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Characterization of challenges in asymmetric nonlinear vibration energy harvesters subjected to realistic excitation
Journal of Sound and Vibration ( IF 4.7 ) Pub Date : 2020-09-01 , DOI: 10.1016/j.jsv.2020.115460
Wen Cai , Ryan L. Harne

Abstract With an explosion of the internet of things (IoT), vibration energy harvesting provides an environmentally friendly solution to replace consumable batteries in powering IoT wireless sensors. Yet, when implemented in practice, ambient vibration input energy is much less periodic than assumptions adopted in previous studies. This becomes especially important given that asymmetries are inevitable in nonlinear device platforms. This research sheds light on these complex challenges of practical vibration energy harvesting by developing and exploring an analytical model based on equivalent linearization. The modeling approach provides an opportunity to understand influences of asymmetry, nonlinearity, and combined excitation response on the DC power delivery of energy harvesters. In the analytical model, a weighted Gaussian joint distribution is utilized to approximate the influences caused by the random excitation. Combined with numerical and experimental validation, the analysis indicates that with the increase of stochastic base acceleration, two outcomes are possible. A first outcome involves an enhancement of DC power by way of triggering large amplitude nonlinear oscillations. A second outcome corresponds to a loss of high power delivery since the noise interferes with the attainment of the snap-through dynamic. Either reducing asymmetry or increasing harmonic excitation component is found to be favorable to induce the power-enhancing dynamics and inhibit the occurrence of the second case. Although with the simplified Gaussian distribution, the analytical framework cannot reproduce exact details of the dynamic responses in every case, the results show that the statistical trends of the analysis are overall borne out in simulation and experiment. This indicates the new modeling of this research may help guide attention to design and deployment techniques for nonlinear vibration energy harvesters in practical combined excitation environments, where limitations on precise manufacture or placement may introduce structural asymmetry.

中文翻译:

非对称非线性振动能量采集器在实际激励下的挑战表征

摘要 随着物联网 (IoT) 的爆炸式增长,振动能量收集提供了一种环保的解决方案,以替代为物联网无线传感器供电的消耗性电池。然而,在实践中实施时,环境振动输入能量的周期性远低于先前研究中采用的假设。考虑到非线性设备平台中不可避免的不对称性,这变得尤为重要。这项研究通过开发和探索基于等效线性化的分析模型,揭示了实际振动能量收集的这些复杂挑战。建模方法提供了一个机会来了解不对称性、非线性和组合激励响应对能量收集器直流功率传输的影响。在分析模型中,加权高斯联合分布用于近似随机激励引起的影响。结合数值和实验验证,分析表明随着随机基础加速度的增加,可能出现两种结果。第一个结果涉及通过触发大振幅非线性振荡来增强直流功率。第二个结果对应于高功率传输的损失,因为噪声干扰了快速通过动态的实现。发现减少不对称性或增加谐波激励分量有利于诱导功率增强动态并抑制第二种情况的发生。尽管使用简化的高斯分布,分析框架无法在每种情况下重现动态响应的准确细节,结果表明,分析的统计趋势在模拟和实验中得到了总体证实。这表明这项研究的新模型可能有助于引导人们关注实际组合激励环境中非线性振动能量收集器的设计和部署技术,在这种环境中,精确制造或放置的限制可能会导致结构不对称。
更新日期:2020-09-01
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