同济大学学报（自然科学版）2025，Vol.53Issue(5)：723-731,9.DOI:10.11908/j.issn.0253-374x.23346
基于折纸-摩擦纳米发电的路面抗滑性能自驱动感知
Self-Powered Pavement Skid-Resistance Sensing Based on Origami-Inspired Triboelectric Nanogenerator
摘要
Abstract
The study of pavement skid resistance is of great significance for improving driving safety and reducing traffic accidents.However,existing vision-based onboard units cannot quickly determine safe speed and following distance in complex road conditions,contributing to traffic accidents.To address this challenge,this paper integrates the triboelectric nanogenerator(TENG)with origami design principles,leading to the development of a Yoshimura origami-inspired triboelectric nanogenerator(YO-TENG).This YO-TENG is mounted onto the surface of vehicle tires,forming a YO-TENG smart tire system.Moreover,the accuracy of YO-TENG in real-time monitoring of pavement skid resistance under different conditions,specifically friction coefficient and vehicle speed,was evaluated using the newly built indoor intelligent tire testing platform.The results show that the fitting degree between the short-circuit current peak value of YO-TENG and the road friction coefficient is as high as approximately 96.36%.Even when the influence of actual vehicle speed is considered,the correlation coefficient still reaches 90.64%.This paper provides valuable theoretical guidance for the development of self-powered,real-time sensing systems for pavement skid resistance monitoring.关键词
道路工程/抗滑感知/折纸技术/摩擦纳米发电Key words
road engineering/skid-resistance sensing/origami technology/triboelectric nanogenerator(TENG)分类
交通运输引用本文复制引用
庞亚凤,刘帅年,朱兴一..基于折纸-摩擦纳米发电的路面抗滑性能自驱动感知[J].同济大学学报（自然科学版）,2025,53(5):723-731,9.基金项目
国家重点研发项目(2023YFE0202400)、上海市科学技术委员会国际合作项目(22210710700) （2023YFE0202400）
