Congtian Deng
James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.
*Corresponding author: Congtian Deng
Abstract
The power management strategy is the core element of low-power design for intelligent terminals, and its effectiveness directly determines the overall energy efficiency performance of the system. The electronic systems in smart terminals usually have the characteristics of diverse functions and dynamic changes in workload, which puts high demands on the adaptability and flexibility of the power supply system. At the same time, the development of advanced integrated circuit technology also brings new opportunities for low-power design of intel-ligent terminals, making it possible to carry out refined power management at the chip level. On the other hand, the trend of heterogeneous intelligent terminal processors is becoming increasingly evident, integrating multiple types of computing units, which poses new challenges for power management and requires differentiated power consumption control based on the characteristics of different computing units. In addition, the introduction of hybrid power architecture also opens up new avenues for energy-saving optimization of the system, but at the same time requires the development of intelligent scheduling algorithms and reliable power management mechanisms. In view of this, it is of great significance to explore in-depth the power management strategy of low-power electronic systems for intelligent terminals.
References
[1] Tian Y. Design and Implementation of Web based Universal IoT Intelligent Mobile Terminal Software [PhD dissertation]. Beijing: Beijing University of Posts and Telecommunications; 2023.
[2] Deng H. Research on Elastic Stretchable Electronic Devices and Intelligent Microsystems [PhD dissertation]. Chengdu: University of Electronic Science and Technology of China; 2023.
[3] Tong L, Wang J. Progress and Research Challenges of Low Power Wide Area Network LoRa Technology. Chin J Electron. 2024;52(10):3623-42.
[4] Yong, J, Meng Y, Zhang Q, et al. Design of low-power power management electronic circuits in communication devices. Commun Power Technol. 2024;41(8):67-9.
[5] Xu H. Research on Power Management Technology of C8051F005 Microcontroller. Microprocessors. 2023;44(2):35-8.
[6] Jia Y, Jiang Q, Sun H, Liu P, Hu D, Pei Y, Liu W, Crispin X, Fabiano S, Ma Y, Cao Y. Wearable thermoelectric materials and devices for self-powered electronic systems. Advanced Materials. 2021 Oct;33(42):2102990.
[7] Hu H, Yuan WW, Su M, Ou K. Optimizing fuel economy and durability of hybrid fuel cell electric vehicles using deep reinforcement learning-based energy management systems. Energy Conversion and Management. 2023 Sep 1;291:117288.
[8] Wang Z, Liu W, He W, Guo H, Long L, Xi Y, Wang X, Liu A, Hu C. Ultrahigh electricity generation from low-frequency mechanical energy by efficient energy management. Joule. 2021 Feb 17;5(2):441-55.
How to cite this paper
Research on Power Management Strategies for Low Power Electronic Systems Targeting Intelligent Terminals
How to cite this paper: Congtian Deng. (2025) Research on Power Management Strategies for Low Power Electronic Systems Targeting Intelligent Terminals. Journal of Electrical Power & Energy Systems, 9(1), 1-5.
DOI: http://dx.doi.org/10.26855/jepes.2025.06.001