Improving the Scavenged Power of Nonlinear Piezoelectric Energy Harvesting Interface at Off-Resonance by Introducing Switching Delay

Hsieh, Ping-Hsuan; Chen, Chi-Huan; Chen, Hung-Chen

doi:10.1109/tpel.2014.2334611

Cited by 61 publications

(52 citation statements)

References 31 publications

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“…Y. Cai et al proposed in parallel a similar approach, analyzing this strategy using equivalent impedances methods [18]. In 2015, P. H. Hsieh et al proposed to add a tunable switching delay to the Parallel Synchronized Switch Harvesting on Inductance (P-SSHI) [19]. Thereafter, B. Zhao et al proposed to combine the idea of adding a tunable switching delay with the synchronized multiple bias-flip (SMBF) concept [20], which consists in optimizing the charges inversion processes thanks to multiple voltage-changing steps [21].…”

Section: Introductionmentioning

confidence: 99%

Frequency tuning of piezoelectric energy harvesters thanks to a short-circuit synchronous electric charge extraction

Morel

Pillonnet

Gasnier

et al. 2018

Smart Mater. Struct.

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This paper introduces a new electrical strategy for maximizing the energy scavenged from highly coupled and lowly damped piezoelectric energy harvesters. The proposed strategy named Short-Circuit Synchronous Electric Charge Extraction (SC-SECE) introduces a shortcircuit phase whose start time " and duration can be adjusted. The control of " and allows to electrically adapt the dynamics of the electromechanical harvester. In a first part, we analytically derive the influences of " and on the harvester dynamics, and prove that they both affect the damping induced by the electrical interface on the mechanical resonator and its resonant frequency. Thereafter, we numerically evaluate the SC-SECE performances as a function of the intrinsic harvester's characteristics. We expose that if the coupling and/or mechanical quality factor of the harvester are important enough, the SC-SECE leads to enhanced power frequency responses compared to SECE and SEH strategies. Experimental results on a high coupling piezoelectric energy harvester associated with the SC-SECE strategy have been realized and are in good agreement with the analytical predictions. Under various vibrations amplitudes, the harvester's resonant frequency has been tuned on a frequency range as large as 35% of its natural resonant frequency. We have been able to harvest more than 92 for vibration frequencies ranging from 90Hz to 140Hz, under an external acceleration of 0.2 .

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Section: Introductionmentioning

confidence: 99%

Frequency tuning of piezoelectric energy harvesters thanks to a short-circuit synchronous electric charge extraction

Morel

Pillonnet

Gasnier

et al. 2018

Smart Mater. Struct.

View full text Add to dashboard Cite

show abstract

“…A limitation of the BF technique is that its efficiency is typically between 80% and 90% [6]; the losses occur in the inductor and switch. When a PEH with low κ 2 e is used, the BF voltage for frequencies away from resonance becomes large, and BF losses limit output power [3,7]. However, for PEHs having large κ 2 e , f sc and f oc become well separated, the BF voltage in this range becomes low, and BF losses become small, thereby increasing the BW over which substantial energy can be harvested.…”

Section: Bias-flip Circuitmentioning

confidence: 99%

Co-optimization of a piezoelectric energy harvesting system for broadband operation

Zhao

Radhakrishna

Hanly

et al. 2019

J. Phys.: Conf. Ser.

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The goal of this research is to increase the bandwidth (BW) over which substantial energy can be harvested using a piezoelectric energy harvester (PEH). The key innovation is the use of bias-flip (BF) electronics at the output of a PEH having a large electromechanical coupling coefficient κ 2 e . For a PEH with large κ 2 e , the open-circuit resonance frequency foc is substantially larger than the short-circuit resonance frequency fsc. Over the intervening range, the reactive part of the conjugate matched load impedance is small, and can be approximated using BF electronics in which the BF voltage is sufficiently small and the BF losses are small. This results in a large BW over which substantial energy can be harvested. Experimental results using a commercially available PEH are presented to demonstrate this concept. Design guidelines are provided for achieving PEHs having increased κ 2 e .

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“…As an important factor, the Bias Flip efficiency has a heavy influence on the harvested power of a PZT EHD . A small discrepancy of the Bias Flip efficiency can result in a large error on the predicted harvested power.…”

Section: Introductionmentioning

confidence: 99%

“…As an important factor, the Bias Flip efficiency has a heavy influence on the harvested power of a PZT EHD. 4,6 A small discrepancy of the Bias Flip efficiency can result in a large error on the predicted harvested power. For instance, according to Figure 2, at vibration frequencies 30% above or below the mechanical resonant frequency (150 or 80 Hz, respectively), it can be concluded that only 15% reduction of the Bias Flip efficiency can result in a decrease of the harvested power by as much as about 400%.…”

Section: Introductionmentioning

confidence: 99%

An artificial neural network‐based approach for the impedance modeling of piezoelectric energy harvesting devices

Zhao

2018

Int J Numerical Modelling

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In this paper, the equivalent series resistance (ESR) and capacitance (ESC) of piezoelectric energy harvesting devices have been modeled accurately over a wide frequency range for the first time. It is shown that the impedance modeling of the ESR and ESC is demonstrated as an important factor for the design of the Bias Flip (or the parallel synchronized switching harvesting on an inductor) interface circuit, which affects the performance of energy harvesting seriously. The conventional Butterworth‐Van Dyke (BVD) model and the modified BVD model are analyzed to state their imprecise modeling performance. To address this problem, an artificial neural network (ANN) technique with prior knowledge input method is employed to improve the model accuracy of the ESR and ESC. Also, a least‐squares curve fitting method is presented to compare with the ANN model. A good matching has been obtained between the measured and ANN‐predicted ESR and ESC in the frequency range of 2600 to 3600 Hz. The excellent performance on the accuracy of the proposed method is further illustrated through the comparison on the average relative error and maximum relative error with the conventional BVD, modified BVD model, and the curve fitting method.

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Improving the Scavenged Power of Nonlinear Piezoelectric Energy Harvesting Interface at Off-Resonance by Introducing Switching Delay

Cited by 61 publications

References 31 publications

Frequency tuning of piezoelectric energy harvesters thanks to a short-circuit synchronous electric charge extraction

Frequency tuning of piezoelectric energy harvesters thanks to a short-circuit synchronous electric charge extraction

Co-optimization of a piezoelectric energy harvesting system for broadband operation

An artificial neural network‐based approach for the impedance modeling of piezoelectric energy harvesting devices

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