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

  • School of Astronautics, Harbin Institute of Technology
  • Harbin Institute of Technology (Shenzhen)
  • School of Civil Engineering, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

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/s2), load (75–500 Pa), and directional vectors. Furthermore, we develop a groundbreaking self-sensing approach by continuously monitoring the peak open-circuit voltage (VOC) and incorporating the braking distance factor L to establish a self-sensing equation for the friction coefficient based on the time integral of VOC, which represents a significant advancement in self-powered sensing for intelligent transportation. The sensor achieves an acceleration sensitivity of 7.03 V/(m/s2), 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.

Original languageEnglish
Pages (from-to)7579-7591
Number of pages13
JournalACS Applied Materials and Interfaces
Volume18
Issue number4
DOIs
StatePublished - 4 Feb 2026
Externally publishedYes

Keywords

  • Assisted driving
  • Directional detection
  • Enhanced triboelectric interface
  • Sensitivity
  • Triboelectric nanogenerator

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