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Proceedings Paper

Self-tuning stochastic resonance energy harvester for smart tires
Author(s): Hongjip Kim; Wei Che Tai; Lei Zuo
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Paper Abstract

Energy harvesting from smart tire has been an influential topic for researchers over several years. In this paper, we propose novel energy harvester for smart tire taking advantage of adaptive tuning stochastic resonance. Compared to previous tire energy harvesters, it can generate large power and has wide bandwidth. Large power is achieved by stochastic resonance while wide-bandwidth is accomplished by adaptive tuning via centrifugal stiffening effect. Energy harvesting configuration for modulated noise is described first. It is an electromagnetic energy harvester consists of rotating beam subject to centrifugal buckling. Equation of motion for energy harvester is derived to investigate the effect of centrifugal stiffening. Numerical analysis was conducted to simulate response. The result show that high power is achieved with wide bandwidth. To verify the theoretical and simulation results, the experiment was conducted. Equivalent horizontal rotating platform is built to mimic tire environment. Experiment results showed good agreement with the numerical result with around 10% of errors, which verified feasibility of proposed harvester. Maximum power 1.8mW is achieved from 3:1 scale experiment setup. The equivalent working range of harvester is around 60-105 km/h which is typical speed for car in general road and highway.

Paper Details

Date Published: 16 March 2018
PDF: 13 pages
Proc. SPIE 10595, Active and Passive Smart Structures and Integrated Systems XII, 105950U (16 March 2018); doi: 10.1117/12.2296689
Show Author Affiliations
Hongjip Kim, Virginia Polytechnic Institute and State Univ. (United States)
Wei Che Tai, Virginia Polytechnic Institute and State Univ. (United States)
Lei Zuo, Virginia Polytechnic Institute and State Univ. (United States)


Published in SPIE Proceedings Vol. 10595:
Active and Passive Smart Structures and Integrated Systems XII
Alper Erturk, Editor(s)

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