Distributed Parameter Model for Assorted Piezoelectric Harvester to Prevent Charge Cancellation

Krishnasamy, M.; Lenka, Trupti Ranjan

doi:10.1109/lsens.2017.2705348

Cited by 4 publications

(3 citation statements)

References 14 publications

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“…At a higher mass ratio, more than one optimal positioning are found and using a larger number of electrodes improves the output. Krishnasamy and Lenka built a theoretical mode to study the charge cancellation effect in cantilever beams operating at high vibration modes [ 18 ]. Solutions of using segmented electrodes were proposed to prevent the cancelling effect.…”

Section: Introductionmentioning

confidence: 99%

Electrode Coverage Optimization for Piezoelectric Energy Harvesting from Tip Excitation

Chen

Bai

2018

Sensors

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Piezoelectric energy harvesting using cantilever-type structures has been extensively investigated due to its potential application in providing power supplies for wireless sensor networks, but the low output power has been a bottleneck for its further commercialization. To improve the power conversion capability, a piezoelectric beam with different electrode coverage ratios is studied theoretically and experimentally in this paper. A distributed-parameter theoretical model is established for a bimorph piezoelectric beam with the consideration of the electrode coverage area. The impact of the electrode coverage on the capacitance, the output power and the optimal load resistance are analyzed, showing that the piezoelectric beam has the best performance with an electrode coverage of 66.1%. An experimental study was then carried out to validate the theoretical results using a piezoelectric beam fabricated with segmented electrodes. The experimental results fit well with the theoretical model. A 12% improvement on the Root-Mean-Square (RMS) output power was achieved with the optimized electrode converge ratio (66.1%). This work provides a simple approach to utilizing piezoelectric beams in a more efficient way.

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Section: Introductionmentioning

confidence: 99%

Electrode Coverage Optimization for Piezoelectric Energy Harvesting from Tip Excitation

Chen

Bai

2018

Sensors

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“…For any slight variation in strain node because of geometry alteration, the separation between the PZT segments was considered for a distance of 0.5 mm to cover the variation region keeping the strain node at the center. Euler-Bernoulli assumptions provide equation of motion (EoM) of a cantilever with piezoelectric layer as [7] EI(x)…”

Section: Theoretical Modelmentioning

confidence: 99%

“…The cantilever-based PVEH in higher vibration modes has specific strain nodes where the cancellation of electric charge reduces the generated output [6]. Segmentation of the piezoelectric layer or electrodes at this strain node reduces the resonant frequency and increases the power generation in higher vibration modes [7].…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence-Based Optimization of a Bimorph-Segmented Tapered Piezoelectric MEMS Energy Harvester for Multimode Operation

2021

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This paper presents a study on the design and multiobjective optimization of a bimorph-segmented linearly tapered piezoelectric harvester for low-frequency and multimode vibration energy harvesting. The procedure starts with a significant number of FEM simulations of the structure with different geometric dimensions—length, width, and tapering ratio. The datasets train the artificial neural network (ANN) that provides the fitting function to be modified and used in algorithms for optimization, aiming to achieve minimal resonant frequency and maximal generated power. Levenberg–Marquardt (LM) and scaled conjugate gradient (SCG) methods were used to train the ANN, then the goal attainment method (GAM) and genetic algorithm (GA) were used for optimization. The dominant solution resulted from optimization by the genetic algorithm integrated with the ANN fitting function obtained by the SCG training method. The optimal piezoelectric harvester is 121.3 mm long and 71.56 mm wide and has a taper ratio of 0.7682. It ensures over five times greater output power at frequencies below 200 Hz, which benefits the low frequency of the vibration spectrum. The optimized design can harness the power of higher-resonance modes for multimode applications.

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Distributed parameter modeling for autonomous charge extraction of various multilevel segmented piezoelectric energy harvesters

Krishnasamy

Lenka

2017

Microsyst Technol

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Distributed Parameter Model for Assorted Piezoelectric Harvester to Prevent Charge Cancellation

Cited by 4 publications

References 14 publications

Electrode Coverage Optimization for Piezoelectric Energy Harvesting from Tip Excitation

Electrode Coverage Optimization for Piezoelectric Energy Harvesting from Tip Excitation

Artificial Intelligence-Based Optimization of a Bimorph-Segmented Tapered Piezoelectric MEMS Energy Harvester for Multimode Operation

Distributed parameter modeling for autonomous charge extraction of various multilevel segmented piezoelectric energy harvesters

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