Efficiency of energy conversion for a piezoelectric power harvesting system

Shu, Y. C.; Lien, I. C.

doi:10.1088/0960-1317/16/11/026

Cited by 284 publications

(219 citation statements)

References 52 publications

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“…Fabricating the PZT layer using an aerosol deposition method has been proven to be a quick, efficient and easy-to-pattern MEMS process [42,43]. The aerosol deposition equipment deposited PZT film up to 0.1 micrometer per minute.…”

Section: Pzt Deposition Methodsmentioning

confidence: 99%

Piezoelectric MEMS Power Generators for Vibration Energy Harvesting

Wu¹,

Lee²

2012

Small-Scale Energy Harvesting

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Section: Pzt Deposition Methodsmentioning

confidence: 99%

Piezoelectric MEMS Power Generators for Vibration Energy Harvesting

Wu¹,

Lee²

2012

Small-Scale Energy Harvesting

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“…Consequently, a full wave rectifier bridge is required. A capacitance may also be used to smooth the rectified voltage leading to a classical circuit for rectifying and s moothing an alternating voltage [8], [30], as represented in Figure 6. In [14], the authors used a Linear Technology component integrating a full-wave rectifier as well as a storage capacitance.…”

Section: Terminal Electric Loadmentioning

confidence: 99%

Energy Harvesting Process Modelling of an Aeronautical Structural Health Monitoring System Using a Bond-Graph Approach

Sainthuile¹,

Grondel²,

Delebarre³

et al. 2013

AEROSPACE

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Energy Harvesting is a pro mising solution for powering Structural Health Monitoring (SHM ) systems since various mechanical energy sources are generated by aircraft. Today, the main technique to harvest energy consists of using a specific conversion device to provide power to the SHM system. In this paper however, a novel technique to obtain a self-powered SHM system for aeronautical structures is proposed. This SHM system aims to have a double functionality: it will carry out classical SHM tasks using piezoelectric transducers bonded onto the aircraft structure and will also be fully autonomous since the same transducers will convert the mechanical v ibrations of the structure into electrical power. Using a bonded piezoelectric t ransducer to harvest energy will also bring wideband frequency energy harvesting capability. Th is autonomous system using a unique transducer being particularly innovative, the objective of this paper is to provide a complete Bond Graph model of the energy harvesting process in order to allow the optimisation of its performances. This approach is well-suited to monitor the power and energy transfer carried out during the process since it takes into account the interaction between mu ltiphysics systems, here the electrical and mechanical domains in terms of power and energy variables. Consequently, each part of the energy harvesting, i.e. the mechanical v ibration of the host structure, the vibration within the SHM energy harvester volume, the piezoelectric electro mechanical conversion and the terminal electric load have been modelled analytically using this Bond Graph approach. Then, each submodel has been verified with a baseline Fin ite Element model. Good agreements have been found and it has been possible to carry out an estimat ion of the power harvested by the SHM energy harvester for a given mechanical excitation using this innovative complete analytical Bond Graph model.

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“…Figure 1 shows a generic system and it can be modelled by the following ordinary differential equations [5]- [7].…”

Section: A Piezoelectric Energy Harvestermentioning

confidence: 99%

Optimisation of a piezoelectric system for energy harvesting from traffic vibrations

Yan

Wong

et al. 2009

2009 IEEE International Ultrasonics Symposium

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Abstract-Piezoelectric systems are viewed as a promising approach to energy harvesting from environmental vibrations. The energy harvested from real vibration sources is usually difficult to estimate analytically. Therefore, it is hard to optimise the associated energy harvesting system. This work investigates the optimisation of a piezoelectric cantilever system using a genetic algorithm based approach with numerical simulations. The genetic algorithm globally considers the effects of each parameter to produce an optimal frequency response to scavenge more energy from the real vibrations while the conventional sinusoidal based method can only optimise the resistive load for a given resonant frequency. Experimental acceleration data from the vibrations of a vehicle-excited manhole cover demonstrates that the optimised harvester automatically selects the right frequency and also synchronously optimises the damper and the resistive load. This method shows great potential for optimizing the energy harvesting systems with real vibration data.

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Efficiency of energy conversion for a piezoelectric power harvesting system

Cited by 284 publications

References 52 publications

Piezoelectric MEMS Power Generators for Vibration Energy Harvesting

Piezoelectric MEMS Power Generators for Vibration Energy Harvesting

Energy Harvesting Process Modelling of an Aeronautical Structural Health Monitoring System Using a Bond-Graph Approach

Optimisation of a piezoelectric system for energy harvesting from traffic vibrations

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