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
N1 - Publisher Copyright:
© 2018 IEEE.
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
U2 - 10.1109/ASPDAC.2018.8297320
DO - 10.1109/ASPDAC.2018.8297320
M3 - Conference contribution
AN - SCOPUS:85045315884
T3 - Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
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.
T2 - 23rd Asia and South Pacific Design Automation Conference, ASP-DAC 2018
Y2 - 22 January 2018 through 25 January 2018
ER -