4.6 Article

Optimization of an Impact-Based Frequency Up-Converted Piezoelectric Vibration Energy Harvester for Wearable Devices

期刊

SENSORS
卷 23, 期 3, 页码 -

出版社

MDPI
DOI: 10.3390/s23031391

关键词

piezoelectric materials; energy harvesting; mechanical vibrations; impacts; microsystems

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This work presents a novel development of the impact-based mechanism for piezoelectric vibration energy harvesters. The effect of an impacting mass on a cantilever piezoelectric transducer is studied to find an optimal condition for power extraction. The most effective configuration for power output is found to be an impact at the cantilever tip without a tip mass.
This work presents a novel development of the impact-based mechanism for piezoelectric vibration energy harvesters. More precisely, the effect of an impacting mass on a cantilever piezoelectric transducer is studied both in terms of the tip mass value attached to the cantilever and impact position to find an optimal condition for power extraction. At first, the study is carried out by means of parametric analyses at varying tip mass and impact position on a unimorph MEMS cantilever, and a suitable physical interpretation of the associated electromechanical response is given. The effect of multiple impacts is also considered. From the analysis, it emerges that the most effective configuration, in terms of power output, is an impact at the cantilever tip without a tip mass. By changing the value of the tip mass, a sub-optimal impact position along the beam axis can also be identified. Moreover, the effect of a tip mass is deleterious on the power performance, contrary to the well-known case of a resonant energy harvester. A mesoscale prototype with a bimorph transducer is fabricated and tested to validate the computational models. The comparison shows a good agreement between numerical models and the experiments. The proposed approach is promising in the field of consumer electronics, such as wearable devices, in which the impact-based device moves at the frequencies of human movement and is much lower than those of microsystems.

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