Ultrafast self-powered strain sensor utilizing a flexible solar cell

In the era of the rapidly growing Internet of Things (IoT), self-powered strain sensors play a vital role in ensuring the structural health of equipment and enabling intelligent monitoring systems . While integrating photovoltaic cells with sensing arrays to create self-sustaining sensing systems that operate continuously without external charging is promising, the design involving distinct sensors and energy-generating devices connected via conditioning circuits can pose integration challenges. Therefore, our novel approach of using copper indium gallium selenide (CIGS) solar cells directly as self-powered strain sensors excels in reducing system complexity. Density functional theory (DFT) calculations used to evaluate the effects of strain on the bandgap of the material showed downward trends under tensile and compressive loads. COMSOL Multiphysics simulations using the DFT results confirmed a direct correlation between strain and the device output voltage changes, establishing the working principle of the strain sensor. The CIGS sensor exhibits high linearity, low hysteresis, and an ultrafast response (0.03 ms) under impact tests. Environmental impact assessments lead to corrective measures to enhance the performance reliability. A distributed CIGS strain sensor network was able to successfully monitor wing deformation and can measure vibrations up to 20,000 Hz, marking significant progress toward practical applications in self-powered structural health monitoring . A novel approach uses solar cells directly as self-powered strain sensors, simplifying the integrated self-powered sensing system with distinct solar cells and sensors. DFT calculations and COMSOL simulations confirm the effects of strain on the bandgap of the material as well as on the changes in solar cell voltage. The sensor shows high linearity, low hysteresis, and an ultrafast response. As the developed sensor is capable of monitoring wing deformation and vibrations up to 20,000 Hz, it will enable advances in self-powered SHM applications. • Ultrafast photovoltaic strain sensor for distributed structural health monitoring. • Accurate measurements under high strain level and high frequency vibration. • Dual functionality as energy producer and strain sensor. • Direct-current sensing signal output enables simple measuring circuit.

Authors

Institutions

Publication Details

Journal
Nano Energy
Published
2025-03-29
DOI
https://doi.org/10.1016/j.nanoen.2025.110920
Citations
9
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
6.07
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ultrafast self-powered strain sensor utilizing a flexible solar cell

Daoyi Li, Yang Lu, Qingdan Huang, Yuzhao Qiang et al.
9 citations
Nano Energy
Advanced Sensor and Energy Harvesting Materials
6.07
article

Ultrafast self-powered strain sensor utilizing a flexible solar cell

Daoyi Li, Yang Lu, Qingdan Huang, Yuzhao Qiang, Ziye Chen, Xiaogang Guo, Chao Zhang, Wenchao Huang
article en
9 citations

Abstract

In the era of the rapidly growing Internet of Things (IoT), self-powered strain sensors play a vital role in ensuring the structural health of equipment and enabling intelligent monitoring systems . While integrating photovoltaic cells with sensing arrays to create self-sustaining sensing systems that operate continuously without external charging is promising, the design involving distinct sensors and energy-generating devices connected via conditioning circuits can pose integration challenges. Therefore, our novel approach of using copper indium gallium selenide (CIGS) solar cells directly as self-powered strain sensors excels in reducing system complexity. Density functional theory (DFT) calculations used to evaluate the effects of strain on the bandgap of the material showed downward trends under tensile and compressive loads. COMSOL Multiphysics simulations using the DFT results confirmed a direct correlation between strain and the device output voltage changes, establishing the working principle of the strain sensor. The CIGS sensor exhibits high linearity, low hysteresis, and an ultrafast response (0.03 ms) under impact tests. Environmental impact assessments lead to corrective measures to enhance the performance reliability. A distributed CIGS strain sensor network was able to successfully monitor wing deformation and can measure vibrations up to 20,000 Hz, marking significant progress toward practical applications in self-powered structural health monitoring . A novel approach uses solar cells directly as self-powered strain sensors, simplifying the integrated self-powered sensing system with distinct solar cells and sensors. DFT calculations and COMSOL simulations confirm the effects of strain on the bandgap of the material as well as on the changes in solar cell voltage. The sensor shows high linearity, low hysteresis, and an ultrafast response. As the developed sensor is capable of monitoring wing deformation and vibrations up to 20,000 Hz, it will enable advances in self-powered SHM applications. • Ultrafast photovoltaic strain sensor for distributed structural health monitoring. • Accurate measurements under high strain level and high frequency vibration. • Dual functionality as energy producer and strain sensor. • Direct-current sensing signal output enables simple measuring circuit.

Nano EnergyVol. 139
Beijing Institute of Technology (CN), Northwestern Polytechnical University (CN), Wuhan University of Technology (CN), Beihang University (CN)
Affordable and clean energy
Openalex Percentile: Top 4%
Advanced Sensor and Energy Harvesting Materials
6.07
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.