Performance improvement of the stochastic-resonance-based tri-stableenergy harvester under random rotational vibration
作者机构:Department of MechanicsBeijing Institute of TechnologyBeijing 100081China Department of MathematicsXi’an University of Science and TechnologyXi’anShaanxi 710054China
出 版 物:《Theoretical & Applied Mechanics Letters》 (力学快报(英文版))
年 卷 期:2022年第12卷第5期
页 面:326-331页
核心收录:
学科分类:08[工学] 080101[工学-一般力学与力学基础] 0801[工学-力学(可授工学、理学学位)]
基 金:This work has been supported by the National Natural Science Foundation of China(Grant No.12072025) Beijing Natural Science 5 Foundation(Grant No.1222015) the Natural Science Basic Research Program of Shaanxi Province(Grant No.2022JQ-044)
主 题:Tri-stable energy harvesting Stochastic resonance Random rotational vibration Signal-to-noise ratio
摘 要:In this paper,the stochastic-resonance-based tri-stable energy harvester(TEH)is proposed to enhance harvesting performance under random rotational *** electromechanical coupled system interfaced with a standard rectifier circuit driven by colored noise is *** stationary probability density function(SPDF)of the harvester is obtained by the improved stochastic ***,with the adiabatic approximation theory,the analytical expression of signal-to-noise ratio(SNR)for the TEH is deduced to characterize stochastic resonance(SR).To enhance direct current(DC)power delivery from a rotational TEH,the influences of system parameters on SR is *** obtained results suggest that there are damping-induced resonance and noise-intensity-induced SR in the tri-stable *** TEH has higher harvesting performance under the optimal *** is,the optimal parameter combinations can induce optimal SR and maximize harvesting ***,the stochastic-resonance-based TEH can be optimized to enhance energy harvesting through choosing the optimal parameter.