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 | ASP-DAC 2018 - 23rd Asia and South Pacific Design Automation Conference, Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 281-282 |
| Number of pages | 2 |
| Volume | 2018-January |
| ISBN (Electronic) | 9781509006021 |
| DOIs | |
| Publication status | Published - 2018 Feb 20 |
| Event | 23rd Asia and South Pacific Design Automation Conference, ASP-DAC 2018 - Jeju, Korea, Republic of Duration: 2018 Jan 22 → 2018 Jan 25 |
Other
| Other | 23rd Asia and South Pacific Design Automation Conference, ASP-DAC 2018 |
|---|---|
| Country | Korea, Republic of |
| City | Jeju |
| Period | 18/1/22 → 18/1/25 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Science Applications
- Computer Graphics and Computer-Aided Design
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.
ASP-DAC 2018 - 23rd Asia and South Pacific Design Automation Conference, Proceedings. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 281-282.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 - 2018/2/20
Y1 - 2018/2/20
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=85045315884&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85045315884&partnerID=8YFLogxK
U2 - 10.1109/ASPDAC.2018.8297320
DO - 10.1109/ASPDAC.2018.8297320
M3 - Conference contribution
AN - SCOPUS:85045315884
VL - 2018-January
SP - 281
EP - 282
BT - ASP-DAC 2018 - 23rd Asia and South Pacific Design Automation Conference, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -