Interface-Enhanced Spherical TENG Sensors Based on PVDF and CNT Sponge for Assisted Driving Monitoring

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Authors: Hongyun Chen, Gui-Gen Wang, Jing Zhong, Wei Guan
Cited by: 3
References: 40

Abstract

To enhance motion monitoring and braking distance estimation capabilities for automotive assisted driving systems, this study presents a novel spherical triboelectric nanogenerator (S-TENG) sensor with directional detection capacity. The key innovation lies in integrating material self-forming surface micropores with a carbon nanotube sponge, which creates an enhanced triboelectric interface that significantly optimizes contact dynamics. This unique configuration increases the effective contact area by more than 98.6% and enables detection of subtle motion signals with superior force sensitivity (100.00 kPa –1 ). A major scientific contribution of this work is establishing comprehensive correlations between output signals and critical parameters, including acceleration (0.2–4.1 m/s 2 ), load (75–500 Pa), and directional vectors. Furthermore, we develop a groundbreaking self-sensing approach by continuously monitoring the peak open-circuit voltage ( V OC ) and incorporating the braking distance factor L to establish a self-sensing equation for the friction coefficient based on the time integral of V OC, which represents a significant advancement in self-powered sensing for intelligent transportation. The sensor achieves an acceleration sensitivity of 7.03 V/(m/s 2 ), demonstrating its capability to provide multidirectional motion data. This study not only provides a viable strategy to enhance assisted driving safety but also advances the field of self-powered sensing technologies through its innovative design and analytical framework.

Fields of Study & Subjects

Advanced Sensor and Energy Harvesting Materials Tactile and Sensory Interactions Dielectric materials and actuators

Publication details

Journal / source
ACS Applied Materials & Interfaces
Publisher
American Chemical Society (ACS)
Volume
18
Issue
4
Pages
7579–7591
Publication date
24 January 2026
Language
EN