Autoparametric resonance in a piezoelectric MEMS vibration energy harvester

Yu Jia; Sijun Du; Emmanuelle Arroyo; Ashwin A Seshia

doi:10.1109/MEMSYS.2018.8346525

Autoparametric resonance in a piezoelectric MEMS vibration energy harvester

Yu Jia, Sijun Du, Emmanuelle Arroyo, Ashwin A Seshia

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper reports for the first time the achievement of autoparametric resonance in a piezoelectric MEMS energy harvester without compromising transducer strain energy optimisation, in order to enhance the efficiency of vibration energy harvesting. The autoparametrically driven energy harvester in excess of a two-fold increase in power output than the same device driven into direct resonance at the same acceleration level, and about an order of magnitude higher in power density normalised to acceleration squared relative to the state-of-the-art.

Original language	English
Pages (from-to)	226-229
Number of pages	4
Journal	2018 IEEE Micro Electro Mechanical Systems (MEMS)
Volume	2018
DOIs	https://doi.org/10.1109/MEMSYS.2018.8346525
Publication status	Published - 26 Apr 2018
Event	2018 IEEE Micro Electro Mechanical Systems (MEMS) - Belfast, United Kingdom Duration: 21 Jan 2018 → 25 Jan 2018

Bibliographical note

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Funding: This work was supported by EPSRC (EP/L010917/1).

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10.1109/MEMSYS.2018.8346525

Autoparametric resonance in a piezoelectric MEMS vibration energy harvester
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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abstract = "This paper reports for the first time the achievement of autoparametric resonance in a piezoelectric MEMS energy harvester without compromising transducer strain energy optimisation, in order to enhance the efficiency of vibration energy harvesting. The autoparametrically driven energy harvester in excess of a two-fold increase in power output than the same device driven into direct resonance at the same acceleration level, and about an order of magnitude higher in power density normalised to acceleration squared relative to the state-of-the-art.",

author = "Yu Jia and Sijun Du and Emmanuelle Arroyo and Seshia, {Ashwin A}",

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AU - Du, Sijun

AU - Arroyo, Emmanuelle

AU - Seshia, Ashwin A

N1 - © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Funding: This work was supported by EPSRC (EP/L010917/1).

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N2 - This paper reports for the first time the achievement of autoparametric resonance in a piezoelectric MEMS energy harvester without compromising transducer strain energy optimisation, in order to enhance the efficiency of vibration energy harvesting. The autoparametrically driven energy harvester in excess of a two-fold increase in power output than the same device driven into direct resonance at the same acceleration level, and about an order of magnitude higher in power density normalised to acceleration squared relative to the state-of-the-art.

AB - This paper reports for the first time the achievement of autoparametric resonance in a piezoelectric MEMS energy harvester without compromising transducer strain energy optimisation, in order to enhance the efficiency of vibration energy harvesting. The autoparametrically driven energy harvester in excess of a two-fold increase in power output than the same device driven into direct resonance at the same acceleration level, and about an order of magnitude higher in power density normalised to acceleration squared relative to the state-of-the-art.

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DO - 10.1109/MEMSYS.2018.8346525

M3 - Conference article

SN - 2160-1968

VL - 2018

SP - 226

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JO - 2018 IEEE Micro Electro Mechanical Systems (MEMS)

JF - 2018 IEEE Micro Electro Mechanical Systems (MEMS)

T2 - 2018 IEEE Micro Electro Mechanical Systems (MEMS)

Y2 - 21 January 2018 through 25 January 2018

ER -

Autoparametric resonance in a piezoelectric MEMS vibration energy harvester

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