Communication Dans Un Congrès Année : 2024

STONEHENGE - A toolbox for nonlinear vibration energy harvesting

Résumé

This paper presents STONEHENGE (https://stonehengesuite.org), a comprehensive suite for the nonlinear analysis of energy harvesting systems, specifically designed to study piezoelectric vibration energy harvesters. These systems leverage nonlinearity, introduced through strategically placed magnets, to enhance energy harvesting efficiency across a broad frequency spectrum, though at the cost of increased system complexity. The STONE-HENGE toolbox offers a robust set of tools for analyzing and characterizing these complex dynamics, featuring modules for initial value problem analysis, dynamic animation, nonlinear analysis, sensitivity analysis, stochastic simulation, and chaos control. Building on this foundation, recent enhancements have been made to include uncertainty quantification and non-convex optimization, as well as novel models with asymmetries and amplifiers. These additions further extend the toolbox's capabilities, enabling more comprehensive and reliable analysis of nonlinear energy harvesting systems. The paper discusses both the traditional and novel features of STONEHENGE, highlighting its utility in advancing the development and refinement of sustainable energy harvesting technologies.

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Dates et versions

hal-05069729 , version 1 (15-05-2025)

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  • HAL Id : hal-05069729 , version 1

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Americo Cunha Jr, João Pedro Norenberg, João Victor L. L. Peterson, Vinicius Gonçalves Lopes, Roberto Luo, et al.. STONEHENGE - A toolbox for nonlinear vibration energy harvesting. XLV Ibero-Latin-American Congress on Computational Methods in Engineering (CILAMCE 2024), Nov 2024, Maceio (Brazil), Brazil. ⟨hal-05069729⟩

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