Presentation + Paper
16 March 2018 Self-tuning stochastic resonance energy harvester for smart tires
Hongjip Kim, Wei Che Tai, Lei Zuo
Author Affiliations +
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.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hongjip Kim, Wei Che Tai, and Lei Zuo "Self-tuning stochastic resonance energy harvester for smart tires", Proc. SPIE 10595, Active and Passive Smart Structures and Integrated Systems XII, 105950U (16 March 2018); https://doi.org/10.1117/12.2296689
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Stochastic processes

Energy harvesting

Sensors

Modulation

Magnetism

Numerical simulations

Roads

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