A 42 nJ/Conversion on-demand state-of-charge indicator for miniature IoT li-ion batteries

Junwon Jeong; Seokhyeon Jeong; Dennis Sylvester; David Blaauw; Chulwoo Kim

doi:10.1109/JSSC.2018.2876472

A 42 nJ/Conversion on-demand state-of-charge indicator for miniature IoT li-ion batteries

Junwon Jeong, Seokhyeon Jeong, Dennis Sylvester, David Blaauw, Chulwoo Kim

School of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

An energy-efficient state-of-charge (SOC) indication algorithm and integrated system for low-power wireless sensor nodes with the miniature Internet of Things (IoT) batteries are introduced in this paper. Based on the key findings that the miniature Li-ion batteries exhibit a fast response to the battery current transient, we propose an instantaneous linear extrapolation (ILE) algorithm and circuit system based on the ILE algorithm allowing accurate on-demand estimation of SOC. Due to the on-demand operation, an always-ON current integration is avoided, reducing power and energy consumption by several orders of magnitude. Furthermore, the proposed SOC indicator does not require a battery disconnection from the load, ensuring continuous operation of the applications. The system is implemented in a 180-nm CMOS technology. The power consumption is 42 nW, and maximum SOC indication error is 1.7%. The minimum applicable battery capacity is as low as 2 μ Ah.

Original language	English
Article number	8534453
Pages (from-to)	524-537
Number of pages	14
Journal	IEEE Journal of Solid-State Circuits
Volume	54
Issue number	2
DOIs	https://doi.org/10.1109/JSSC.2018.2876472
Publication status	Published - 2019 Feb

Keywords

Battery
Internet of Things (IoT)
Li-ion battery
SOC indicator
fuel gauge
low power
state of charge (SOC)
wireless sensor node

ASJC Scopus subject areas

Electrical and Electronic Engineering

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/JSSC.2018.2876472

Cite this

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title = "A 42 nJ/Conversion on-demand state-of-charge indicator for miniature IoT li-ion batteries",

abstract = "An energy-efficient state-of-charge (SOC) indication algorithm and integrated system for low-power wireless sensor nodes with the miniature Internet of Things (IoT) batteries are introduced in this paper. Based on the key findings that the miniature Li-ion batteries exhibit a fast response to the battery current transient, we propose an instantaneous linear extrapolation (ILE) algorithm and circuit system based on the ILE algorithm allowing accurate on-demand estimation of SOC. Due to the on-demand operation, an always-ON current integration is avoided, reducing power and energy consumption by several orders of magnitude. Furthermore, the proposed SOC indicator does not require a battery disconnection from the load, ensuring continuous operation of the applications. The system is implemented in a 180-nm CMOS technology. The power consumption is 42 nW, and maximum SOC indication error is 1.7%. The minimum applicable battery capacity is as low as 2 μ Ah.",

keywords = "Battery, Internet of Things (IoT), Li-ion battery, SOC indicator, fuel gauge, low power, state of charge (SOC), wireless sensor node",

author = "Junwon Jeong and Seokhyeon Jeong and Dennis Sylvester and David Blaauw and Chulwoo Kim",

note = "Funding Information: Manuscript received April 17, 2018; revised July 15, 2018 and September 12, 2018; accepted October 4, 2018. Date of publication November 14, 2018; date of current version January 25, 2019. This paper was approved by Associate Editor Piero Malcovati. This work was supported in part by the National Research Foundation of Korea, Ministry of Science, ICT and Future Planning, Korean Government, under Grant 2016R1E1A1A02922127 and in part by the National Science Foundation of USA. (Corresponding author: Chulwoo Kim.) J. Jeong is with the Department of Electrical Engineering, Korea University, Seoul 02841, South Korea, and also with the Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109 USA (e-mail: jjw@kilby.korea.ac.kr). Publisher Copyright: {\textcopyright} 2018 IEEE.",

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doi = "10.1109/JSSC.2018.2876472",

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AU - Jeong, Junwon

AU - Jeong, Seokhyeon

AU - Sylvester, Dennis

AU - Blaauw, David

AU - Kim, Chulwoo

N1 - Funding Information: Manuscript received April 17, 2018; revised July 15, 2018 and September 12, 2018; accepted October 4, 2018. Date of publication November 14, 2018; date of current version January 25, 2019. This paper was approved by Associate Editor Piero Malcovati. This work was supported in part by the National Research Foundation of Korea, Ministry of Science, ICT and Future Planning, Korean Government, under Grant 2016R1E1A1A02922127 and in part by the National Science Foundation of USA. (Corresponding author: Chulwoo Kim.) J. Jeong is with the Department of Electrical Engineering, Korea University, Seoul 02841, South Korea, and also with the Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109 USA (e-mail: jjw@kilby.korea.ac.kr). Publisher Copyright: © 2018 IEEE.

PY - 2019/2

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N2 - An energy-efficient state-of-charge (SOC) indication algorithm and integrated system for low-power wireless sensor nodes with the miniature Internet of Things (IoT) batteries are introduced in this paper. Based on the key findings that the miniature Li-ion batteries exhibit a fast response to the battery current transient, we propose an instantaneous linear extrapolation (ILE) algorithm and circuit system based on the ILE algorithm allowing accurate on-demand estimation of SOC. Due to the on-demand operation, an always-ON current integration is avoided, reducing power and energy consumption by several orders of magnitude. Furthermore, the proposed SOC indicator does not require a battery disconnection from the load, ensuring continuous operation of the applications. The system is implemented in a 180-nm CMOS technology. The power consumption is 42 nW, and maximum SOC indication error is 1.7%. The minimum applicable battery capacity is as low as 2 μ Ah.

AB - An energy-efficient state-of-charge (SOC) indication algorithm and integrated system for low-power wireless sensor nodes with the miniature Internet of Things (IoT) batteries are introduced in this paper. Based on the key findings that the miniature Li-ion batteries exhibit a fast response to the battery current transient, we propose an instantaneous linear extrapolation (ILE) algorithm and circuit system based on the ILE algorithm allowing accurate on-demand estimation of SOC. Due to the on-demand operation, an always-ON current integration is avoided, reducing power and energy consumption by several orders of magnitude. Furthermore, the proposed SOC indicator does not require a battery disconnection from the load, ensuring continuous operation of the applications. The system is implemented in a 180-nm CMOS technology. The power consumption is 42 nW, and maximum SOC indication error is 1.7%. The minimum applicable battery capacity is as low as 2 μ Ah.

KW - Battery

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ER -

A 42 nJ/Conversion on-demand state-of-charge indicator for miniature IoT li-ion batteries

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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