An 88% Efficiency 2.4μW to 15.6μW Triboelectric Nanogenerator Energy Harvesting System Based on a Single-Comparator Control Algorithm

Karim Rawy; Ruchi Sharma; Hong Joon Yoon; Usman Khan; Sang Woo Kim; Tony T. Kim

doi:10.1109/ASSCC.2018.8579338

An 88% Efficiency 2.4μW to 15.6μW Triboelectric Nanogenerator Energy Harvesting System Based on a Single-Comparator Control Algorithm

Karim Rawy, Ruchi Sharma, Hong Joon Yoon, Usman Khan, Sang Woo Kim, Tony T. Kim

Department of Materials Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper presents an energy harvesting system (EHS) based on a triboelectric nanogenerator (TENG). A novel TENG HDL spice model was developed to optimize the proposed ultra-low power (ULP) EHS. The proposed TENG-EHS utilizes a novel single-comparator-control (SCC) algorithm for improving the power conversion efficiency (PCE). It modulates the switching frequency of the implemented switched capacitor charge pump (SCCP) in proportion to the load condition at a given applied vibration frequency (i.e. excitation frequency). Moreover, a novel hysteresis control technique was introduced. It regulates the input voltage at the maximum possible power point without IC breakdown, and adopts a dropout excess charge storage technique. The fabricated test chip in 65-nm CMOS technology achieves a peak PCF. of 88% with 2.4 μW to 15.6 μW input power and power density of 39.59 μW/mm ² .

Original language	English
Title of host publication	2018 IEEE Asian Solid-State Circuits Conference, A-SSCC 2018 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	33-36
Number of pages	4
ISBN (Electronic)	9781538664124
DOIs	https://doi.org/10.1109/ASSCC.2018.8579338
Publication status	Published - 2018 Dec 14
Event	2018 IEEE Asian Solid-State Circuits Conference, A-SSCC 2018 - Tainan, Taiwan, Province of China Duration: 2018 Nov 5 → 2018 Nov 7

Publication series

Name	2018 IEEE Asian Solid-State Circuits Conference, A-SSCC 2018 - Proceedings

Conference

Conference	2018 IEEE Asian Solid-State Circuits Conference, A-SSCC 2018
Country/Territory	Taiwan, Province of China
City	Tainan
Period	18/11/5 → 18/11/7

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

All Science Journal Classification (ASJC) codes

Hardware and Architecture
Electrical and Electronic Engineering

Access to Document

10.1109/ASSCC.2018.8579338

Cite this

Rawy, K., Sharma, R., Yoon, H. J., Khan, U., Kim, S. W., & Kim, T. T. (2018). An 88% Efficiency 2.4μW to 15.6μW Triboelectric Nanogenerator Energy Harvesting System Based on a Single-Comparator Control Algorithm. In 2018 IEEE Asian Solid-State Circuits Conference, A-SSCC 2018 - Proceedings (pp. 33-36). [8579338] (2018 IEEE Asian Solid-State Circuits Conference, A-SSCC 2018 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASSCC.2018.8579338

Rawy, Karim ; Sharma, Ruchi ; Yoon, Hong Joon et al. / An 88% Efficiency 2.4μW to 15.6μW Triboelectric Nanogenerator Energy Harvesting System Based on a Single-Comparator Control Algorithm. 2018 IEEE Asian Solid-State Circuits Conference, A-SSCC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 33-36 (2018 IEEE Asian Solid-State Circuits Conference, A-SSCC 2018 - Proceedings).

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title = "An 88% Efficiency 2.4μW to 15.6μW Triboelectric Nanogenerator Energy Harvesting System Based on a Single-Comparator Control Algorithm",

abstract = " This paper presents an energy harvesting system (EHS) based on a triboelectric nanogenerator (TENG). A novel TENG HDL spice model was developed to optimize the proposed ultra-low power (ULP) EHS. The proposed TENG-EHS utilizes a novel single-comparator-control (SCC) algorithm for improving the power conversion efficiency (PCE). It modulates the switching frequency of the implemented switched capacitor charge pump (SCCP) in proportion to the load condition at a given applied vibration frequency (i.e. excitation frequency). Moreover, a novel hysteresis control technique was introduced. It regulates the input voltage at the maximum possible power point without IC breakdown, and adopts a dropout excess charge storage technique. The fabricated test chip in 65-nm CMOS technology achieves a peak PCF. of 88% with 2.4 μW to 15.6 μW input power and power density of 39.59 μW/mm 2 .",

author = "Karim Rawy and Ruchi Sharma and Yoon, {Hong Joon} and Usman Khan and Kim, {Sang Woo} and Kim, {Tony T.}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Asian Solid-State Circuits Conference, A-SSCC 2018 ; Conference date: 05-11-2018 Through 07-11-2018",

year = "2018",

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language = "English",

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Rawy, K, Sharma, R, Yoon, HJ, Khan, U, Kim, SW & Kim, TT 2018, An 88% Efficiency 2.4μW to 15.6μW Triboelectric Nanogenerator Energy Harvesting System Based on a Single-Comparator Control Algorithm. in 2018 IEEE Asian Solid-State Circuits Conference, A-SSCC 2018 - Proceedings., 8579338, 2018 IEEE Asian Solid-State Circuits Conference, A-SSCC 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 33-36, 2018 IEEE Asian Solid-State Circuits Conference, A-SSCC 2018, Tainan, Taiwan, Province of China, 18/11/5. https://doi.org/10.1109/ASSCC.2018.8579338

An 88% Efficiency 2.4μW to 15.6μW Triboelectric Nanogenerator Energy Harvesting System Based on a Single-Comparator Control Algorithm. / Rawy, Karim; Sharma, Ruchi; Yoon, Hong Joon et al.

2018 IEEE Asian Solid-State Circuits Conference, A-SSCC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. p. 33-36 8579338 (2018 IEEE Asian Solid-State Circuits Conference, A-SSCC 2018 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - This paper presents an energy harvesting system (EHS) based on a triboelectric nanogenerator (TENG). A novel TENG HDL spice model was developed to optimize the proposed ultra-low power (ULP) EHS. The proposed TENG-EHS utilizes a novel single-comparator-control (SCC) algorithm for improving the power conversion efficiency (PCE). It modulates the switching frequency of the implemented switched capacitor charge pump (SCCP) in proportion to the load condition at a given applied vibration frequency (i.e. excitation frequency). Moreover, a novel hysteresis control technique was introduced. It regulates the input voltage at the maximum possible power point without IC breakdown, and adopts a dropout excess charge storage technique. The fabricated test chip in 65-nm CMOS technology achieves a peak PCF. of 88% with 2.4 μW to 15.6 μW input power and power density of 39.59 μW/mm 2 .

AB - This paper presents an energy harvesting system (EHS) based on a triboelectric nanogenerator (TENG). A novel TENG HDL spice model was developed to optimize the proposed ultra-low power (ULP) EHS. The proposed TENG-EHS utilizes a novel single-comparator-control (SCC) algorithm for improving the power conversion efficiency (PCE). It modulates the switching frequency of the implemented switched capacitor charge pump (SCCP) in proportion to the load condition at a given applied vibration frequency (i.e. excitation frequency). Moreover, a novel hysteresis control technique was introduced. It regulates the input voltage at the maximum possible power point without IC breakdown, and adopts a dropout excess charge storage technique. The fabricated test chip in 65-nm CMOS technology achieves a peak PCF. of 88% with 2.4 μW to 15.6 μW input power and power density of 39.59 μW/mm 2 .

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Rawy K, Sharma R, Yoon HJ, Khan U, Kim SW, Kim TT. An 88% Efficiency 2.4μW to 15.6μW Triboelectric Nanogenerator Energy Harvesting System Based on a Single-Comparator Control Algorithm. In 2018 IEEE Asian Solid-State Circuits Conference, A-SSCC 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 33-36. 8579338. (2018 IEEE Asian Solid-State Circuits Conference, A-SSCC 2018 - Proceedings). doi: 10.1109/ASSCC.2018.8579338

An 88% Efficiency 2.4μW to 15.6μW Triboelectric Nanogenerator Energy Harvesting System Based on a Single-Comparator Control Algorithm

Abstract

Publication series

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Bibliographical note

All Science Journal Classification (ASJC) codes

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