Circuit integration and road test of self tuning stochastic resonance energy harvesters for smart tire

2020 ◽  
Author(s):  
Hongjip Kim ◽  
Hyunjun Jung ◽  
Lei Zuo
Keyword(s):  
Stochastic Resonance ◽  
Resonance Energy ◽  
Road Test ◽  
Energy Harvesters ◽  
Circuit Integration ◽  
Self Tuning

scholarly journals A Two-Step Cooperative Energy Detection Algorithm Robust to Noise Uncertainty

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Tingting Yang ◽  
Yucheng Wu ◽  
Liang Li ◽  
Weiyang Xu ◽  
Weiqiang Tan
Keyword(s):  
Stochastic Resonance ◽  
Signal To Noise Ratio ◽  
Resonance Energy ◽  
Energy Detection ◽  
Detection Algorithm ◽  
Second Step ◽  
Final Decision ◽  
Noise Uncertainty ◽  
Robust To Noise ◽  
Significant Increment

In order to achieve accurate interference detection in complex electromagnetic environments, a two-step cooperative stochastic resonance energy detection (TCSRED) algorithm is proposed to address the problem, where the traditional energy detection (ED) performance is susceptible to noise uncertainty. By combining two thresholds and two-step cooperation, the generalized stochastic resonance is applied to the energy detection, which effectively reduces the complexity and detection time. In particular, when a certain decision result is obtained in the first step of detection, the decision is finished and the second step of detection is unnecessary. Otherwise, the second step of detection is performed to obtain the final decision result. Simulation results show that the proposed algorithm is robust to the noise uncertainty. Even in the case of a low signal-to-noise ratio (SNR), it also performs better than existing methods without significant increment of the complexity.

scholarly journals On the Effect of the Electrical Load On Vibration Energy Harvesting Under Stochastic Resonance

2020 ◽  
Author(s):  
Panagiotis Alevras
Keyword(s):  
Energy Harvesting ◽  
Stochastic Resonance ◽  
Power Output ◽  
Broadband Noise ◽  
Nonlinear Dependence ◽  
Vibration Energy ◽  
Optimal Harvesting ◽  
Vibration Energy Harvesting ◽  
Promising Alternative ◽  
Energy Harvesters

Abstract Vibration energy harvesting is a promising alternative for powering wireless electronics in many practical applications. Ambient vibration energy in the surrounding space of a target application often involves an inescapable randomness in the exciting vibrations, which may lead to deterioration of the expected power gains due to insufficient tuning and limited optimal designs. Stochastic resonance is a concept that has recently been considered for exploiting this randomness towards improving power generation from vibrating systems, based on the co-existence of near-harmonic vibrations with broadband noise excitations in a variety of practical mechanical systems. This paper is concerned with the optimal conditions for stochastic resonance in vibration energy harvesters, exploring the frequently neglected effect of realistic architectures of the electrical circuit on the system dynamics and the achievable power output. A parametric study is conducted using a numerical Path Integration method to compute the response Probability Density Functions of vibration energy harvesters, focusing on the effect of standard electrical components; namely, a load resistor, a rectifier and a capacitor. It is found that the conditions for stochastic resonance exhibit a nonlinear dependence on the weak harmonic excitation amplitude. Moreover, the modified nonlinear dissipation properties introduced by the rectifier and the capacitor lead to a trade-off between the power output and the non-conducting dynamics that is essential in order to determine optimal harvesting designs.

Sign in / Sign up

Export Citation Format

Share Document