DocumentCode :
81026
Title :
Sleep power minimisation using adaptive duty-cycling of DC–DC converters in state-retentive systems
Author :
Balsamo, Domenico ; Brunelli, Davide ; Paci, Giacomo ; Benini, Luca
Author_Institution :
Dept. of Electr., Electron. & Inf. Eng. (DEI), Univ. of Bologna, Bologna, Italy
Volume :
8
Issue :
6
fYear :
2014
fDate :
11 2014
Firstpage :
478
Lastpage :
486
Abstract :
Aggressive power management techniques, which combine hardware and software solutions, are fundamental for embedded computing platforms today, especially if they are battery operated. This paper proposes an adaptive low-level algorithm, which modulates the DC-DC converter activation for minimising quiescent current consumption. This algorithm allows a discontinuous usage of the DC-DC converter during the sleep time, without requiring modification in the user´s main program, by powering the system solely with the internal DC-DC converter capacitor and without using any other additional capacitors as an energy buffer. The algorithm computes the maximum interval between consecutive wake-ups necessary for the capacitor recharging at run-time. Intervals are decided by taking into account both the global leakage and the temperature-dependent variations of the capacitor. The proposed solution significantly enhances the lifetime of applications with a low activity rate, such as wireless sensor networks, while still guaranteeing efficient power delivery for high-current demand intervals.
Keywords :
DC-DC power convertors; capacitors; embedded systems; low-power electronics; DC-DC converters; adaptive duty-cycling; capacitor recharging; embedded computing platforms; global leakage; internal DC-DC converter capacitor; low-level dynamic DC-DC management algorithm; power management; quiescent current consumption; sleep power minimisation; state-retentive systems; wireless sensor networks;
fLanguage :
English
Journal_Title :
Circuits, Devices & Systems, IET
Publisher :
iet
ISSN :
1751-858X
Type :
jour
DOI :
10.1049/iet-cds.2013.0466
Filename :
6978096
Link To Document :
بازگشت