Dynamic power management strategy based on weighted Markov model

Author(s):  
Zujin Yu ◽  
Youmeng Li ◽  
Yikui Zhang
2020 ◽  
Vol 10 (2) ◽  
pp. 19
Author(s):  
Alfio Di Mauro ◽  
Hamed Fatemi ◽  
Jose Pineda de Gyvez ◽  
Luca Benini

Power management is a crucial concern in micro-controller platforms for the Internet of Things (IoT) edge. Many applications present a variable and difficult to predict workload profile, usually driven by external inputs. The dynamic tuning of power consumption to the application requirements is indeed a viable approach to save energy. In this paper, we propose the implementation of a power management strategy for a novel low-cost low-power heterogeneous dual-core SoC for IoT edge fabricated in 28 nm FD-SOI technology. Ss with more complex power management policies implemented on high-end application processors, we propose a power management strategy where the power mode is dynamically selected to ensure user-specified target idleness. We demonstrate that the dynamic power mode selection introduced by our power manager allows achieving more than 43% power consumption reduction with respect to static worst-case power mode selection, without any significant penalty in the performance of a running application.


Energies ◽  
2019 ◽  
Vol 12 (23) ◽  
pp. 4505 ◽  
Author(s):  
Wanneng Yu ◽  
Suwen Li ◽  
Yonghuai Zhu ◽  
Cheng-Fu Yang

Combining new energy technology with electric propulsion technology is an effective way to decrease the pollution of water resources caused by cruise ships. This study examines the stable parallel operation of a ship’s micro-grid system through a dynamic power management strategy involving a step change in load. With cruise ships in mind, we construct a micro-grid system consisting of photovoltaics (PV), a diesel generator (DG), and a lithium battery and establish a corresponding simulation model. We then analyze the system’s operating characteristics under different working conditions and present the mechanisms that influence the power quality of the ship’s micro-grid system. Based on an analysis of the power distribution requirements under different working conditions, we design a power allocation strategy for the micro-grid system. We then propose an optimization allocation strategy for dynamic power based on fuzzy control and a load current feed-forward method, and finally, we simulate the whole system. Through this study we prove that the proposed power management strategy not only verifies the feasibility and correctness of the ship’s micro-grid structure and control strategy, but also greatly improves the reliability and stability of the ship’s operation.


2018 ◽  
Vol 18 (21) ◽  
pp. 8913-8923 ◽  
Author(s):  
Johan J. Estrada-Lopez ◽  
Alejandro A. Castillo-Atoche ◽  
Javier Vazquez-Castillo ◽  
Edgar Sanchez-Sinencio

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