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A Novel CMOS reconfigurable rectifier for wearable piezoelectric energy harvesters
Author(s) -
Suany Vázquez-Valdés,
R. Juárez-Aguirre,
R. M. Woo-García,
Primavera Argüelles-Lucho,
Agustín L. HerreraMay,
Johan J. Estrada-López,
Francisco López-Huerta
Publication year - 2021
Publication title -
revista uis ingenierías
Language(s) - English
Resource type - Journals
eISSN - 2145-8456
pISSN - 1657-4583
DOI - 10.18273/revuin.v21n1-2022009
Subject(s) - rectifier (neural networks) , cmos , energy harvesting , precision rectifier , electrical engineering , voltage , transistor , energy conversion efficiency , electronic engineering , materials science , power semiconductor device , power (physics) , engineering , computer science , power factor , physics , stochastic neural network , quantum mechanics , machine learning , recurrent neural network , artificial neural network
Wearable energy harvesters have potential application in the conversion of human-motion energy into electrical energy to power smart health-monitoring devices, the textile industry, smartwatches, and glasses. These energy harvesters require optimal rectifier circuits that maximize their charging efficiencies. In this study, we present the design of a novel complementary metal-oxide semiconductor (CMOS) reconfigurable rectifier for wearable piezoelectric energy harvesters that can increase their charging efficiencies. The designed rectifier is based on standard 0.18 µm CMOS process technology considering a geometrical pattern with a total silicon area of 54.765 µm x 86.355 µm. The proposed rectifier circuit has two transmission gates (TG) that are composed of four rectifier transistors with a charge of 45 kΩ, a minimum input voltage of 500 mV and a maximum voltage of 3.3 V. Results of numerical simulations of the rectifier performance indicate a voltage conversion efficiency of 99.4% and a power conversion efficiency up to 63.3%. The proposed rectifier can be used to increase the charging efficiency of wearable piezoelectric energy harvesters.

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