Magnetically enhanced quasi-zero-stiffness galloping harvester for efficient wind energy harvesting and autonomous sensing

Y Ye Zhang Y Yawei Wang Y Yaozi Zheng (Internet of Things Thrust, The Hong Kong University of Science and Technology (Guangzhou) 1 , Guangzhou, Guangdong 511400,) C Chunbo Lan (National Key Laboratory of Helicopter Aeromechanics, Nanjing University of Aeronautics and Astronautics 2 , Nanjing, Jiangsu 210016,) G Guobiao Hu (Thrust of Internet of Things, The Hong Kong University of Science and Technology (Guangzhou) 1 , Guangzhou, Guangdong 511400,)

Abstract

This study presents an enhanced quasi-zero-stiffness galloping-based piezoelectric energy harvester (EQZS-GPEH) for efficient wind energy harvesting and self-powered wind speed sensing. It employs a five-magnet configuration to expand the QZS region, thus effectively reducing the cantilever beam stiffness, lowering the onset wind speed, and amplifying the dynamic response. The experimental results demonstrate that the EQZS-GPEH delivers a maximum power output of 1.55 mW at a wind speed of U = 4.834 m/s and a load resistance of RL = 0.7 MΩ, representing a 294% improvement over the traditional galloping-based piezoelectric energy harvester (T-GPEH) and a 142% improvement over the conventional QZS galloping-based piezoelectric energy harvester (CQZS-GPEH). Beyond enhanced performance, the EQZS-GPEH also exhibits a highly linear relationship between vibration frequency and wind speed (R2 > 0.99), enabling accurate wind speed estimation. Leveraging this characteristic, an analog-to-digital converter circuit was developed to process harvester output and estimate wind speed, achieving a relative error of <5% compared to reference instrumentation. Integrated with the EQZS-GPEH, this forms a fully self-powered wind speed sensing system. These results demonstrate the EQZS-GPEH as a high-performance self-sustaining solution for distributed energy harvesting and sensing, making it highly promising for future IoT applications.

Article Details

Volume / Issue Vol. 127, Issue 20
Published November 17, 2025
ISSN 0003-6951
Publisher American Institute of Physics

Journal Info

Applied Physics Letters

American Institute of Physics

ISSN: 0003-6951 Physical Sciences

Authors (5)

Y

Ye Zhang

Y

Yawei Wang

Y

Yaozi Zheng

Internet of Things Thrust, The Hong Kong University of Science and Technology (Guangzhou) 1 , Guangzhou, Guangdong 511400,

C

Chunbo Lan

National Key Laboratory of Helicopter Aeromechanics, Nanjing University of Aeronautics and Astronautics 2 , Nanjing, Jiangsu 210016,

G

Guobiao Hu

Thrust of Internet of Things, The Hong Kong University of Science and Technology (Guangzhou) 1 , Guangzhou, Guangdong 511400,