Strategies for increasing the operating frequency range of vibration energy harvesters: a review

Zhu, Dibin; Tudor, John; Beeby, Steve

doi:10.1088/0957-0233/21/2/022001

Cited by 578 publications

(369 citation statements)

References 39 publications

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“…Small changes in ambient frequency may be accommodated by a wider bandwidth low Q-factor harvester. More significant changes in ambient frequency could require a tuneable solution that can track the ambient frequency [10]. Alternatively, in some applications a harvester that exhibits non-linear behaviour (e.g.…”

Section: Introductionmentioning

confidence: 99%

A comparison of power output from linear and nonlinear kinetic energy harvesters using real vibration data

Beeby

Wang

Zhu

et al. 2013

Smart Mater. Struct.

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Abstract:The design of vibration energy harvesters (VEHs) is highly dependent upon the characteristics of the environmental vibrations present in the intended application. VEHs can be linear resonant systems tuned to particular frequencies or non-linear systems with either bi-stable operation or a Duffing-type response. This paper provides detailed vibration data from a range of applications, which has been made freely available for download through the Energy Harvesting Network's online data repository. In particular, this research shows that simulation is essential in designing and selecting the most suitable vibration energy harvester for particular applications. This is illustrated through C-based simulations of different types of VEHs, using real vibration data from a diesel ferry engine, a combined heat and power pump, a petrol car engine and a helicopter. The analysis shows that a bistable energy harvester only has a higher output power than a linear or Duffing-type nonlinear energy harvester with the same Q-factor when it is subjected to white noise vibration. The analysis also indicates that piezoelectric transduction mechanisms are more suitable for bistable energy harvesters than electromagnetic transduction. Furthermore, the linear energy harvester has a higher output power compared to the Duffing-type nonlinear energy harvester with the same Q factor in most cases. The Duffing-type nonlinear energy harvester can generate more power than the linear energy harvester only when it is excited at vibrations with multiple peaks and the frequencies of these peaks are within its bandwidth. Through these new observations, this paper illustrates the importance of simulation in the design of energy harvesting systems, with particular emphasis on the need to incorporate real vibration data. Keywords: Vibration energy harvesting, real vibration IntroductionEnergy harvesting (also known as energy scavenging) is the conversion of ambient energy present in the environment into electrical energy for the purpose of powering autonomous wireless electronics systems [1]. Kinetic energy harvesting involves the conversion of environmental vibrations and movements into electrical energy [2]. A kinetic energy harvester typically consists of a mechanical structure that couples the environmental kinetic energy to an electro-mechanical transducer that produces the electrical energy. Power conditioning electronics and some form of energy storage (e.g. battery or supercapacitor) are also normally required. In order to effectively couple the environmental kinetic energy to the transducer, the mechanical structure within the harvester must be carefully designed to match the characteristics of the environmental kinetic energy. A common approach is to match the resonant frequency of the harvester to a characteristic frequency present in the environmental vibrations. This means the optimum solution for harvesting vibration energy from an

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Section: Introductionmentioning

confidence: 99%

A comparison of power output from linear and nonlinear kinetic energy harvesters using real vibration data

Beeby

Wang

Zhu

et al. 2013

Smart Mater. Struct.

Self Cite

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“…Some project solutions regard to tuning a device to the resonance (Challa et al, 2008;Eichhorn et al, 2009) that can be accomplished by mechanical, magnetic and piezoelectric adjustments (Peters et al, 2009;Tang et al, 2013). The mechanical adjustment requires known excitation frequency and high cost energy to tuning, magnetic adjustment has limited tuning result and faces a limited micro sizing requirements, and the piezoelectric adjustment is a promising frontier to enhance energy harvesting capability (Zhu et al, 2010). First studies using piezoelectric adjustment results in negative net output power (Roundy and Zhang, 2005) but latter studies from Zhu et al (2010) found a mistake in Roundy and Zhang (2005) formulation that not considered mean voltage to active power determination.…”

Section: Introductionmentioning

confidence: 99%

Linear matrix inequalities control driven for non-ideal power source energy harvesting

Ferreira

Chavarette

Peruzzi

2015

jtam

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The dynamic model of a linear energy harvester excited by a non-ideal power source is coupled to a controller to maximum vibration adjustment. Numerical analysis is taken to evaluate the energy harvested keeping the vibration optimized for the maximum interaction to the energy source using linear matrix inequalities for control driven. The dimensionless power output, actuation power and net output power is determined. As a result, it is possible to verify that the total energy harvested via exogenous vibration using the proposed controller is increased up to 65 times when in comparison to the open loop system.

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“…for use on a helicopter [6]), but have so far been designed to harvest energy from fixed-frequency vibrations. Recent research has proposed vibration harvesters that are able to adjust their resonant frequency [7], but there is a need to consider the impact of this at the system level (rather than simply adding an adaptive generator to an existing system).…”

Section: Introductionmentioning

confidence: 99%

Vibration-powered sensing system for engine condition monitoring

Weddell¹,

Merrett²,

Barrow³

et al. 2012

IET Conference on Wireless Sensor Systems (WSS 2012)

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Condition monitoring is becoming an established technique for managing the maintenance of machinery in transport applications. Vibration energy harvesting allows wireless systems to be powered without batteries, but most traditional generators have been designed to operate at fixed frequencies. The variety of engine speeds (and hence vibration frequencies) in transport applications therefore means that these are not usable. This paper describes the applicationdriven specification, design and implementation of a novel vibration-powered sensing system for condition monitoring of engines. This demonstrates that, through careful holistic design of the entire system, condition monitoring systems can be powered solely from machine vibration, managing their energy resources and transmitting sensed data wirelessly.

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Strategies for increasing the operating frequency range of vibration energy harvesters: a review

Cited by 578 publications

References 39 publications

A comparison of power output from linear and nonlinear kinetic energy harvesters using real vibration data

A comparison of power output from linear and nonlinear kinetic energy harvesters using real vibration data

Linear matrix inequalities control driven for non-ideal power source energy harvesting

Vibration-powered sensing system for engine condition monitoring

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