Autoparametric resonance in a piezoelectric MEMS vibration energy harvester

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

Research output: Contribution to journalConference articlepeer-review


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 languageEnglish
Pages (from-to)226-229
Number of pages4
Journal2018 IEEE Micro Electro Mechanical Systems (MEMS)
Publication statusPublished - 26 Apr 2018
Event2018 IEEE Micro Electro Mechanical Systems (MEMS) - Belfast, United Kingdom
Duration: 21 Jan 201825 Jan 2018

Bibliographical note

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


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