Cross-Domain Simulation of a Plucking Piezoelectric Energy Harvester: Coupling Dynamics, Power Management, and Application

Abstract Piezoelectric energy harvesters (PEHs) represent a compelling alternative to batteries for powering low-power Internet of Things (IoT) electronics, particularly in maintenance-constrained applications. However, the inherently cross-disciplinary scope of the research in this field has impeded the development of a unified multi-physics model that accounts for external excitation, mechanical-to-electrical energy conversion, nonlinear interface circuit behavior, energy management, and system-level power dynamics. This study introduces a system-level simulation framework to overcome the challenge. Using a plucking-mode PEH as an example, we first established its dynamic model and converted it into an equivalent circuit. We then analyzed the energy charging-release cycle and dynamic response characteristics of the harvester. The equivalent circuit model was further used to demonstrate the superior energy transfer efficiency of the self-powered synchronous electronic charge extraction circuit. In addition, the circuit simulation incorporated an energy management module and a wireless IoT node to emulate realistic system operation. This integrated approach bridges the gap between theoretical modeling and practical application evaluation. Finally, experimental tests validated the capability of the plucking-mode PEH to enable self-powered sensing. The methods and findings presented in this work contribute a critical understanding toward improving energy-harvesting efficiency and reliability, supporting the development of practical and scalable self-powered IoT systems.

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Publication Details

Journal
Journal of vibration and acoustics
Published
2026-03-02
DOI
https://doi.org/10.1115/1.4071279
Primary Topic
Innovative Energy Harvesting Technologies
Type
article
Field-Weighted Citation Impact
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article

Cross-Domain Simulation of a Plucking Piezoelectric Energy Harvester: Coupling Dynamics, Power Management, and Application

Yong Li, Ya Wang, Hao Tang, Guobiao Hu
Journal of vibration and acoustics
Innovative Energy Harvesting Technologies
article

Cross-Domain Simulation of a Plucking Piezoelectric Energy Harvester: Coupling Dynamics, Power Management, and Application

Yong Li, Ya Wang, Hao Tang, Guobiao Hu
article en

Abstract

Abstract Piezoelectric energy harvesters (PEHs) represent a compelling alternative to batteries for powering low-power Internet of Things (IoT) electronics, particularly in maintenance-constrained applications. However, the inherently cross-disciplinary scope of the research in this field has impeded the development of a unified multi-physics model that accounts for external excitation, mechanical-to-electrical energy conversion, nonlinear interface circuit behavior, energy management, and system-level power dynamics. This study introduces a system-level simulation framework to overcome the challenge. Using a plucking-mode PEH as an example, we first established its dynamic model and converted it into an equivalent circuit. We then analyzed the energy charging-release cycle and dynamic response characteristics of the harvester. The equivalent circuit model was further used to demonstrate the superior energy transfer efficiency of the self-powered synchronous electronic charge extraction circuit. In addition, the circuit simulation incorporated an energy management module and a wireless IoT node to emulate realistic system operation. This integrated approach bridges the gap between theoretical modeling and practical application evaluation. Finally, experimental tests validated the capability of the plucking-mode PEH to enable self-powered sensing. The methods and findings presented in this work contribute a critical understanding toward improving energy-harvesting efficiency and reliability, supporting the development of practical and scalable self-powered IoT systems.

Journal of vibration and acousticsVol. 148(4)
Hong Kong University of Science and Technology (HK), University of Hong Kong (HK)
Affordable and clean energy
Openalex Percentile: Top 39%
Innovative Energy Harvesting Technologies
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