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A 70-to-2 V Triboelectric Energy Harvesting System Utilizing Parallel-SSHI Rectifier and DC-DC Converters

Ismail Kara, Mustafa Becermis, Mohamed Abdel-Aal Kamar, Mustafa Aktan, Hakan Doğan, Senol Mutlu

2020IEEE Transactions on Circuits and Systems I Regular Papers52 citationsDOI

Abstract

In this article, first integrated circuit (IC) implementation of parallel synchronized switching harvesting on inductor (p-SSHI) is presented for triboelectric energy harvester targeting 1 Hz to 5 Hz mechanical motions. It is accompanied by on-chip buck and switched capacitor DC-DC converters, all capable of handling 70 V levels. Unlike piezoelectric harvesters, triboelectric nanogenerators (TENGs) can produce very high open-circuit voltages; thus, the proposed system utilizes this property within the technology limits to maximize the extracted power. An in-house manufactured TENG using steel and polytetrafluoroethylene (PTFE) is modeled for sub-5 Hz motions. The energy is extracted and stored in an external capacitance until its voltage reaches 70 V, which is achieved in three press-and-release mechanical cycles. 70-to-2 V down conversion is carried on by 70-to-10 V buck converter followed by a 10-to-2 V switched capacitor DC-DC converter. A chip is manufactured in 0.18 μm HV BCD process with an active area of 6.25 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> . End-to-end peak efficiency is measured as 32.71% for 1 Hz motion with a 722 μW total power delivery to the load for 4 ms.

Topics & Concepts

Triboelectric effectInductorEnergy harvestingRectifier (neural networks)CapacitorMaterials scienceElectrical engineeringCapacitanceConvertersVoltageSwitched capacitorPower (physics)OptoelectronicsPhysicsEngineeringComputer scienceElectrodeQuantum mechanicsRecurrent neural networkMachine learningComposite materialStochastic neural networkArtificial neural networkAdvanced Sensor and Energy Harvesting MaterialsConducting polymers and applicationsInnovative Energy Harvesting Technologies
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