Research on Vibration Energy Harvesting Technology Driven by Mechanical Intelligence
DOI:
https://doi.org/10.61173/c1kv1588Keywords:
Mechanical intelligence, Vibration energy harvesting, Adaptive systems, Energy sustainabilityAbstract
In light of the explosive growth of Internet of Things (IoT) devices and the global push toward carbon neutrality, vibration energy harvesting (VEH) has emerged as a promising solution to meet the decentralized power demands of wireless sensor networks. However, conventional linear VEH systems suffer from critical limitations, including narrow operational bandwidths (typically less than 3 Hz) and low energy conversion efficiencies (often below 30%), making them unsuitable for dynamic and unpredictable environmental conditions. To overcome these challenges, this study introduces a novel VEH system enhanced by mechanical intelligence. Three key innovations are highlighted: (1) a variable stiffness mechanism that dynamically tunes system resonance, effectively expanding the operational bandwidth to 7 Hz; (2) a multi-degree-of-freedom adaptive framework that enables directional vibration capture, achieving an impressive efficiency of up to 82.5%; and (3) a biomimetic structural design inspired by natural systems, which maintains stable power density under fluctuating input conditions. These advances significantly enhance the adaptability, efficiency, and practical deployment potential of VEH technology in real-world IoT applications.
References
[1] Zhang W, Zhou S. Mechanical intelligent energy harvesting: From methodology to applications. Advanced Energy Materials. 7. Conclusion [2] Liu H. Real-time mechanical impedance matching for This study systematically demonstrates the transformative vibration energy harvesters using deep reinforcement learning. role of mechanical intelligence in the field of vibration en- Joule, 2023, 7(4): 831–848. ergy harvesting (VEH). The research findings reveal that [3] Wang Y R, Lin W T, Huang B J. Rain-induced vibration innovative approaches—such as variable stiffness mecha- energy harvesting using nonlinear plates with piezoelectric nisms, multi-degree-of-freedom frameworks, and biomi- integration and power management. Sensors, 2025, 25(14): metic designs—can expand the operational bandwidth of 4347. VEH systems to three times that of conventional counter- [4] Zhang F. Smart reconfigurable metadevices made of shape parts (up to 7 Hz), enhance energy capture efficiency by memory alloy metamaterials. 2025. 82.5%, and maintain stable outputs of 50 μW/cm² even [5] Cao Y Q, Hou D B. Human-motion adaptability enhancement under micro-vibrations of 0.1 g. These breakthroughs sig- of wearable electromagnetic vibration energy harvesters toward nificantly accelerate the practical deployment of mechani- self-sustained body sensor networks. cally intelligent VEH technologies in applications such as [6] Anonymous. Triboelectric-thermoelectric nanogenerators co- IoT power supply and industrial monitoring. design strategy: A self-powered sensing method for transmission Future development should prioritize three dimensions: line vibration detection. Advanced Materials Technologies, 2025. Fundamental theory: Deepen research into the coupling [7] Yang Y. Comparative study of mechanical vs. electronic mechanisms of nonlinear dynamics and intelligent mate- MPPT in vibration energy harvesting systems. IEEE rials, and establish theoretical models for the conversion Transactions on Industrial Electronics, 2023, 70(8): 8245–8256. efficiency limits of mechanical intelligence. Key tech- [8] Yang Y. Hybrid energy storage systems with solid-state nologies: Develop miniaturized adaptive mechanisms batteries and supercapacitors: A review. Advanced Energy based on MEMS fabrication, and achieve breakthroughs Materials, 2023, 13(8): 2201234. in ultra-low-frequency (<1 Hz) vibration energy capture. [9] Wang H Q. A multifunctional robotic system toward Engineering applications: Establish standardized testing moveable sensing and energy harvesting. and evaluation systems to drive large-scale deployment in [10] Matin Nazar A. Coastal bridge infrastructure: Energyfields such as bridge health monitoring (projected market harvesting and sensing capabilities through magnetic structured size of USD 1.2 billion by 2026) and electronic skin. triboelectric nanogenerators. Journal of Zhejiang University- Industry stakeholders are encouraged to prioritize the SCIENCE A, 2025, 26(6): 540–557. integration of mechanical intelligence with artificial in- [11] Mitcheson P D, Yeatman E M, Rao G K, Holmes A S, telligence (AI), leveraging reinforcement learning to op- Green T C. Energy harvesting from human and machine motion timize adaptive control strategies and ultimately achieve for wireless electronic devices. Proceedings of the IEEE, 2008, fully autonomous evolution of vibration energy harvesting 96(9): 1457–1486.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 by the authors.

This work is licensed under a Creative Commons Attribution 4.0 International License.
