Journal
NANO ENERGY
Volume 97, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.nanoen.2022.107148
Keywords
Human thermal comfort; Human-Machine Interaction; Self-powered multifunctional system; Machine learning; Integrated device
Categories
Funding
- National Natural Science Foundation of China [52071282]
- Applied Basic Research Foundation of Yunnan Province [202001BB050046]
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Reasonable depletion of energy resource is critical for the advancement of human society. In this study, composite nanofibers were prepared by electrospinning to provide personal thermal comfort and tactile triboelectric nanogeneration. The output performance of the nanogenerator was optimized and achieved superior effective peak power density. This technology has important application value in the field of electronics.
Reasonable depletion of energy resource to realize energy affair is critical to ever-lasting advancement of human society, such as passive thermal management strategy and self-powered technologies, promoting emergence of integrated and functionalized energy device. Here, series of multiply-utilization-type composite nanofibers were prepared by electrospinning to apply for personal thermal comfort and tactile triboelectric nanogenerator (T-TENG). Our heating/cooling pattern enables a skin simulator's temperature increase/decrease of 8.7 degrees C/2.5 degrees C respectively under sunlight exposure. Thermoelectricity was utilized to transform the heat into electricity with a maximum voltage of 157.6 mV. Besides, with optimization of structure and materials of T-TENG, optimum output performance with open-circuit voltage (V-OC) of 215.1 V, short-circuit current (I-SC) of 2.54 mu A, transfer charge (Q(T)) of 70.72 nC and superior effective peak power density of 362.58 mW M-2 were acquired. Furthermore, a self-powered game controller with signal acquiring and processing circuits for manipulation of game characters was achieved, and the International Morse Code that relay on motion recognition was first time realized with assistance of machine learning. The flexible and self-powered T-TENG manifests an imperative application value in electronics for HMI and wearable device.
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