journal article·2022-01

An Efficient Power Management System Using Dynamically Configured Multiple Triboelectric Nanogenerators and Dual‐Parameter Maximum Power Point Tracking

Seneke Chamith Chandrarathna, Sontyana Adonijah Graham, Muhammad Ali, Jae Su Yu, Jong‐Wook Lee

Advanced Energy Materials· Volume 12· Issue 2
Publisher page

Abstract

Abstract Triboelectric nanogenerators (TENGs) have shown great potential as sustainable energy sources with the advantages of a lightweight, low cost, simple fabrication, and small size. Nevertheless, schemes for efficient power extraction from TENGs remains difficult, partly because of their short, high‐voltage (HV) pulse output. The available power from a single TENG is not usually enough for practical applications. An efficient power management system for TENGs using a dynamically reconfigured combining method and dual‐parameter maximum power point tracking (MPPT) is proposed. A series to parallel/parallel to series (SPPS) adaptive control method, which dynamically reconfigures the connection of multiple TENGs, efficiently combines the outputs. An MPPT method, which adjusts the dual parameters in a closed‐loop, provides a wide range for matching the high output impedance (≈MΩ) of TENGs. The proposed technique is implemented using a 416 nW energy harvester interface integrated circuit (EHI‐IC), realized using a 180 nm, 48 V Bipolar‐CMOS‐DMOS (BCD) process. Measured results show that the proposed approach achieves a 159‐fold improvement in power extraction compared to the results without EHI‐IC. Finally, a triboelectric energy harvesting ball (T‐EHB), which combines 12 TENG pairs for multi‐axis excitation, and several examples of device powering are presented using the T‐EHB.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Innovative Energy Harvesting Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Information and Communication System‐on‐chip (SoC) Research Center Department of Electronics and Information Convergence Engineering Kyung Hee University 1732 Deogyeong‐daero, Giheung Yongin Gyeonggi 17104 Republic of Korea

Institute for Wearable Convergence Electronics Department of Electronics and Information Convergence Engineering Kyung Hee University 1732 Deogyeong‐daero, Giheung Yongin Gyeonggi 17104 Republic of Korea

Funding

National Research Foundation of Korea

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