Paper
28 July 2022 Frequency adjustable energy harvesting for autonomous wireless sensor nodes
Ke Zhou, Qingren Jin, Xiaoming Wang, Bin Feng, Hongdi Sun, Bing Tian, Jingzhong Ma
Author Affiliations +
Proceedings Volume 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022); 123031L (2022) https://doi.org/10.1117/12.2642583
Event: International Conference on Cloud Computing, Internet of Things, and Computer Applications, 2022, Luoyang, China
Abstract
Vibration energy harvesting is a very promising technology for powering wireless sensor nodes. However, the narrow and fixed frequency bands of common vibration energy harvesters greatly limit their widespread applications. In this paper, a mass with movable gravity center is introduced to the cantilever beam of piezoelectric energy harvester for frequency adjustment, and it is used as a power source of an autonomous wireless accelerometer. The frequency of the energy harvester can be adjusted from 130 Hz to 180 Hz. Its output electrical current is rectified, and the electrical energy is stored in an electrolytic capacitor. An automatic voltage regulator circuit is developed as a DC-DC converter to stabilize the output voltage, as well as automatically control the sleep and active mode cycles of the wireless accelerometer. A commercially available MEMS accelerometer is used in the system. An RF transmitter module with a frequency of 315MHz is used for the transmission of acceleration data. The data is wirelessly received by another RF receiving module and recorded in the computer. All parts of the wireless sensor system, including the automatic voltage regulator circuit, accelerometer, and RF transmitter module, are powered by the vibration energy harvester. When the autonomous wireless accelerometer works under the vibration condition of 0.17g @ 177 Hz, the system sends an acceleration data sequence once every 16 s, and the duty cycle of the wirelessly received sensor signal is 0.75%.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ke Zhou, Qingren Jin, Xiaoming Wang, Bin Feng, Hongdi Sun, Bing Tian, and Jingzhong Ma "Frequency adjustable energy harvesting for autonomous wireless sensor nodes", Proc. SPIE 12303, International Conference on Cloud Computing, Internet of Things, and Computer Applications (CICA 2022), 123031L (28 July 2022); https://doi.org/10.1117/12.2642583
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KEYWORDS
Sensors

Energy harvesting

Transmitters

Receivers

Automatic control

Environmental sensing

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