A multi-hole resonator enhanced acoustic energy harvester for ultra-high electrical output and machine-learning-assisted intelligent voice sensing. (April 2023)

• Record Type: Journal Article
• Authors: Zhu, Guojian; Zhou, Yi; Si, Zeyu; Cheng, Yin; Wu, Fei; Wang, Huan; Pan, Yaozong; Xie, Jing; Li, Chaobo; Chen, Aiying; Wang, Ranran; Sun, Jing
• Is Part Of: Nano energy. Volume 108(2023)
• Publication Date: 2023-04
• Subjects: Triboelectric nanogenerator -- Multi-Hole Acoustic Resonator -- Acoustic-to-electricity conversion -- Sound signal sensing -- Machine learning; Nanoscience -- Periodicals; Nanotechnology -- Periodicals; Nanostructured materials -- Periodicals; Power resources -- Technological innovations -- Periodicals; Nanoscience; Nanostructured materials; Nanotechnology; Power resources -- Technological innovations; Periodicals; 621.042
• DOI: 10.1016/j.nanoen.2023.108237
• Languages: English
• ISSNs: 2211-2855

Abstract

Abstract: Acoustic energy harvesters are promising platforms for noise-to-electricity conversion in distributed environmental power supply and sound sensing in intuitive voice user interface. However, their efficacy in real-world applications is frustrated by the low electric output. We here report a multi-hole acoustic resonator enhanced triboelectric nanogenerator (MHAR-TENG) that couples a perforated plate resonator and a pressure differential acoustic receiver. It generated open-circuit voltage of 347 V, short-circuit current of 95 µA, and record-high power density of 8.9 W/m 2 . The numerical simulation confirmed the sound pressure amplification for enhanced output performance. Besides, the high signal-to-noise ratio and precise high-frequency response of electrical signals enabled the high-quality restoration of music and human speech. Assisted by machine learning, the MHAR-TENG realized self-powered voiceprint identification and emotion recognition with a remarkably improved accuracy over 90 %. Our MHAR-TENG holds great potential for efficient acoustic-to-electrical conversion in the fields of noise recycling, biometric authentication, and human-machine interaction. Graphical Abstract: ga1 Highlights: An acoustic nanogenerator by coupling the perforated resonator and the pressure differential acoustic receiver is proposed. A record-high power density of 8.9 W/m 2 is achieved under a low frequency excitation of 150 Hz and 104 dB. The MHAR-TENG provides a new model for acoustic-to-electrical conversion in noise recycling and intelligent voice sensing.