Power Management in Low-Power MCUs for Energy IoT Applications

被引:3
|
作者
Lin, Ling [1 ]
Tang, Zhong [1 ]
Tan, Nianxiong [1 ]
Xiao, Xiaohui [1 ]
机构
[1] Vango Technol Inc, Hangzhou 310053, Peoples R China
关键词
D O I
10.1155/2020/8819236
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we identify and address the problems of designing effective power management schemes in low-power MCU design. Firstly, this paper proposes an application-based multipower domain architecture along with a variety of working modes to effectively realize the hierarchical control of power consumption. Furthermore, devices in energy IoT (eIoT) do not always work under the main power supply. When the main power supply is unavailable, the standby power supply (usually the battery) needs to maintain the operation and save the data. In order to ensure the complete isolation between these two power sources, it is always necessary to insert a diode in both select-conduction paths, respectively. In this paper, we built a stable and smooth power switching circuit into the chip, which can effectively avoid the diode voltage loss and reduce the BoM cost. In addition, in the sleep mode, considering the relaxed output voltage range and a limited driving capability requirement, an ultra-low-power standby power circuit is proposed, which can autonomously replace the internal LDO when in sleep, further reducing the sleep power consumption under the main power supply. Fabricated in a standard 0.11 mu m CMOS process, our comparative analysis demonstrates substantial reduction in power consumption from 1 mu A to 0.1 mu A.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] A smart energy management power supply unit for low-power IoT systems
    Filios, Gabriel
    Katsidimas, Ioannis
    Nikoletseas, Sotiris
    Souroulagkas, Alexandros
    Spirakis, Paul
    Tsenempis, Ioannis
    16TH ANNUAL INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS 2020), 2020, : 227 - 235
  • [2] Piezoelectric Sensors as Energy Harvesters for Ultra Low-Power IoT Applications
    Rigo, Francesco
    Migliorini, Marco
    Pozzebon, Alessandro
    SENSORS, 2024, 24 (08)
  • [3] An Architectural Framework for Low-Power IoT Applications
    Yelmarthi, Kumar
    Abdelgawad, Ahmed
    Khattab, Ahmed
    2016 28TH INTERNATIONAL CONFERENCE ON MICROELECTRONICS (ICM 2016), 2016, : 373 - 376
  • [4] Automatic Modulation Classification for low-power IoT applications
    Mondino-Llermanos, Yasmin R.
    Corral-Briones, Graciela
    IEEE LATIN AMERICA TRANSACTIONS, 2024, 22 (03) : 204 - 212
  • [5] Low-Power Embedded ReRAM Technology for IoT Applications
    Ueki, M.
    Takeuchi, K.
    Yamamoto, T.
    Tanabe, A.
    Ikarashi, N.
    Saitoh, M.
    Nagumo, T.
    Sunamura, H.
    Narihiro, M.
    Uejima, K.
    Masuzaki, K.
    Furutake, N.
    Saito, S.
    Yabe, Y.
    Mitsuiki, A.
    Takeda, K.
    Hase, T.
    Hayashi, Y.
    2015 SYMPOSIUM ON VLSI TECHNOLOGY (VLSI TECHNOLOGY), 2015,
  • [6] The Design of a Low-Power Pipelined ADC for IoT Applications
    Zhang, Junkai
    Sun, Tao
    Huang, Zunkai
    Tao, Wei
    Wang, Ning
    Tian, Li
    Zhu, Yongxin
    Wang, Hui
    Sensors, 2025, 25 (05)
  • [7] Low-Power Embedded ReRAM Technology for IoT Applications
    Ueki, M.
    Takeuchi, K.
    Yamamoto, T.
    Tanabe, A.
    Ikarashi, N.
    Saitoh, M.
    Nagumo, T.
    Sunamura, H.
    Narihiro, M.
    Uejima, K.
    Masuzaki, K.
    Furutake, N.
    Saito, S.
    Yabe, Y.
    Mitsuiki, A.
    Takeda, K.
    Hase, T.
    Hayashi, Y.
    2015 SYMPOSIUM ON VLSI CIRCUITS (VLSI CIRCUITS), 2015,
  • [8] CoopNet: Cooperative Convolutional Neural Network for Low-Power MCUs
    Mocerino, Luca
    Calimera, Andrea
    2019 26TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS (ICECS), 2019, : 414 - 417
  • [9] Low-Power Multi-Sensor System with Power Management and Nonvolatile Memory Access Control for IoT Applications
    Hayashikoshi, Masanori
    Noda, Hideyuki
    Kawai, Hiroyuki
    Murai, Yasumitsu
    Otani, Sugako
    Nii, Koji
    Matsuda, Yoshio
    Kondo, Hiroyuki
    IEEE TRANSACTIONS ON MULTI-SCALE COMPUTING SYSTEMS, 2018, 4 (04): : 784 - 792
  • [10] Power Management Circuits for Low-Power RF Energy Harvesters
    Caselli, Michele
    Ronchi, Marco
    Boni, Andrea
    JOURNAL OF LOW POWER ELECTRONICS AND APPLICATIONS, 2020, 10 (03) : 1 - 16