Tapered nonlinear vibration energy harvester for powering Internet of Things

• Published in: Applied energy Vol. 283; p. 116267
• Main Authors: Paul, Kankana, Amann, Andreas, Roy, Saibal
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01-02-2021
• Subjects: Broadband; Electromagnetic transduction; Maximum power point; Power density; Self-powered WSN; Tapered vibration energy harvester; Power density; Electromagnetic transduction; Tapered vibration energy harvester; Maximum power point; Broadband; Self-powered WSN
• ISSN: 0306-2619; 1872-9118
• DOI: 10.1016/j.apenergy.2020.116267

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•Tapered Nonlinear Vibration Energy Harvester(VEH) has been developed.•The nonlinearity substantially widens the hysteresis width to 45 Hz at 1 g excitation.•High power density of up to 2660 μW/cm3g2 is achieved with the nonlinear device.•Maximum Power Point Tracking algorithm suitable for Nonlinear VEHs is presented.•Wireless sensor platform is powered through car vibration with the energy harvester.
The lack of a sustainable power source to substitute batteries for long-term applications limits the widespread deployment of wireless sensor nodes in this era of the Internet of Things. Conventional linear Vibration Energy Harvesters are inefficient in converting ambient mechanical energy into usable electrical energy owing to their narrow frequency bandwidth when harnessing mechanical energy that is spread over a wide range of frequencies. In this work, we design, develop and demonstrate high power density nonlinear wideband energy harvesters using novel tapered spring architectures in an autonomous wireless sensor node system. These spring structures exhibit a nonlinear restoring force arising from the atypical stress distribution that can be additionally tuned by changing the taper-ratio in the structure. We investigate different tapering designs in order to achieve optimal spring hardening nonlinearities. This nonlinearity aids in widening the operable bandwidth, making the harvesters suitable for scavenging energy from real-world broadband vibrations. We obtain power densities of the order of 2660 μW/cm3g2 in the nonlinear energy harvester, outpacing most contemporary energy scavengers. We present a modified Perturb and Observe algorithm that allows tracing of the maximum power point in the context of non-stationary vibration conditions. We use the fabricated nonlinear device to power a wireless sensor node that reports on vital physical parameters (humidity, temperature), thereby enabling a resilient remote data acquisition system. This demonstrates the potential of our design to provide a sustainable energy source for platforms within the Internet of Things.