalent, shown in Figure 5, is helpful for simple and easy application. To create these equivalent circuits, an understanding of the PT’s output impedance, ZPZ, is required.

Figure 5.

Figure 5

Norton and Thevenin equivalents.

ZPZ can be determined by shorting vS in Figure 4 and evaluating impedance when looking left from vPZ [28]:

ZPZ=RPZ||1sCPZ||1kT21sLTC+1sLT0||1RT+sCT=RPZ||1sCPZ||1sCLC+1sCL0||RR+sLC =RPZ||1sCLC+CPZs2πfR2+1QRs2πfR+1s2πfR2+1QRs2πfR+1=RPZ1+s2πpXs2πfR2+1QRs2πfR+1s2πfR2+1QRs2πfR+1. (9)

At very low frequencies, LC is effectively a short relative to CLC and CL0. As frequency increases though, its impedance will no longer be negligible, and it will interact with CLC and CL0, resulting in a mechanical, series resonance, fR, given in (5). The quality factor, QR, at fR is:

QR=1RRLCCL=RTCTLT. (10)

Above, fR, LC shunts the surrounding capacitors until frequency increases enough for LC to effectively open relative to them, resulting in an EM, parallel resonance, fR:

fR=12πLCCL0+(CLCCPZ)=12πCTLT0+LTC||CPZkT2=fR1kCL+kCLCPZLTCkT2+CPZfRkF, (11)

with a quality factor, QR, of

QR=1RRLCCL0+(CLCCPZ)=RTCTLT0+LTC||CPZkT2. (12)

In this paper, “” indicates the electrical series combination of capacitors (which are mathematically parallel).

Below fR, LC shorts, so CPZ and CLC dominate:

ZPZ|PPZ<f0<fR1sCLF=1s(CLC+CPZ), (13)

until frequency drops low enough for them to be open relative to RPZ, which occurs at pPZ, shown in Figure 6. Past fR, capacitors are shorted and LC is open, so ZPZ is dominated by the series combination of CLC and CL0 in parallel with CPZ:

ZPZ|f0>fR1sCHF=1sCLCCL0+CPZ. (14)

Note that fR and QR depend on CPZ. Specifically, CPZ affects CLC (or LTC), indicating that it directly alters the spring’s mechanical stiffness [9]. fR and QR, however, are independent of the ED.

ZPZ’s response across frequency is shown in Figure 6, but note that each attribute of the response is variable. fR and fR will be more separated at large kCLs and come closer together as kCL reduces. As CPZ gets larger relative to CL0 and CLC, it will dominate the response, and the prominence (i.e., quality factors) of and spacing (i.e., kF, shown in (11)) between the fR and fR peaks will reduce. When fR and fR get too close together, ZPZ’s peaks may no longer correspond to fR and fR.

Figure 6.

Figure 6

Simulated impedance vs. frequency for a single tone PT on a logarithmic scale.

If CPZ is very small relative to CL0 and CLC, Q and kF will increase until limited by other factors such as mechanical impedances, kT, and kCL, and fR’s expression reduces to:

fR|CPZCLC&CL012πLCCL0=12πCTLT(1kCL). (15)

Using (15), kCL can be approximated as:

kCLCPZCLC&CL01fRfR2=11kCL2, (16)

which is sometimes used for PZ resonators [25,29]. This is useful but may not be applicable in many other contexts as the condition may not be satisfied.

The Norton and Thevenin impedances of Figure 3 and Figure 4 are equal to ZPZ. The Norton equivalent current source, iNO, is equal to the current through a short circuit (SC) across the output, vPZ, which in this case, is equal to the current through CLC [28]. With the output shorted, LC, RR, and CL are in series. Using the translations in Section 2.2, the current through that series combination is proportional to vT by kT:

iNO=iPZ(SC)=vSZISCCLCCLC+CL0=kTvTSCkCL=iSkT1RR+sLC+1sCLC||1sCL0kCL. (17)

The current through CLC is a current divided fraction, kCL, of CL, as seen in (6). The Thevenin equivalent voltage source is related to iNO and ZPZ:

vTH=iNOZPZ. (18)

2.4. Additional Resonant Tones

A PT can resonate at multiple frequencies depending on its geometry. The shape it deforms into at each resonant frequency is known as a mode of vibration, but in the context of electrical engineering, it adds a tone to the frequency spectrum [30].

Each tone adds resonance in the same way as the fundamental, so adding LCR loops coupled to the ED via transformers accounts for them, as shown in Figure 7. Note that the current/force source in the additional tones is equal to the fundamental’s source, and that the mechanical parameters, kT, and kCL are likely different for each tone [10].

Figure 7.

Figure 7

Complete model with additional tones.

While the LEC components of each tone experience the same current, the different kTs mean different current is induced to each tone. The tones’ unique impedances also mean the ac part of iLE affects each tone’s voltage differently. When translated, each tone adds an LCR branch which couples to the electrical load via CLC, as shown in Figure 8. In this case, each branch has the same voltage, but the voltage coupled to each tone is unique because the CLCs are different.

Figure 8.

Figure 8

Electrical model with additional tones.

Interestingly, this means that tones add load capacitance relative to other tones. In other words, if looking at a particular tone, i, any tone greater or smaller than i will add to i’s load capacitance, as shown in Figure 9, (20) and (21).

Figure 9.

Figure 9

Electrical model of the ith tone with simplified tonal loading.

For tones lower than i, LCn is open circuited (OC), so the impedance of those tones is dominated by the series combination of CLCn and CL0n of each tone:

ZLDi1sCLCiCL0i. (19)

The impedance of each tone appears parallel to each other at the output, so the combined load impedance they contribute is:

ZLDL=ZLD|tones<i=ZLDi||||ZLDi11sn=1i1CLCnCL0n. (20)

For tones higher than i, LCn is a short, so those tones contribute a load impedance, ZLDH, dominated by CLCn of each tone:

ZLDH=ZLD|tones>i1sn=i+1CLCn. (21)

3. Electromechanical Coupling

3.1. Coupling Coefficients

The goal of a PT coupling coefficient is to express the fraction of energy that reaches the ED from the MD (or vice versa). The energy that does not reach the ED is not necessarily lost, as it could remain stored in the MD [31]. To determine the fraction of energy in the MD that reaches the ED, two components of cross-domain energy transfer need to be discussed. First is the fraction of mechanical energy that is available to the ED. The second arises from the fact that only a fraction of that available energy can be captured and used by the ED.

The fraction of mechanical energy available to the ED is directly related to kCL since it represents the PT’s inherent ability to convert energy between domains. To capture energy in the ED, though, an electrical load, such as CPZ, needs to be present, but this reduces the fraction of energy available to the ED since impedance is added to the coupling network [31]. In other words, kCL is effectively reduced in the presence of an electrical load. In Figure 4, the series combination of CPZ and CLC forms a current divider with CL0, so only a fraction of the power entering the capacitor network, PLT, reaches the EM branch, PEM, thus less mechanical energy is available to the ED. This effect is captured by the mechanical coupling coefficient:

kCM=iECiVS=1sCL01sCL0+ZEQ=1sCL01sCL0+1sCLC+1sCPZ||RPZ. (22)

Mechanically, CPZ effectively increases the spring’s stiffness (i.e., reduces LTC), reducing the energy it can store for a given force packet, meaning less is available for coupling [9,31]. kCM is less than or equal to kCL.

When OC, the energy stored in CPZ can be considered as having reached the ED since this is energy that the ED can use. Because LTC is finite, the transformer in Figure 3 requires some energy to transform voltage when loaded. This energy does not reach the ED, but is also not lost, it simply remains in the MD [26]. In Figure 4, CPZ forms a voltage divider with CLC, so only a fraction of PEM reaches CPZ. In other words, some energy remains in CLC and does not reach CPZ. This effect is captured with the electrical coupling coefficient:

kCE=vPZvLT=ZPZ1sCLC+ZPZ=1sCPZ||RPZ1sCLC+1sCPZ||RPZ, (23)

which ideally equals 1. Mechanically, this occurs because the coupled portion of the spring’s stiffness is shared between the MD and ED, so an applied force will result in energy that is partially stored in the coupled mechanical spring, LTC, and partially in the “electrical spring”, CPZ [9].

kCL represents the maximum fraction of mechanical energy available to the ED. kCM pertains to what fraction of that maximum mechanical energy is actually available to the ED when a load is present. kCE pertains to what fraction of the available energy is captured by the ED. Note that kCM and kCE are load dependent. The product of these two is the fraction of mechanical energy that is useable/harvestable in the ED and is referred to here as the PT coupling coefficient:

kC=PECPLT=kCMkCE. (24)

Theoretically, kC cannot be larger than kCL, regardless of loading conditions, as kCL is a material limit.

3.2. Coupling Extremes

As kCL decreases, it is harder for actions in the ED to affect motion (i.e., it takes a higher vPZ to affect vLT). From this perspective, a small kCL implies a “weakly coupled” PT. This is not to say, though, that the ED cannot have significant effects on motion when kCL is low. If CPZ is small enough, even a small iEC can produce a large vPZ. It is important to note that coupling effects are ultimately determined by the combined effects of LT, kCL, and kT2 relative to the electrical load. Therefore, a small kC, which accounts for all those parameters, always means the PT is weakly coupled.

If CLC is very small, it becomes more difficult for energy to reach the ED because CPZ would need to be significantly smaller for kCE to approach 1 (assuming CPZ is the only electrical load). When kCE approaches 0, only a small fraction of energy is shared between domains, so the MD and ED are essentially disconnected. A very small kCL, though, does not necessarily mean that CLC is small, as it is also a function of LT and kT2. kCE approaching 0, however, always means CLC is much smaller than CPZ, so:

ZPZ|kCE01sCPZ||RPZ. (25)

In other words, CPZ effectively shorts the MD. Since capacitance typically corresponds to large impedances at frequencies of interest for energy harvesting, a Norton equivalent is preferred to model this extreme. This is often performed in the SoA by saying the PT is “weakly coupled” without much further justification, but now (23) and (25) can be used definitively [1,4,7,16,17,18,19,20]. Note that PTs traditionally considered weakly coupled may not actually fulfill this approximation. Note also, that changing the load could change the applicability of the approximation.

If kCL approaches 1, the MD becomes fully connected to the ED, so ZPZ includes fR and fR. kCM approaching 1 means the same thing but also implies CPZ is much bigger than CLC and CL0. At fR, LC and CLC effectively short and CL0 opens, so:

ZPZ|fRkC1RR||RPZRR, (26)

since RPZ is typically big. RR is usually small, so for these cases, a Thevenin equivalent would be preferred. At fR, the resonant network exhibits a huge impedance parallel to RPZ, so:

ZPZ|fRkC1RPZ. (27)

Since RPZ is normally large, this case is also best modeled with a Norton equivalent.

3.3. Coupling with a Capacitive Load

When a PT is loaded with a capacitor, CLD, such that the total output capacitance, CO, is:

CO=CPZ+CLD, (28)

and assuming RPZ is very large, an interesting tradeoff exists between kCM and kCE. To maximize kCM, CO should be much larger than CLC and CL0, but to maximize kCE, CO should be much smaller than CLC and CL0. So, if kCM is maximized, kCE, and therefore kC, go to 0, and vice versa. This implies an optimal CO exists to maximize kC, CO(MKC).

Using (21)–(24) and approximating RPZ as large, an expression for kC with respect to CO can be made:

kC|fRCLCCOCLCCL0+CLCCOCLC+CO. (29)

kC is evaluated at fR as this is the frequency at which the maximum voltage occurs and the frequency the beam freely vibrates at. To find CO(MKC), the derivative of (29) with respect to CO is equated to 0:

dkCdCOCLC2CLCO2CLC2CL0CO+CLC2CLCO+CL0CLC20. (30)

Solving for CO in (30) gives the optimal CO to maximize kC for a particular kCL:

CO(MKC)CLCCL0CL=CLkCL1kCL. (31)

Plugging (31) back into (29) gives an expression for the maximum PT coupling coefficient that can be achieved for a PT, kC(MAX), with a particular kCL and capacitive load:

kCMAX=kC|COMKCkCL1+1kCL2. (32)

This highlights the difference between a PT’s intrinsic ability to couple between domains, kCL, and the fraction of energy that can be practically captured in the ED, kC. It also highlights the effect electrical loading can have on available electrical energy, since in this case, kC(MAX) is always less than kCL, unless kCL equals 1. The kC(MAX) line for a given kCL can be seen in Figure 10. If CO is larger than CO(MKC), then the PT’s motion is increased, so more energy is available, but the ability to capture that energy in the ED is decreased, underdamping the system. If CO is smaller than CO(MKC), the ability to capture energy in the ED is increased, but mechanical motion is decreased, overdamping the system. Optimizing kC will always improve electrical energy capture, but as kCL becomes very small (much less than 1% for example), the conditions required to achieve optimization could become impractical.

Figure 10.

Figure 10

Simulated kC at various kCL and CO combinations.

4. Parameter Extraction

The model and analysis presented in the previous sections are applicable to many PT types and dimensions, as discussed in Section 2.1. This section describes a method for extracting each parameter of the model specifically from a real cantilever-style PT with a tip mass to illustrate a way to use the model practically. The methods can be expanded upon in future work to develop extraction methods for other types of PTs and contexts. The method begins by assuming a single-tone PT and then provides techniques for accounting for higher tones.

4.1. Mechanical Parameters

The mechanical parameters are arguably the simplest to extract, so they are determined first. If the PT’s tip mass, MT, is much larger than the PT’s mass, then [22,23]:

CT=MT. (33)

Therefore, CT can be determined by weighing the tip mass. Since the PT and mass form a spring-mass resonator, LT is related to CT by fR. To measure fR, SC the PT’s output so the ED is not loading the MD and measure the period of dX and/or vT of an initially displaced beam using a displacement sensor, as shown in Figure 11. Measuring the response of an initially displaced beam allows the PT to resonate freely at its fR.

Figure 11.

Figure 11

Measured/simulated dX and vT for initially displaced SC PT.

CT and fR can then be used to determine LT:

LT=12πfR21CT=tR2π21CT. (34)

The PT-mass system exhibits damped resonance, so its behavior is of the form:

iLT=dXLT=iLTIet2RTCT, (35)

where iLT(I) represents the initial force in the spring resulting from the initial displacement, dX(I). By choosing two different points along the dX curve, such as (dX1, t1) and (dX2, t2) as shown in Figure 11, two different instances of (35) are determined. Taking the ratio of these instances and rearranging the expression to isolate RT results in:

RT=t2t12CTlndX1dX2. (36)

4.2. Electrical Parameters

Extracting the electrical parameters is a little more involved. Recall from Section 2.3 that past fR, LC is open, so the measured impedance, ZO, at these frequencies would be:

ZO|f0fR1sCHF=1sCPZ||1sCLCCL0=1sCPZ||1sLTkCL1kCLkT2. (37)

Note that CPZ cannot be measured directly, but CHF can be.

There are two main challenges with using an impedance analyzer (IA) to determine RPZ: output impedance and minimum frequency. RPZ is typically very large (on the order of MΩ), so the IA’s output impedance needs to be larger than that to give an accurate measure of RPZ. Plus, since RPZ is so large, pPZ typically occurs around or below 1 Hz, so the IA needs to operate at those frequencies to provide a measurement of RPZ. If an IA is on hand which satisfies these requirements, that is the best method for determining RPZ. If such an IA is not accessible, the PT’s discharge rate, shown in Figure 12, can be used since a PT’s output is largely capacitive.

Figure 12.

Figure 12

Measured discharge of immobilized PT.

Begin by immobilizing the beam—this ensures ZO is dominated by CHF across all frequencies greater than pPZ by forcing vT to 0. Then connect the PT to a power supply set to a particular voltage and allow it to charge. Disconnect the PT from the supply and measure the voltage across the PT’s terminals, vPZ, with an oscilloscope. The time it takes for the voltage to drop from the initial voltage, vPZ(I), to 37% of vPZ(I) is one time constant, τRC. RPZ can be determined using:

RPZ=τRCCHF. (38)

Rearranging (37) and substituting in (17) for kT gives an expression for CPZ:

CPZ=CHFLT1kCLkCLiPZ,PKSCvT,PKSC2, (39)

where iPZ,PK(SC) is the measured, peak, SC current corresponding to a particular measured, peak, SC velocity, vT,PK(SC). vT,PK(SC) can be measured using a dX sensor. There are two unknowns in (39): CPZ and kCL, but it is known that kCL is between 0 and 1. To determine CPZ and kCL, software aided curve fitting is performed on the OC vPZ, shown in Figure 13. Curve fitting computes a selection of variables to yield the least error within given boundary conditions [32,33]. (39) is used as a boundary condition to ensure the results apply to the PT. (39) and vPZ(OC) curve fitting essentially act as two equations to solve for the two unknowns: CPZ and kCL. Only kCL is adjusted during fitting since all other parameters have been determined, and because the bounds are well defined, there should only be one unique solution. After kCL is determined from the fit, it is plugged into (39) to find CPZ. kT can then be found with (17) using kCL, iPZ,PK(SC) and vT,PK(SC).

Figure 13.

Figure 13

Measured vPZ(OC) and modeled vPZ(OC) after curve fitting with resulting percent error.

The relationship between kCL and LT is described in Section 2.1. To restate, kCL can be used to determine LTC with:

LTC=LTkCL, (40)

and LT0 with:

LT0=LTLTC=LT1kCL. (41)

4.3. Approximating 2nd Tone

As discussed in Section 2.4, higher tones can affect PT behavior, so it can be important to account for them. Approximating the second tone is discussed here, but the methods could be extended to higher tones. Unfortunately, it is difficult to extract these parameters since CT2 is not equal to MT.

If operating the PT with a constant applied force of frequency fR, no energy is supplied by the higher tones, so they simply act as capacitive loads. In this case, use CHF1, shown in Figure 14, in (39). This way, CPZ will include the capacitive effects contributed by the higher tones, providing the correct loading with respect to the MD but overestimating the ED’s energy storage capacity.

Figure 14.

Figure 14

Simulated ZO for multi-tone PT to show CHF measurements.

If working with a step function input, the higher tones supply energy to the ED, so it is ideal to account for their full models. While fR2 can be measured, CT2 is unknown, so LT2 cannot be determined. CHF2 and iPZ,PK(SC) can also be measured, but vT,PK(SC) can be difficult to measure since a high-speed, high-sensitivity displacement sensor is required. So, to approximate RT2, CT2, LT2, kT2, and kCL2, parameter estimation/curve fitting can be used [32,33]. CPZ has a similar limiting condition as before, but this time, the first tone capacitance is accounted for, and more is unknown:

CPZ=CHF2CLC1CL01LT21kCL2kCL2iPZ2,PKSCvT2,PKSC2. (42)

Note that while curve fitting here should provide a good approximation of the effects of the second tone, since so many variables are being fitted and the limiting conditions are not as rigorous or as well-defined as for the first tone, the resulting second tone parameters may not necessarily correspond to the actual device parameters, and it is possible that there could be more than one unique solution. However, if there is a relationship between CT2 and MT and a good dX sensor is on hand, extraction could be performed like what is described in A and B.

5. Model Validation

5.1. Test Setup

To validate the model described in Section 2, the methods described in Section 4 are performed on the MIDE S129 PT to extract its model parameters using the test setup shown in Figure 15. SPICE simulations are then performed on the model with extracted parameters and the results are compared with measured data.

Figure 15.

Figure 15

Test setup.

The PT is mounted on a Bruel & Kjaer shaker with a 36 g weight attached to its tip. The frequency response analyzer (FRA) is used as the IA. The picoammeter is used to measure iEC and to SC the PT. The oscilloscope measures vPZ. The PT is 2.795 × 0.407 × 0.029 in.

5.2. Parameter Extraction

The MIDE S129 PT only weighs about 1.4 g, so with a 36 g tip mass, (33) holds true. So, CT is 36 mF (“milli” is used because the SI unit of mass is kg). dX of the PT tip is measured using the Keyence dX sensor shown in Figure 15. While shorted, the PT is bent to an initial displacement, released, and allowed to vibrate freely. Figure 11 shows the measured dX and vT, for the PT which is used to extract LT and RT.

RPZ is determined using τPZ measured in Figure 12 and the immobilized capacitance of the PT. The PT is immobilized by clamping it to a table and is charged using the power supply shown in Figure 15. The discharge is measured using the oscilloscope in Figure 15. Since the MIDE S129 with a 36 g tip mass has multiple tones, as seen in Figure 16, CHF1 is used in (39) and CHF2 is used when approximating the second tone parameters. Recall from Section 4.3, though, that using CHF1 in (39) means the extracted CPZ includes capacitive loading effects from the higher tones in Figure 16.

Figure 16.

Figure 16

Measured ZO vs. frequency of MIDE S129 with 36 g tip mass using FRA.

The measured iPZ,PK(SC) and vT,PK(SC) are shown in Figure 17. All variables required for (39) have now been measured and/or determined, so curve fitting can commence. The results of the curve fit are shown in Figure 13. All extracted model parameters are shown in Table 1. Plugging these into (23), kCE for this PT loaded by its CPZ is 10%, which is not small enough to assume it is weakly coupled, as (25) shows (kCE would need to be much less than 1%), contrary to what would be performed in the SoA.

Figure 17.

Figure 17

Measured vT(SC), dX(SC), and iPZ(SC) and simulated iPZ(SC) for constantly vibrating PT and average percent error.

Table 1.

Extracted Parameters.

Variable Value
CT 36.0 mF
LT 13.9 mH
RT 32.3 Ω
kCL 16.4%
kT 993 µVsm
CPZ 20.4 nF
RPZ 11.3 MΩ
fR2 60 Hz

5.3. Resonant Vibrations

In this section, the PT’s response to a constant applied vibration at fR is considered and compared to simulated model results. In this case, the force source, iS, is not known, but vT(SC) is, so the Norton model shown in Figure 5 is used for simulations.

Consider first the SC case, shown in Figure 17, where measured and simulated iPZ are compared. The error between simulated and measured data is found with:

Error=SimulatedMeasuredMeasured, (43)

and its average is plotted at the bottom of Figure 17. The areas highlighted in gray indicate where percent error exceeds ±15%. Note that error spikes every time iPZ crosses 0 because if measured data equals 0 and simulated data do not (which happens with the smallest difference in period), error spikes to infinity.

Figure 18 shows simulated and measured data for the OC PT. Note the difference in period, tR and tR, between the SC and OC cases, respectively, which results from CPZ’s inclusion when OC, as discussed in Section 2.3 [9]. tR is the period of an fR vibration. Also note that iPZ is in phase with vT while vPZ is in phase with dX [1,4,7,9,16,17,18,19,20]. ErrorV is smaller than ErrorI because vPZ(OC) is used for curve fitting, so any parameter errors will be more apparent in the iPZ(SC) plots.

Figure 18.

Figure 18

Measured vT(OC), dX(OC) and vPZ(OC) and simulated vPZ(OC) for constantly vibrating PT and average percent error.

In Figure 19, resistors are applied across the PT to test the model’s ability to predict accurate responses under various loading conditions. Energy burned by a load resistor, ER, is measured across a one-second time interval when the PT experiences the same vT(SC) as in Figure 17. Figure 19 estimates the maximum power point (MPP) resistance to be about the same as what was measured and shows approximately a 9% error between the MPP energies, ER(MPP). Deviations between simulated and measured data at very low RLOAD are attributed to the noise floor limits of the oscilloscope. Similarly, deviation at high RLOAD is most likely due to the limitation of the ammeter.

Figure 19.

Figure 19

Measured/simulated ER vs. load for constantly vibrating PT.

Error between simulated and measured response likely comes largely from errors in measurements used for parameter extraction. Measuring CHF1, for example, can be difficult since it is flanked by resonances, so the impedance line is slightly variable. Small rounding differences when measuring fR can also lead to large error differences since it is squared when calculating LT. Certain assumptions/approximations made during parameter extraction, such as neglecting the PT’s mass and approximating impedance as purely capacitive at CHF1 can also contribute error. Errors introduced by measurement equipment, such as quantization noise and electronic noise, and the test setup, such as parasitics, can also add to total error.

5.4. Step Response

This section discusses the PT’s response to a step input. The PT is bent and clamped to have an initial displacement, then released to resonate freely. This can be modeled in Figure 3 as iS having a constant, non-zero value long enough for the system to reach steady state. At steady state, all the current (force) goes through LT (the spring), which models the PT’s spring storing energy while displaced. To model releasing the PT, drop iS to 0 very quickly. Note this is not a perfect step response as that would require an instantaneous beam release. Instead, there is some “ramp” as iS drops to 0 in a finite amount of time.

Since the input is approximately a step function, it is ideal to model higher tones. Table 2 shows the approximated 2nd tone parameters found using methods described in Section 4.3. Remember from Section 4.3 that these 2nd tone parameters may not correspond to actual device parameters but provide good approximations for device behavior and are included here to demonstrate the model’s ability to account for higher tones. CPZ also reduces to 19.6 nF since it no longer includes the second tone’s load, per (42). A perfect step function contains many frequencies, but as the step becomes less ideal (i.e., it takes more time to drop to 0), power in the higher frequencies reduces [34]. In this experiment, an ideal beam release was not achieved, so tones higher than the second do not receive enough energy to have significant effects and are thus neglected.

Table 2.

Approximated 2nd Tone Parameters.

Variable Value
CT2 1.0 mF
LT2 6.9 mH
RT2 54.5 Ω
kCL2 45.0%
kT2 133 µVsm

Figure 20 shows the response for the SC PT released from an initial displacement, dX(I), which corresponds to an initial force, iS(I). Note that iS(I) can be determined with (35) because all the current (force) goes through LT. Since the PT is SC, it oscillates at fR. The effects of the second tone can also be seen, especially in Figure 20b, and its frequency, fR2, can be measured. The errors with and without the second tone approximation are shown. After the second tone’s effects subside, the errors are the same and always less than ±10%. However, including the second tone greatly reduces error while its effect is present, indicating the model’s ability to accurately account for higher tones.

Figure 20.

Figure 20

(a) Measured dX, vT, and iPZ for initially displaced SC PT and average percent iPZ error compared with simulations. (b) Zoomed in on the gray region of (a).

Figure 21 shows the response for the OC PT released from approximately the same dX(I), but this time the PT oscillates at fR since it is OC. Again, the difference in error with and without the second-order approximation is only present for the first few cycles, but it is significant during those cycles. The reason the error seems to decrease with time is most likely a result of slight frequency error. Interestingly, the simulated voltage is higher (more negative) if the second tone is not accounted for (as is corroborated with the ErrorV plot). This implies that the second tone drains CPZ, effectively opposing the first tone [9].

Figure 21.

Figure 21

(a) Measured dX, vT, and vPZ for initially displaced OC PT and average percent vPZ error compared with simulations. (b) Zoomed in on the gray region of (a).

Figure 22 tests the two-tone model’s ability to predict accurate responses under various loading conditions when the PT is initially displaced. Energy burned by the resistor is measured after the beam has resonated for 9 s with a dX(I) of about 1 mm. The measured and simulated data show good agreement with only about an 8% error and the same MPP RLOAD. Excluding the second tone’s effects yields about a 9% error. This difference is likely small because the 9-s window is much larger than the fraction of a second that the second tone is present. If the input were closer to an ideal step function, though, the difference is expected to be larger.

Figure 22.

Figure 22

Measured/simulated EOUT vs. load for initially displaced PT.

6. Conclusions

The complete EM model presented here provides insight into PT energy transfers which was not previously possible by explicitly defining PT parameters not previously represented individually nor completely. The model is generally applicable to many PT types and dimensions and does not rely on coupling assumptions, removing guesswork from designing PT interface circuits. LT is split into its coupled and uncoupled parts, enabling explicit and accurate definition, visualization, and grasp of kCL and kT. Incorporating LT into the transformer illustrates its role and related losses in EM energy transfer. Total coupling between domains, limitations to the amount of energy harvestable, and loading effects are shown to be dependent on kCL, kT2, the load, and the PT’s stiffness. It is shown that when kCE approaches 0, the model can be reduced to a current source parallel to CPZ (typical for weakly coupled PTs). When kC approaches 1, a Thevenin equivalent is preferred.

When constant sinusoidal vibrations are applied to a PT, it is shown that the other tones simply load the fundamental, whereas when an irregular vibration is applied, the other tones can oppose or support energy generation. This model also adequately captures a PT’s impedance behavior making it useful in many contexts, removing the need to switch to different models for different applications, and, in a sense, unifying concepts of various existing PT models into one complete model.

Parameter extraction methods for cantilever style PTs with a tip mass are presented and performed to illustrate a way to use the model practically. Using the extraction methods, designers can effectively and easily model off-the-shelf PTs, enabling easy integration of PTs into SPICE simulations to assist in harvester or interface circuit development. In most cases, less than 5–10% error is observed between measurements and the model with extracted parameters. The model’s ability to capture responses of PTs used as both resonators and energy sources, which are generally accepted in the SoA, further supports it.

The model described here is generalized, but work can be performed to apply it to specific PTs by deriving expressions for each component in Figure 3 in terms of material, dielectric, and piezoelectric constants. Concepts from this paper and [9] and an understanding of transformer turns ratios and mutual inductance can help accomplish this. The resulting expressions would be material and dimension dependent and would provide more insight into the physical parameters contributing to energy generation and loss.

Author Contributions

Conceptualization, M.L.I. and G.A.R.-M.; methodology, M.L.I. and G.A.R.-M.; software, M.L.I.; validation, M.L.I.; formal analysis, M.L.I.; investigation, M.L.I.; resources, G.A.R.-M.; data curation, M.L.I.; writing—original draft preparation, M.L.I.; writing—review and editing, M.L.I. and G.A.R.-M.; visualization, M.L.I. and G.A.R.-M.; supervision, G.A.R.-M.; project administration, G.A.R.-M.; funding acquisition, G.A.R.-M. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are contained within the article.

Conflicts of Interest

The authors declare no conflicts of interest.

Funding Statement

This research received no external funding.

Footnotes

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Data Availability Statement

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