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Artificial intelligence motivated flexible single-electrode mode multilayer triboelectric sensor for smart mobility systems
Nano Energy ( IF 17.6 ) Pub Date : 2024-03-16 , DOI: 10.1016/j.nanoen.2024.109515
Yang Li , Mingze Qin , Qinghui Lin , Jianwen Liu , Shixiang Wu , Zhao Yao , Yuanyue Li , Tao Sun , Hao Kan

Triboelectric tactile sensing technique is increasingly coming into people’s lives to bring convenience, so that there is an urgent necessity for this technique to be applied to smart mobility to increase safety and enhance the mobility experience. Herein, a single-electrode mode multilayer triboelectric sensor (MTS) motivated by artificial intelligence (AI) is proposed, which consists of styrene-butadiene-styrene (SBS)/ poly (vinylida-ene fluoride-trifluoroethylene) (PVDF-TrFE) nanofibers (NFs) film as the friction layer and substrate, laser-induced graphene (LIG)/molybdenum disulfide (MoS) as the charge trapping layer, and Ag as the electrode. The MTS exhibits remarkable sensing performance, such as a wide response range of 5–100 N, 0.4–2 Hz multi-frequency response capability, and non-contact sensing, as well as distinguished self-powered performance. To demonstrate the practical significance of the proposed MTS, two applications are explored specifically after equipping with AI, including: (i) a smart in-vehicle system is constructed, which consists of unlocking section and multifunctional control with early warning section. (ii) a smart car control system is implemented, which can carry out special tasks instead of humans. These applications provide reliable ways to promote the development of human-machine interaction and smart mobility, as well as help to make lifestyles and mobility smarter, safer and more convenient.

中文翻译:

用于智能移动系统的人工智能驱动的灵活单电极模式多层摩擦电传感器

摩擦电触觉传感技术越来越多地走进人们的生活,给人们的生活带来便利,因此迫切需要将该技术应用于智能出行,以提高安全性并增强出行体验。本文提出了一种由人工智能(AI)驱动的单电极模式多层摩擦电传感器(MTS),该传感器由苯乙烯-丁二烯-苯乙烯(SBS)/聚(偏氟乙烯-三氟乙烯)(PVDF-TrFE)纳米纤维组成(NFs)薄膜作为摩擦层和基底,激光诱导石墨烯(LIG)/二硫化钼(MoS)作为电荷捕获层,Ag作为电极。 MTS具有卓越的传感性能,例如5-100 N的宽响应范围、0.4-2 Hz的多频响应能力、非接触式传感以及卓越的自供电性能。为了证明所提出的MTS的实际意义,在配备AI后专门探索了两个应用,包括:(i)构建了智能车载系统,该系统由解锁部分和带有预警部分的多功能控制组成。 (ii)实现了智能汽车控制系统,可以代替人类执行特殊任务。这些应用为推动人机交互和智能出行的发展提供了可靠的途径,有助于让生活方式和出行更加智能、安全、便捷。
更新日期:2024-03-16
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