Automatic resonance tuning mechanism for ultra-wide bandwidth mechanical energy harvesting

Authors
Shin, Youn-HwanChoi, JaehoonKim, Seong JinKim, Sang TaeMaurya, DeepamSung, Tae-HyunPriya, ShashankKang, Chong-YunSong, Hyun-Cheol
Issue Date
2020-11
Publisher
Elsevier BV
Citation
Nano Energy, v.77
Abstract
Piezoelectric energy harvesters typically exhibit sharp peak in output power around resonance frequency (small bandwidth), which presents complexity in harvesting ambient vibrations that normally comprise of multiple frequencies. Prior attempts in designing energy harvesters with broadband response have met with practical challenges in terms of low output power, large mass and weight, and small improvements in bandwidth. Here, we report a breakthrough in demonstrating ultra-wide bandwidth piezoelectric energy harvesters through the automatic resonance tuning (ART) phenomenon. ART provides energy harvester ability to adjust its natural frequency in conjunction with ambient vibration without human intervention or additional tuning energy. The ART energy harvester utilizes the motion of the mobile proof mass in a doubly clamped oscillating beam structure to modulate the natural frequency of the beam. Detailed investigations are conducted in providing a fundamental understanding of the operation mechanism of the ART harvester by invoking beam dynamics over a wide range of vibration conditions. It is shown that bandwidth of the ART harvester (36 Hz) is 1400% larger compared to the fixed resonance energy harvester. The practical feasibility of the ART mechanism is demonstrated by evaluating the performance of the harvester mounted on a rotary pump. The results demonstrate that ART mechanism can provide the much-needed breakthrough in the deployment of mechanical energy harvesters for naturally occurring vibrations.
Keywords
VIBRATION; BEAM; Automatic resonance tuning; Energy harvesting; Broad bandwidth; Piezoelectric
ISSN
2211-2855
URI
https://pubs.kist.re.kr/handle/201004/117950
DOI
10.1016/j.nanoen.2020.104986
Appears in Collections:
KIST Article > 2020
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