Power Management in Low-Power MCUs for Energy IoT Applications

Joint Authors

Tang, Zhong
Xiao, Xiaohui
Lin, Ling
Tan, Nianxiong

Source

Journal of Sensors

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-12-14

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Civil Engineering

Abstract EN

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 μm CMOS process, our comparative analysis demonstrates substantial reduction in power consumption from 1 μA to 0.1 μA.

American Psychological Association (APA)

Lin, Ling& Tang, Zhong& Tan, Nianxiong& Xiao, Xiaohui. 2020. Power Management in Low-Power MCUs for Energy IoT Applications. Journal of Sensors،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1190583

Modern Language Association (MLA)

Lin, Ling…[et al.]. Power Management in Low-Power MCUs for Energy IoT Applications. Journal of Sensors No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1190583

American Medical Association (AMA)

Lin, Ling& Tang, Zhong& Tan, Nianxiong& Xiao, Xiaohui. Power Management in Low-Power MCUs for Energy IoT Applications. Journal of Sensors. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1190583

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1190583