Paper
10 April 2013 Energy harvesting from harmonic and noise excitation of multilayer piezoelectric stacks: modeling and experiment
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Abstract
This article theoretically and experimentally studies deterministic and stochastic piezoelectric energy harvesting using a multilayer stack configuration for civil infrastructure system applications that involve large compressive loads, such as vehicular and foot loads acting upon pavements. Modeling of vibrational energy harvesters has been mostly focused on deterministic forms of mechanical excitation as in the typical case of harmonic excitation. In this paper, we present analytical and numerical modeling of piezoelectric energy harvesting from harmonic and random vibrations of multilayer piezoelectric stacks under axial compressive loading. The analytical electromechanical solution is based on the power spectral density (PSD) of random excitation and the voltage – to – pressure input frequency response function (FRF) of the harvester. The first one of the two numerical solution methods employs the Fourier series representation of the vibrational excitation history to solve the resulting ordinary differential equation (ODE), while the second method uses an Euler-Maruyama scheme to directly solve the governing electromechanical stochastic differential equation (SDE). The electromechanical model is validated through several experiments for a multilayer PZT-5H stack under harmonic and random excitations. The analytical predictions and numerical simulations exhibit very good agreement with the experimental measurements for a range of resistive loads and input excitation levels.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. Zhao and A. Erturk "Energy harvesting from harmonic and noise excitation of multilayer piezoelectric stacks: modeling and experiment", Proc. SPIE 8688, Active and Passive Smart Structures and Integrated Systems 2013, 86881Q (10 April 2013); https://doi.org/10.1117/12.2009823
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Cited by 6 scholarly publications.
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KEYWORDS
Energy harvesting

Numerical analysis

Stochastic processes

Resistance

Resistors

Transducers

Numerical modeling

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