Fully enclosed hybrid electromagnetic–triboelectric nanogenerator to scavenge vibrational energy
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We propose a fully enclosed hybrid nanogenerator consisting of five electromagnetic generators (EMGs) and four triboelectric nanogenerators (TENGs). Under a vibration frequency of 15.5 Hz, one TENG can deliver a high output voltage of approximately 24 V and a low output current of approximately 24 μA, whereas one EMG can deliver a low output voltage of approximately 0.8 V and a high output current of approximately 0.5 mA. By integrating five rectified EMGs in series and four rectified TENGs in parallel, the hybrid nanogenerator can be used to charge a home-made Li-ion battery from 1 to 1.9 V in 6.3 h. By using the hybrid nanogenerator to scavenge the vibrational energy produced by human hands, a temperature–humidity sensor can be sustainably powered by the nanogenerator, which is capable of charging the 200 μF system power capacitor from 0 to 2 V in 15 s, and sustainably power the sensor in 29 s.
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Fully enclosed hybrid electromagnetic–triboelectric nanogenerator to scavenge vibrational energy
)
Abstract
We propose a fully enclosed hybrid nanogenerator consisting of five electromagnetic generators (EMGs) and four triboelectric nanogenerators (TENGs). Under a vibration frequency of 15.5 Hz, one TENG can deliver a high output voltage of approximately 24 V and a low output current of approximately 24 μA, whereas one EMG can deliver a low output voltage of approximately 0.8 V and a high output current of approximately 0.5 mA. By integrating five rectified EMGs in series and four rectified TENGs in parallel, the hybrid nanogenerator can be used to charge a home-made Li-ion battery from 1 to 1.9 V in 6.3 h. By using the hybrid nanogenerator to scavenge the vibrational energy produced by human hands, a temperature–humidity sensor can be sustainably powered by the nanogenerator, which is capable of charging the 200 μF system power capacitor from 0 to 2 V in 15 s, and sustainably power the sensor in 29 s.
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Acknowledgements
This work was supported by Beijing Natural Science Foundation (No. 2154059), the China Postdoctoral Science Foundation (No. 2015M570988), the National Natural Science Foundation of China (Nos. 51472055 and 61404034), External Cooperation Program of BIC, Chinese Academy of Sciences (No. 121411KYS820150028), the 2015 Annual Beijing Talents Fund, and the "thousands talents" program for the pioneer researcher and his innovation team, China.
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