Modeling a Nonlinear Harvester for Low Energy Vibrations

Andò, B.; Baglio, Salvatore; Marletta, Vincenzo; Bulsara, Adi R.

doi:10.1109/tim.2018.2882901

Cited by 12 publications

(4 citation statements)

References 29 publications

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“…A maximum output power of 131 µW was generated using a 3 g acceleration. Andò et al [40] proposed a snap-through buckling based vibrational energy harvester by adopting a flexible buckled beam, which was able to generate power in the excess of 400 µW under an acceleration of 13.35 m/s 2 . However, large accelerations are generally required to drive the beam to induce snap-through buckling, and it is difficult to fabricate the buckled beam with standard technologies.…”

Section: Introductionmentioning

confidence: 99%

A Low-Frequency MEMS Piezoelectric Energy Harvesting System Based on Frequency Up-Conversion Mechanism

Huang

Hou

et al. 2019

Micromachines

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This paper proposes an impact-based micro piezoelectric energy harvesting system (PEHS) working with the frequency up-conversion mechanism. The PEHS consists of a high-frequency straight piezoelectric cantilever (SPC), a low-frequency S-shaped stainless-steel cantilever (SSC), and supporting frames. During the vibration, the frequency up-conversion behavior is realized through the impact between the bottom low-frequency cantilever and the top high-frequency cantilever. The SPC used in the system is fabricated using a new micro electromechanical system (MEMS) fabrication process for a piezoelectric thick film on silicon substrate. The output performances of the single SPC and the PEHS under different excitation accelerations are tested. In the experiment, the normalized power density of the PEHS is 0.216 μW·g−1·Hz−1·cm−3 at 0.3 g acceleration, which is 34 times higher than that of the SPC at the same acceleration level of 0.3 g. The PEHS can improve the output power under the low frequency and low acceleration scenario.

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Section: Introductionmentioning

confidence: 99%

A Low-Frequency MEMS Piezoelectric Energy Harvesting System Based on Frequency Up-Conversion Mechanism

Huang

Hou

et al. 2019

Micromachines

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“…A more elaborated model and the corresponding measurement procedure are described in [ 28 ], which works further on a device first proposed originally in [ 29 ]. The device is the so-called Preload Snap-Through-Buckling Non-linear Harvester, which comprises a mechanism of frequency up-conversion: a mass suspended on a beam moves back and forth, snapping two piezoelectrics.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, Ref. [ 30 ] also focuses on the modelling of the stiffness of an EM device that results from both physical spring and magnetic repulsion, which is, as in [ 28 ], modelled as a high-order polynomial. However, the estimation of the coefficients is based not on measured data but on EM simulations, as in [ 26 ].…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Characterisation of a Low-Frequency-Vibration Energy Harvester

Plaza,

Iriarte,

Castellano-Aldave

et al. 2024

Sensors

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In this paper, we describe a measurement procedure to fully characterise a novel vibration energy harvester operating in the ultra-low-frequency range. The procedure, which is more thorough than those usually found in the literature, comprises three main stages: modelling, experimental characterisation and parameter identification. Modelling is accomplished in two alternative ways, a physical model (white box) and a mixed one (black box), which model the magnetic interaction via Fourier series. The experimental measurements include not only the input (acceleration)–output (energy) response but also the (internal) dynamic behaviour of the system, making use of a synchronised image processing and signal acquisition system. The identification procedure, based on maximum likelihood, estimates all the relevant parameters to characterise the system to simulate its behaviour and helps to optimise its performance. While the method is custom-designed for a particular harvester, the comprehensive approach and most of its procedures can be applied to similar harvesters.

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“…Recently, the authors have dedicated significant efforts to the investigation and development of analytical models for EHs exploiting the STB mechanism [25,26]. The proposed devices have been characterized and demonstrated to be able to generate powers in the order of hundreds of microwatts with average efficiencies of about 12%.…”

Section: Introductionmentioning

confidence: 99%

Toward a Self-Powered Vibration Sensor: The Signal Processing Strategy

et al. 2021

Self Cite

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This paper, for the first time, investigates the possibility of exploiting a nonlinear bistable snap-through buckling structure employing piezoelectric transducers, to implement an autonomous sensor of mechanical vibrations, with an embedded energy harvesting functionality. The device is operated in the presence of noisy vibrations superimposed on a subthreshold deterministic (sinusoidal) input signal. While the capability of the device to harvest a significant amount of energy has been demonstrated in previous works, here, we focus on the signal processing methodology aimed to extract from the sensor output the information about the noise level (in terms of the standard deviation) and the root mean square amplitude of the deterministic component. The developed methodology, supported by experimental evidence, removes the contribution to the overall piezoelectric output voltage ascribable to the deterministic component using a thresholding and windowing algorithm. The contribution to the output voltage due to the noise can be used to unambiguously estimate the noise level. Moreover, an analytical model to estimate, from the measurement of the output voltage, the RMS amplitude of the deterministic input and the noise-related component is proposed.

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Modeling a Nonlinear Harvester for Low Energy Vibrations

Cited by 12 publications

References 29 publications

A Low-Frequency MEMS Piezoelectric Energy Harvesting System Based on Frequency Up-Conversion Mechanism

A Low-Frequency MEMS Piezoelectric Energy Harvesting System Based on Frequency Up-Conversion Mechanism

Comprehensive Characterisation of a Low-Frequency-Vibration Energy Harvester

Toward a Self-Powered Vibration Sensor: The Signal Processing Strategy

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