A 42nJ/conversion On-Demand State-of-Charge Indicator for Miniature IoT Li-ion Batteries

被引:0
|
作者
Jeong, Junwon [1 ,2 ]
Jeong, Seokhyeon [2 ]
Kim, Chulwoo [1 ]
Sylvester, Dennis [2 ]
Blaauw, David [2 ]
机构
[1] Korea Univ, Seoul, South Korea
[2] Univ Michigan, Ann Arbor, MI 48109 USA
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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%.
引用
收藏
页码:281 / 282
页数:2
相关论文
共 50 条
  • [41] Control of the State-of-Charge of a Li-ion Battery Cell via Reference Governor
    Romagnoli, Raffaele
    Couto, Luis D.
    Kinnaert, Michel
    Garone, Emanuele
    IFAC PAPERSONLINE, 2017, 50 (01): : 13747 - 13753
  • [42] Li-ion Battery Pack State-of-Charge Estimation Disturbed by Colored Noises
    Cheng, Ximing
    Wang, Shouqun
    Yao, Liguang
    8TH INTERNATIONAL CONFERENCE ON APPLIED ENERGY (ICAE2016), 2017, 105
  • [43] Linear correlation between state-of-health and incremental state-of-charge in Li-ion batteries and its application to SoH evaluation
    Wen, Jici
    Zou, Qingrong
    Chen, Chunguang
    Wei, Yujie
    ELECTROCHIMICA ACTA, 2022, 434
  • [44] A Novel ADEKF Method for State-of-Charge Estimation of Li- ion Batteries
    Chang, Shanshan
    Mao, Ling
    Zhao, Jinbin
    Qu, Keqing
    Li, Fen
    INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE, 2022, 17 (01):
  • [45] An Improved Model-Based Self-Adaptive Filter for Online State-of-Charge Estimation of Li-Ion Batteries
    Zhang, Chi
    Yan, Fuwu
    Du, Changqing
    Rizzoni, Giorgio
    APPLIED SCIENCES-BASEL, 2018, 8 (11):
  • [46] Hybrid Prompt-Driven Large Language Model for Robust State-of-Charge Estimation of Multitype Li-ion Batteries
    Bian, Chong
    Han, Xue
    Duan, Zhiyu
    Deng, Chao
    Yang, Shunkun
    Feng, Junlan
    IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, 2025, 11 (01): : 426 - 437
  • [47] Cross-Domain State-of-Charge Estimation of Li-Ion Batteries Based on Source Domain Selection and Attention Mechanism
    Zhang, Wenliang
    Hu, Jingwei
    Lin, Bing
    Liu, Dui
    Wang, Mingfen
    Mu, Delong
    Lin, Chenye
    Lu, Yu
    INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2024, 2024
  • [48] State-of-Charge Estimation of Li-ion Batteries Based on A Hybrid Model Using Nonlinear Autoregressive Exogenous Neural Networks
    Zhang, Yuxiang
    Zhao, Chunyu
    Zhu, Senlin
    2018 IEEE PES ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2018,
  • [49] Design and implementation of a fuzzy logic-based state-of-charge meter for Li-ion batteries used in portable defibrillators
    Singh, Pritpal
    Vinjamuri, Ramana
    Wang, Xiquan
    Reisner, David
    JOURNAL OF POWER SOURCES, 2006, 162 (02) : 829 - 836
  • [50] C-Rate- and Temperature-Dependent State-of-Charge Estimation Method for Li-Ion Batteries in Electric Vehicles
    Aslan, Eyyup
    Yasa, Yusuf
    ENERGIES, 2024, 17 (13)