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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An energy efficient State-of-Charge (SOC) indication algorithm and integrated system for small IoT batteries are introduced in this paper. The system is implemented in a 180-nm CMOS technology. Based on a key finding that small Li-ion batteries exhibit a linear dependence between battery voltage and load current, we propose an instantaneous linear extrapolation (ILE) algorithm and circuit allowing on-demand estimation of SOC. Power consumption is 42nW and maximum SOC indication error is 1.7%.

Original languageEnglish
Title of host publicationASP-DAC 2018 - 23rd Asia and South Pacific Design Automation Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages281-282
Number of pages2
ISBN (Electronic)9781509006021
DOIs
Publication statusPublished - 2018 Feb 20
Event23rd Asia and South Pacific Design Automation Conference, ASP-DAC 2018 - Jeju, Korea, Republic of
Duration: 2018 Jan 222018 Jan 25

Publication series

NameProceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
Volume2018-January

Other

Other23rd Asia and South Pacific Design Automation Conference, ASP-DAC 2018
Country/TerritoryKorea, Republic of
CityJeju
Period18/1/2218/1/25

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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