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PEO-PDMS-based triboelectric nanogenerators as self-powered sensors for driver status monitoring

摩擦电效应 汽车工程 材料科学 自动驾驶 纳米技术 工程类 复合材料
作者
Fangyuan Luo,Bin Chen,Ran Xu,Wei Ou‐Yang,Shang Liang
出处
期刊:Chemical Engineering Journal [Elsevier BV]
卷期号:451: 138961-138961 被引量:35
标识
DOI:10.1016/j.cej.2022.138961
摘要

• A green method to fabricate TENG is realized using Tea-PDMS and NaCl-PEO. • The output of the TENG is improved by about 10 times via NaCl and tea doping. • A monitoring system is established for driver fatigue and concentration detection. The number of traffic accidents is growing with the ever-increasing vehicles, and most of the traffic accidents are due to fatigue or distracted driving. Thus, it is necessary to monitor the driver’s status in real-time. However, current detection methods mainly rely on sensors that need a continuous power supply. Here, a polyethylene oxide (PEO)-polydimethylsiloxane (PDMS)-based triboelectric nanogenerator as a self-powered sensor was designed for biological signal monitoring. According to the experimental results, by adding green and low-cost substances sodium chloride and tea powder in PEO and PDMS films, respectively, the output voltage and current of the sensor are increased by about 9.75 and 8.21 times. The proposed sensor has a high sensitivity of 0.7 V/kPa in the linear range of 0 ∼ 50 kPa and a fast response time of 36 ms. Moreover, a high-performance and low-cost driver status monitoring system was designed. The sensors were attached to the driver's neck and seat belt to monitor neck activities and breathing states. By extracting parameters from the output voltage waveform, the system can judge and display the degrees of driver fatigue and concentration. The proposed system is conducive to improving road traffic safety and has the potential to be applied in intelligent transportation.
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