Ambient Stable Triboelectric Nanogenerator Based on Conductive Filler Modified Silicone Rubber with Gas Barrier Encapsulation for Footstep Energy Conversion

Ambient Stable Triboelectric Nanogenerator Based on Conductive Filler Modified Silicone Rubber with Gas Barrier Encapsulation for Footstep Energy Conversion

A humidity-tolerant triboelectric nanogenerator is developed using conductive carbon black-modified silicone rubber and a flame-retardant gas barrier layer. The device efficiently harvests footstep energy while maintaining stable output under 30–90% RH and over 1 million cycles. It also functions as a self-powered motion sensor, offering a scalable strategy for ambient-stable biomechanical energy conversion.

Abstract

Human motion, particularly foot-ground interaction during locomotion, generates substantial biomechanical energy that remains largely underutilized. Triboelectric nanogenerators (TENGs) have emerged as a promising solution for harvesting such energy, yet their long-term performance under ambient humidity remains a major challenge for real-world deployment. Herein, a spring-assisted contact-separation mode TENG is reported, composed of high-temperature vulcanized (HTV) silicone rubber filled with 1 phr of conductive carbon black (600JD). The addition of 600JD increases the surface charge density by 55% compared to unfilled silicone rubber. The optimized device delivers a peak power density of 179.9 mW·m−2 and is capable of powering over 1,900 commercial LEDs. To overcome moisture sensitivity, a flame-retardant chlorinated isobutylene-isoprene rubber (CIIR) encapsulation layer with excellent gas barrier properties is introduced, enabling stable operation across a broad relative humidity range (30–90% RH). The device retains 98.3% of its initial short-circuit current after more than 1 000 000 mechanical cycles, indicating exceptional durability. Beyond energy harvesting, the TENG also functions as a self-powered sensor capable of footstep detection, step frequency monitoring, and motion pattern recognition. This work presents a resilient and scalable design strategy for ambient-stable TENGs toward footstep energy harvesting and intelligent sensing under variable environmental conditions.

​Advanced Science, EarlyView. Read More

wpChatIcon
    wpChatIcon