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 |
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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 |
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 |
Publication series
Name | Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC |
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Volume | 2018-January |
Other
Other | 23rd Asia and South Pacific Design Automation Conference, ASP-DAC 2018 |
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Country/Territory | Korea, Republic of |
City | Jeju |
Period | 18/1/22 → 18/1/25 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Computer Science Applications
- Computer Graphics and Computer-Aided Design