Research Article  Open Access
Power Consideration in a Piezoelectric Generator
Abstract
A piezoelectric generator converts mechanical energy into electricity and is used in energy harvesting devices. In this paper, synchronisation conditions in regard to the excitation vibration are studied. We show that a phase shift of ninety degrees between the vibration excitation and the bender’s displacement provides the maximum power from the mechanical excitation. However, the piezoelectric material is prone to power losses; hence the bender’s displacement amplitude is optimised in order to increase the amount of power which is converted into electricity. In the paper, we use active energy harvesting to control the power flow, and all the results are achieved at a frequency of 200 Hz which is well below the generator’s resonant frequency.
1. Introduction
A piezoelectric generator (PEG) [1] can be used to extract energy from ambient vibrations. For that purpose, a proof mass is firmly attached to one end of a bender, while the other end is fixed onto a vibrating case [2]. The voltage supplied to the piezoelectric material produces internal stresses, which create active damping [3]. The power which brakes the movement of the proof mass is not dissipated into heat but is converted into electrical power and fed back to an electrical load.
For a given design of the PEG, the harvested power depends on the operating conditions. First, the resonant behaviour of the bender and its proof mass lead to a strong dependency of harvested power on vibrations [2]. Moreover, the impedance of the PEG and of the load should match [4], and, then, there exists an optimal electric load to be connected to the PEG connection [5, 6].
Optimal energy harvesting can be achieved using active solutions. For example, [7] proposes to use a full Hbridge in order to accurately control the voltage supplied to the PEG. For an excitation close to the resonant frequency of the PEG, semiactive (or semipassive) solutions can also be used. The SSHI technique, for example, uses a switched inductor to reverse the voltage across the piezoelectric generator and synchronises the voltage on maxima and minima of the displacement [8]. The SECE technique [9] uses a flyback topology to extract the charges for the piezoelectric generator at each maximum of the voltage. In this way, energy scavenging is obtained at any load value and can be used to charge up a battery, in a wireless communication application [10], for example.
In this work, we are using active energy harvesting, because we control the instantaneous voltage across the piezoelectric material. However, this voltage is not synchronised to a current but directly to the vibration which is measured by an accelerometer. The paper is organised as follows. First, we present a model of the piezoelectric generator, and we calculate the mechanical power losses inside the device while it is being bent. Then we present experimental results of the conversion of mechanical power into electrical power at an excitation frequency which is less than onehalf of the generator’s resonance frequency.
2. Modelling
2.1. Modelling of a Piezoelectric Generator (PEG)
We consider a piezoelectric bender, excited at one end by sinusoidal vibration of amplitude and frequency , with a proof mass attached to the other end, as described in Figure 1.
The model of the device is established for the actuator mode and is derived from equations proposed by [11]. In this modelling, the mass of the piezoelectric material is not taken into account, and the model is valid for frequencies below the first vibration mode of the bender and its mass. We name the voltage across the piezoelectric material; if the piezoelectric bender is supposed to exhibit a linear behaviour, with a mechanical stiffness and an internal damping , the equation of the displacement of the bender’s tip is given by where is an internal piezoelectric force and is the equivalent force due to the structure’s oscillations; is given by
The piezoelectric conversion does not take into account any nonlinearity; therefore we write where is a motional equivalent current and is called the piezoelectric force factor. Finally, the electrical behaviour is modelled using (4), where is the current supplied to the bender and is the equivalent blocked capacitance of the piezoelectric generator
This model can be represented using the energetic macroscopic representation because this representation tool is suitable not only to deduce by inversion control laws [12] but also to obtain the power flowing into the system. For the purpose of a better understanding of the representation, [13] introduces two variables and given by
Thus (1) can be revised into:
The representation in Figure 3 depicts the relationship between each of the variables of the system, which are represented by arrows; on each side of each block, we find two variables: one input and one output. By multiplying an input by an output, we obtain the power flowing in the system. For example, is the power provided to the environment; because the modelling is established in an actuator mode, should be negative in an energy harvesting operation. In the same way, is the mechanical power which is converted to electrical. The power appearing in Figure 3 will be used later in the paper.
Each block is a nutshell, inside which we can find an equation. The orange rectangles encircled by a red line correspond to (7) (block ), (5) (block ), and (4) (block ). It is important to notice that these blocks also represent energy storage in the system. For example, the block stores elastic energy, while the block stores electrostatic energy.
The orange circle shows the electrical to mechanical conversion stage inside the piezoelectric material, as presented by (3): on the left side of the circle, the energy is electrical; on the other side, the energy is mechanical. The two aggregated rectangles depict the internal coupling inside the piezoelectric bender, producing the springmass system. Finally, the environment is represented by two green ellipses (blocks SE and SM) at the edge of the representation.
We compare these modelling results to actual measurements in Figure 2. For this purpose, we used a bender which is a CMPB01 from Noliac [14], and we applied a step variation of . Hence, for these trials, the piezoelectric generator actually is an actuator.
The parameters used for the simulation are given in Table 1.

Simulation and modelling are similar, validating the approach. In the next section of the paper, we focus our attention on the mechanical power which can be harvested from the mechanical excitation.
2.2. Harvested Power from Vibrations
The instantaneous mechanical power harvested at the proof mass is provided by the mechanical source SM and is given by By convention, should be in the energy harvesting mode. If we introduce , the acceleration of the rigid structure, as , then (8) becomes
If we consider monochromatic excitations, we make the assumption that both the acceleration of the rigid structure and the displacement of the bender’s tip are sinusoidal functions of time. We then state where is the amplitude of the vibration’s acceleration, is the amplitude of the displacement, and is the phase shift which exists between and . Under these considerations, the average power harvested at the proof mass is equal to
In Figure 4, we show the power which is provided by the system to its environment, at a given vibration level (), frequency , and displacement ().
This figure illustrates that depends on the phase shift between the vibration acceleration and the tip’s displacement; can be (i)positive if , and the displacement of the mass generated a power need; (ii)equal to 0 if , and the displacement of the mass does not produce power;(iii)negative if , when energy harvesting occurs.
Hence, we can conclude that energy harvesting operation should occur at . To achieve this condition at any vibration frequency, has to be controlled. This can be achieved with an active energy harvesting circuit. However, the power which is harvested at the proof mass is not totally converted into electricity. In fact, the piezoelectric material is prone to mechanical power losses, modelled by the parameter . The next section considers these power losses in the energy harvesting operation.
2.3. Power Losses in the Bender
The power losses which are considered in this paper are hysteresis power losses and are localised within the block of Figure 3. The hysteretic behaviour can be observed in the generator mode, when supplying a sinusoidal voltage to the bender, as depicted in Figure 5 for the same bender used in Figure 2.
In [15], the authors calculate the power losses due to the mechanical hysteresis. The average value over a period of time is given by where is a parameter of the piezoelectric material.
In Figure 6, the mechanical power losses are compared to the analytical modelling of (12) at a frequency of . The value found for the hysteresis power losses is equal to , which is consistent with the value from Noliac.
Hence, these power losses increase with the displacement amplitude of the bender’s tip, and, to increase the amount of power which can be converted into electricity, we note that should be as small as possible, for a given frequency. However, reducing also reduces the amount of power which is extracted from the proof mass, resulting in an optimal operating point, as presented in the next section.
In addition to the mechanical hysteresis losses, dielectric losses and electrical to mechanical conversion losses also occur. However, in this paper, we do not take into account these power losses.
2.4. Optimal Control of the Bender’s Speed at a Given Pulsation
To obtain larger converted power, it is essential to lower the mechanical power losses, leading to the conclusion that the displacement amplitude should be as small as possible. Equation (11) infers an optimal value of .
With , if we increase the vibration speed—for example, by adjusting the voltage across the piezoelectric material—we can harvest more power from the rigid structure. However, at the same time, we also increase the mechanical power losses. Figure 7 depicts this situation. In this figure, we represent as a function of , for , as well as . We can see that, for low vibration amplitude, . For this condition, we convert mechanical power into electricity.
The power which is converted into electricity is named and is expressed by which results in
Figure 8 shows the effect of on energy harvesting. In this figure, we represent as a function of , for several values of .
We see that, for these three values of , the minimal power is obtained for . Moreover, we observe that, for , is always positive. For that operating condition, is large but not large enough to compensate for the large power losses induced by the displacement of the bender’s tip. For , the power losses are the smallest, because is the smallest, and mechanical power can be converted into electrical power. But more power can be converted for even if for that point we have more power losses due to a higher displacement compared to the case . Indeed, we also have more mechanical input power . There exists then an optimal point, which minimizes the power . Equation (14) gives rise to
Hence, we obtain two conditions to harvest a maximum energy from the mechanical excitation. First, the bender’s movement should be synchronised to the excitation’s acceleration. This implies that the acceleration should be measured, which is not often the case in energy scavenging application. However, there exist some cases where acceleration can be measured; for example, in [16], the authors propose to use the accelerometer embedded in a smartphone to synchronize the bender’s deflection on the shaking produced by the walking motion of the user to harvest energy. A second condition leads to the optimal displacement amplitude for which a maximum amount of electrical power can be generated. This optimal displacement amplitude depends on the excitation’s magnitude.
In the next section of the paper, we will try to confirm these optimal conditions through an experimental study.
3. Experimental Study
3.1. Presentation of the Experimental Test Bench
Figure 9 shows the experimental setup. The cantilever (CMBP01 from Noliac) is pinched by a plastic clamp, following the manufacturer’s recommendations [14]. On the other end a magnet is glued. This magnet is used as the proof mass for the study. A Hall effect sensor (FHS40P 600 from LEM) faces the magnet and thus gives a voltage which is a function of the bender end , achieving a position sensor.
In order to apply an acceleration force to the structure, the clamp is firmly attached to a shaker (the modal shop inc., mod 2110E) through a wood frame, as presented in Figure 10, and the control scheme is depicted in Figure 11.
The experimental test bench consists of (i)an accelerometer (352C68 from PCB Piezotronics), a conditioner (DVC8/4 from Vibration World), and a filter, to measure the structure’s acceleration and thus estimate ; (ii)a Digital Signal Processor (TMS32F4 from STM) which calculates the voltage from the acceleration, according to an adjustable delay and amplitude; (iii)a PWM amplifier which supplies the sinusoidal voltage to the bender; (iv)a RS232 serial communication between a laptop computer and the DSP to input the value of .
A specific control of the bender’s position is needed and should require a position control, as shown in [16]; however, in our case, this could not be achieved since it has produced instabilities. In fact, the high bandwidth of the piezoelectric generator (450 Hz) requires a high sampling frequency, which could not be handled by the . During operation, the closed loop control was found unstable for the generator’s eigenfrequency, leading to high frequency oscillations superimposed on the low frequency displacement produced by the shaker. Faster and more expensive controller should be used to accurately control . To remove these instabilities, we have chosen to keep an open loop: the voltage is controlled according to the acceleration of the structure.
However, the structure of the experimental test bench was found to be flexible. This results in a acceleration which differs from the acceleration of the shaker, because of the mechanical response of the structure. We have found that there exists a phase shift of 80 between the acceleration at the location of measurement and the case’s acceleration. This correction angle was taken into account in the measurement of .
In addition to these devices, an oscilloscope (Agilent, MSO6034A) measures , , and in order to estimate and measures the actual value of .
3.2. Estimation of
The bender chosen for the experimental study exhibits a large amount of power losses. However, we can estimate the mechanical power which is converted into electrical power, using . In fact, we are interested in , the average value calculated over a period of excitation. We should then calculate This calculation is possible if we measure the displacement speed directly. We could obtain by derivation of . However, is a very noisy signal, and derivation gives bad results.
This is why is calculated from the hysteresis loop . For that purpose, (16) is revised into which is the inner surface of the hysteresis in one cycle of the excitation, divided by the excitation period . In Figure 14, such hysteresis loops are presented for two conditions; it shows how the vibration conditions modify the hysteresis loop.
In Figure 12 two cycles are presented. The biggest one is operated in the clockwise direction and results in a positive power. The smallest one corresponds to lower value, because its cycle is thinner. Moreover, the cycle is operated counterclockwise and results in a negative power : this last example represents the energy harvesting condition.
3.3. Power as a Function of
In this experiment, we shake the bender at constant frequency ( Hz) and at constant vibration amplitude ( g). We then control the voltage across the piezoelectric material , in order to obtain a constant displacement amplitude, but phase is shifted by an angle compared to .
We then draw in Figure 13 the power which is converted into electricity as a function of and for several displacement amplitudes . Measurements are compared to the theory.
The results are found to be consistent with theory, Figures 8 and 13 are similar, and the effect of the phase shift is clearly demonstrated by this experimental study.
At , mechanical power can be converted into electricity for μm. The amount of power is estimated to be equal to μW.
However, because the device does not operate at its mechanical resonant frequency, the voltage required to obtain is high: a peaktopeak voltage of was needed. This value leads to dielectric power losses in the piezoelectric material, which are in the same order of . As a consequence, with our device, it was not possible to actually harvest energy: the amount which was converted into electricity was dissipated into dielectric losses.
3.4. Power as a Function of the Vibration Amplitude
In this experimental study, we control the phase shift between and in order to have . We measure then the power converted into electricity for , Hz. The results are presented in Figure 14 and compared to the analytical model.
We find that theory is confirmed by the experimental study. The optimal displacement calculated with the data of Table 1 and is equal to . This value is close to the experimental value found between and .
4. Conclusion
In this paper, we considered the condition to harvest the maximum amount of energy from the mechanical excitation. A model of a cantilever piezoelectric generator is derived and gives rise to two conditions, in term of displacement amplitude of the bender’s tip and in terms of synchronization of this movement to the excitation’s acceleration of the structure. These conditions were verified through an experimental study. This study was achieved at , while the resonant frequency of the bender was .
Despite this result, we could not harvest electricity with our device. Indeed, when shifting away the PEG’s resonant frequency, the voltage needed for the same displacement increases, and more power is lost into the dielectric power losses inside the piezoelectric material. This is why further work is needed to design a new device, which will harvest more mechanical power for the same dielectric losses. This can be achieved by increasing the proof mass, for example.
Acknowledgments
This work has been carried out within the framework of IRCICA Stimtac Project and the INRIA Mint Project. Frédéric Giraud was also supported by the Sabbatical Program of INRIA. The authors thank Professor Ridah Ben Mrad and Vainatey Kulkarni, both from the Mechatronics and Microsystems Design Laboratory (MMDL) of University of Toronto, for their help in the realisation of the experimental study.
References
 D. Guyomar and M. Lallart, “Recent progress in piezoelectric conversion and energy harvesting using nonlinear electronic interfaces and issues in small scale implementation,” Micromachines, vol. 2, no. 2, pp. 274–294, 2011. View at: Google Scholar
 S. Roundy, P. K. Wright, and J. M. Rabaey, Energy Scavenging For Wireless Sensor Networks: With Special Focus on Vibrations, Technology and Engineering, Springer, 2004.
 G. A. Lesieutre, G. K. Ottman, and H. F. Hofmann, “Damping as a result of piezoelectric energy harvesting,” Journal of Sound and Vibration, vol. 269, no. 3–5, pp. 991–1001, 2004. View at: Publisher Site  Google Scholar
 J. Lian and W. H. Liao, “Impedance matching for improving piezoelectric energy harvesting systems,” in Active and Passive Smart Structures and Integrated Systems, vol. 7643 of Proceedings of SPIE, p. 12, Hong Kong, China, April 2010. View at: Google Scholar
 D. Guyomar, A. Badel, E. Lefeuvre, and C. Richard, “Toward energy harvesting using active materials and conversion improvement by nonlinear processing,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 52, no. 4, pp. 584–594, 2005. View at: Publisher Site  Google Scholar
 S. Shimose, K. Makihara, and J. Onoda, “Energy harvesting using an analog circuit under multimodal vibration,” Smart Materials Research, vol. 2013, Article ID 736487, 6 pages, 2013. View at: Publisher Site  Google Scholar
 Y. Liu, G. Tian, Y. Wang, J. Lin, Q. Zhang, and H. F. Hofmann, “Active piezoelectric energy harvesting: general principle and experimental demonstration,” Journal of Intelligent Material Systems and Structures, vol. 20, no. 5, pp. 575–585, 2009. View at: Publisher Site  Google Scholar
 A. Badel, D. Guyomar, E. Lefeuvre, and C. Richard, “Piezoelectric energy harvesting using a synchronized switch technique,” Journal of Intelligent Material Systems and Structures, vol. 17, no. 89, pp. 831–839, 2006. View at: Publisher Site  Google Scholar
 E. Lefeuvre, A. Badel, C. Richard, and D. Guyomar, “Piezoelectric energy harvesting device optimization by synchronous electric charge extraction,” Journal of Intelligent Material Systems and Structures, vol. 16, no. 10, pp. 865–876, 2005. View at: Publisher Site  Google Scholar
 Y. K. Tan, J. Y. Lee, and S. K. Panda, “Maximize piezoelectric energy harvesting using synchronous charge extraction technique for powering autonomous wireless transmitter,” in Proceedings of the IEEE International Conference on Sustainable Energy Technologies (ICSET '08), pp. 1123–1128, November 2008. View at: Publisher Site  Google Scholar
 N. W. Hagood, W. H. Chung, and A. von Flotow, “Modelling of piezoelectric actuator dynamics for active structural control,” Journal of Intelligent Material Systems and Structures, vol. 1, no. 3, pp. 327–354, 1990. View at: Google Scholar
 A. Bouscayrol, A. Bruyère, P. Delarue et al., “Teaching drive control using energetic macroscopic representation—initiation level,” in Proceedings of the European Conference on Power Electronics and Applications (EPE '07), pp. 1–9, Aalborg, Denmark, September 2007. View at: Publisher Site  Google Scholar
 C. GiraudAudine and F. Giraud, “Preliminary feasibility study of a speed estimator for piezoelectric actuators used in forging processes,” in Proceedings of the 14th European Conference on Power Electronics and Applications (EPE '11), pp. 1–10, September 2011. View at: Google Scholar
 Noliac group, http://www.noliac.com/.
 K. Uchino, K. H. Tan, and J. R. Giniewicz, Micromechatronics, CRC Press, 2003.
 F. Giraud, F. Dawson, C. GiraudAudine, M. Amberg, and B. LemaireSemail, “A method to harvest energy from a haptic display in a handheld device: a preliminary study,” in Proceedings of the 15th European Conference on Power Electronics and Applcations (EPE '13), 2013. View at: Google Scholar
Copyright
Copyright © 2013 Rémi Tardiveau et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.