期刊
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
卷 68, 期 3, 页码 2225-2235出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIE.2020.2975457
关键词
Broadband vibration; energy harvesting; piezoelectric; self-tuning resonance; sensorless
资金
- National Natural Science Foundation of China [U1709218, 61971389, 61801253, 61771268, 61601429]
- Zhejiang Provincial Natural Science Foundation of China [LZ20F010006, LY20F010003]
- Ningbo Natural Science Foundation of China [2019A610113, 2018A610091]
- K. C. Wong Magna Fund in Ningbo University
This article introduces a broadband piezoelectric vibration energy harvesting system that actively adjusts its resonant frequency using a microstepper to regulate the position of the mass. It also presents a new method for online dynamic detection of the piezoelectric transducer's vibration status without additional sensors. Experimental results show that the system can efficiently self-power in a wide range of ambient vibration frequencies.
This article presents a broadband piezoelectric vibration energy harvesting system. It can actively tune its resonant frequency to match the frequency of the ambient vibration excitation. The energy harvester is comprised of a movable mass attached to a piezoelectric cantilever beam. And a microstepper is employed to adjust the position of the mass for regulating the resonant frequency. Furthermore, in this article, a new method is proposed for the online dynamic detection of the piezoelectric transducer (PZT) vibration statement without any additional sensors. A circuit is proposed to detect the ambient vibration excitation frequency deviation against the resonant frequency only by measuring the phase difference between the open-circuit voltage and the short-circuit current of the PZT. Experimental results indicate a frequency broadening rate of up to 60.56%, while the maximum extraction efficiency is 84.8%. It can harvest vibration energy and self-power the system in a wide broadband ambient excitation vibration frequency for the wireless sensor network nodes.
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