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 language | English |
|---|---|
| Title of host publication | 2017 Symposium on VLSI Circuits, VLSI Circuits 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | C206-C207 |
| ISBN (Electronic) | 9784863486065 |
| DOIs | |
| Publication status | Published - 2017 Aug 10 |
| Event | 31st Symposium on VLSI Circuits, VLSI Circuits 2017 - Kyoto, Japan Duration: 2017 Jun 5 → 2017 Jun 8 |
Other
| Other | 31st Symposium on VLSI Circuits, VLSI Circuits 2017 |
|---|---|
| Country | Japan |
| City | Kyoto |
| Period | 17/6/5 → 17/6/8 |
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ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Electrical and Electronic Engineering
Cite this
A 42nJ/conversion on-demand state-of-charge indicator for miniature IoT Li-ion batteries. / Jeong, Junwon; Jeong, Seokhyeon; Kim, Chulwoo; Sylvester, Dennis; Blaauw, David.
2017 Symposium on VLSI Circuits, VLSI Circuits 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. C206-C207 8008484.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A 42nJ/conversion on-demand state-of-charge indicator for miniature IoT Li-ion batteries
AU - Jeong, Junwon
AU - Jeong, Seokhyeon
AU - Kim, Chulwoo
AU - Sylvester, Dennis
AU - Blaauw, David
PY - 2017/8/10
Y1 - 2017/8/10
N2 - 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%.
AB - 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%.
UR - http://www.scopus.com/inward/record.url?scp=85034089781&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85034089781&partnerID=8YFLogxK
U2 - 10.23919/VLSIC.2017.8008484
DO - 10.23919/VLSIC.2017.8008484
M3 - Conference contribution
SP - C206-C207
BT - 2017 Symposium on VLSI Circuits, VLSI Circuits 2017
PB - Institute of Electrical and Electronics Engineers Inc.
ER -