期刊
NANO ENERGY
卷 90, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.nanoen.2021.106544
关键词
Triboelectric; Self-powered; Decayed resonant signal; Magnetic sensor; Wireless sensing
类别
资金
- National Key Research and Development Program of China [2018YFB2002500]
- National Natural Science Foundation of China [61974037, 61904042]
- Natural Science Foundation of Zhejiang Province [LY21F040006]
- Zhejiang Province Key Research and Development Programs [2018C01037, 2020C03039]
- Zhejiang Lab [2018EB0ZX01]
- Zhejiang University Education Foundation Global Partnership Fund
The paper introduces a PSW-TENG system for real-time wireless sensing, which uses an LC resonant circuit and a charge pump to enhance the output signal of TENG for transmission up to 2 meters. This system enables the detection of metal components and simultaneous identification and counting of the types and passing number of tins on a conveyor.
Harvesting high entropy energy using triboelectric nanogenerator (TENG) has attracted more and more attentions. For normal self-powered wireless sensing applications, a significant portion of harvested energy will be consumed by the subsequent power management and wireless communication units, leading to the incapability of real-time wireless sensing. In this paper, we proposed a pumping switched TENG (PSW-TENG) for real-time wireless sensing. An inductor magnetic sensor coil integrated with the TENG forms a LC resonant circuit, converts the pulsed output of TENG into resonant signal with the encoded sensing information,which is significantly boosted using an integrated microswitch and a charge pump, and then transmitted via a laser diode up to 2 m. The sensor system has been utilized to detect metallic components passing through. The self-powered metal component monitoring system has a height recognition sensitivity of 11.7 kHz/mm and a horizontal position recognition sensitivity of 5.6 kHz/mm with the largest error of 8.5 kHz, showing good sensitivity and stability. Based on the sensing system, the types and passing number of tins on a conveyor can be simultaneously identified and counted. All the results have demonstrated the great potential of the real-time self-powered wireless sensing system for production line management.
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