Parameter uncertainties in the design and optimization of cantilever piezoelectric energy harvesters

Franco, Vitor Ramos; Varoto, Paulo Sérgio

doi:10.1016/j.ymssp.2017.02.030

Cited by 34 publications

(24 citation statements)

References 28 publications

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“…An energy harvester cannot outperform without using Optimization technique. The vital parameters are identified and put into a proper shape to give the best performance [65]. Mukhanov designed a optimization tool for the voltage generated by a piezoelectric bimorph using Euler Bernoulli's cantilever vibration theory [19].…”

Section: Performance Improvement Of Energy Harvestersmentioning

confidence: 99%

“…Some of the author's findings are tabulated which shows the type of material used for maximum power generation. [30] PZT 150 W Hyun Jun Jung [23] PZT 2.4 mW Shuguang Li [28] PVDF element 296 µW Xing qiang Zhao [48] Al/ AlN/ Mo 0.342 μW Mukhanov [19] PZT 0.57 nW Franco [65] Piezoceramic 7 mW Prashanthi [47] Nanocomposite 0.025 μW Praveen P Nayak [29] PZT C-203 142 µW Jiantao Zhang [54] PVDF 2566.4 μW Shanshan Li [78] PVDF 0.35 µW Jiang xin Zhao [79] PVDF 1.73 mW Hong jin Wang [40] PZT 452.5 µA Nicola Heidrich [38] Aluminium Nitride 10 µW Jihyun Bae [22] Polytetra fluoroethylene (PTFE) 0.86 mW Nan Chen [81] PZT 3.9 mW…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Performance improvement of piezoelectric materials in energy harvesting in recent days – a review

Varadha¹,

Rajakumar²

2018

J. vibroeng.

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Piezoelectric elements are inevitable in modern day physics playing a vital role in many applications. Any piezoelectric element requires compression to produce energy in the form of a weak electrical ac signal. Mechanical vibrations are known to cause deflections which are enough to produce energy from the piezoelectric materials. In this paper, a review of the piezoelectric materials is made on their basic modes of excitation for producing energy. Also, various mechanisms and techniques used to harvest energy recently are presented and discussed extensively. Piezoelectric energy harvesting using MEMS is emphasized much as this is the era of micromechanical systems. Most of the piezoelectric energy harvesting systems relies on cantilever-oriented deflection to produce maximum vibration. In general cantilever beams fitted with piezoelectric materials produce electrical energy from mechanical vibration when deflected; hence detailed review on the different shapes of cantilever is also submitted. Significant parameters contributing to improved performance are dealt with special importance.

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Section: Performance Improvement Of Energy Harvestersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Performance improvement of piezoelectric materials in energy harvesting in recent days – a review

Varadha¹,

Rajakumar²

2018

J. vibroeng.

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“…Although the models available offer a good description of the physics involved in PEH, its accuracy relies in the complete knowledge of the electromechanical properties of the piezoelec-tric material together the geometrical characteristics of the harvester. In a recent work, Franco and Varoto [4] presented a design framework for PEHs but taken into account the uncertainties related to the geometrical parameters and the load resistance of the harvester. The results revealed that the incorporation of these uncertainties affects significantly the prediction of the PEH.…”

Section: Introductionmentioning

confidence: 99%

Bayesian Framework to Quantify Uncertainties in Piezoelectric Energy Harvesters

Peralta

Ruiz

Meruane

2018

ASME 2018 Verification and Validation Symposium

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The interest of this work is to describe a framework that allows the use of the well-known dynamic estimators in piezoelectric harvester (deterministic performance estimators) but taking into account the random error associated to the mathematical model and the uncertainties on the model parameters. The framework presented could be employed to perform Posterior Robust Stochastic Analysis, which is the case when the harvester can be tested or it is already installed and the experimental data is available. In particular, it is introduced a procedure to update the electromechanical properties of PEHs based on Bayesian updating techniques. The mean of the updated electromechanical properties are identified adopting a Maximum a Posteriori estimate while the probability density function associated is obtained by applying a Laplaces asymptotic approximation (updated properties could be expressed as a mean value together a band of confidence). The procedure is exemplified using the experimental characterization of 20 PEHs, all of them with same nominal characteristics. Results show the capability of the procedure to update not only the electromechanical properties of each PEH (mandatory information for the prediction of a particular PEH) but also the characteristics of the whole sample of harvesters (mandatory information for design purposes). The results reveal the importance to include the model parameter uncertainties in order to generate robust predictive tools in energy harvesting. In that sense, the present framework constitutes a powerful tool in the robust design and prediction of piezoelectric energy harvesters performance.

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“…However, large softening behavior would prevent the pull-in instability, increase the level of the harvested power, and broaden the bandwidth. These observations give a deeper insight into the behavior of such energy harvesters and are of great importance to the designers of electrostatic energy harvesters.Energies 2019, 12, 4249 2 of 26 new technologies, it becomes viable to harvest power from ambient and aeroelastic vibrations [2-6], thermal energy [7,8], airflow [9][10][11][12], and ocean waves [13].Common energy-harvesting techniques employ piezoelectric [14][15][16][17][18], electromagnetic [19][20][21][22][23], electrostatic [24][25][26][27], and hybrid [28] conversion principles according to the type of application [29]. Electrostatic mechanism has advantages over other mechanisms where it is possible to work at low frequency and wide bandwidth [30].…”

mentioning

confidence: 99%

“…Common energy-harvesting techniques employ piezoelectric [14][15][16][17][18], electromagnetic [19][20][21][22][23], electrostatic [24][25][26][27], and hybrid [28] conversion principles according to the type of application [29]. Electrostatic mechanism has advantages over other mechanisms where it is possible to work at low frequency and wide bandwidth [30].…”

mentioning

confidence: 99%

Nonlinear Analysis and Performance of Electret-Based Microcantilever Energy Harvesters

Hammad

Abdelmoula²,

Abdel‐Rahman

et al. 2019

Energies

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An energy harvester composed of a microcantilever beam with a tip mass and a fixed electrode covered with an electret layer is investigated when subject to an external harmonic base excitation. The tip mass and fixed electrode form a variable capacitor connected to a load resistance. A single-degree-of-freedom model, derived based on Newton’s and Kirshoff’s laws, shows that the tip mass displacement and charge in the variable capacitor are nonlinearly coupled. Analysis of the eigenvalue problem indicates the influence of the electret surface voltage and electrical load resistance on the harvester linear characteristics, namely the harvester coupled frequency and electromechanical damping. Then, the frequency–response curves are obtained numerically for a range of load resistance, electret voltage and base excitation amplitudes. A softening nonlinear effect is observed as a result of decreasing the load resistance and increasing the electret voltage. It is found that there is an optimal electret voltage with the highest harvested electrical power. Below this optimal value, the bandwidth is very small, whereas the bandwidth is large when the electret voltage is above this optimal value. In addition, it is noted that for a certain excitation frequency, the harvested power decreases or increases as a function of electrical load resistance when the coupled frequency is closer to short- or open-circuit frequency, respectively. However, when the coupled frequency is between the short-circuit and open-circuit frequencies, the harvested power has an optimal resistance with the highest power. Increasing the excitation amplitude to raise the harvested power could be accompanied with dynamic pull-in instability and/or softening behavior depending on the electrical load resistance and electret voltage. However, large softening behavior would prevent the pull-in instability, increase the level of the harvested power, and broaden the bandwidth. These observations give a deeper insight into the behavior of such energy harvesters and are of great importance to the designers of electrostatic energy harvesters.

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Parameter uncertainties in the design and optimization of cantilever piezoelectric energy harvesters

Cited by 34 publications

References 28 publications

Performance improvement of piezoelectric materials in energy harvesting in recent days – a review

Performance improvement of piezoelectric materials in energy harvesting in recent days – a review

Bayesian Framework to Quantify Uncertainties in Piezoelectric Energy Harvesters

Nonlinear Analysis and Performance of Electret-Based Microcantilever Energy Harvesters

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