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Micro-Architectural Power Estimation and Optimization
Published in Louis Scheffer, Luciano Lavagno, Grant Martin, EDA for IC System Design, Verification, and Testing, 2018
Enrico Macii, Renu Mehra, Massimo Poncino
Historically, supply voltage scaling has been the most used approach to power optimization, since it normally yields considerable savings owing to the quadratic dependence of PSw on Vdd. The major shortcoming of this solution, however, is that lowering the supply voltage affects circuit speed. As a consequence, both design and technological solutions must be applied in order to compensate the decrease in circuit performance introduced by reduced voltage. In other words, speed optimization is applied first, followed by supply voltage scaling, which brings the design back to its original timing but with a lower power requirement.
Microarchitectural and System-Level Power Estimation and Optimization
Published in Luciano Lavagno, Igor L. Markov, Grant Martin, Louis K. Scheffer, Electronic Design Automation for IC System Design, Verification, and Testing, 2017
Enrico Macii, Renu Mehra, Massimo Poncino, Robert P. Dick
Historically, supply voltage scaling has been the most used approach to power optimization, since it normally yields considerable savings owing to the quadratic dependence of PSw on Vdd. The major shortcoming of this solution, however, is that lowering the supply voltage affects circuit speed. As a consequence, both design and technology solutions must compensate for reduced voltage. In other words, speed optimization is applied first, followed by supply voltage scaling, which brings the design back to its original timing but with a lower-power requirement.
CubeSat project: experience gained and design methodology adopted for a low-cost Electrical Power System
Published in Automatika, 2022
Kamel Djamel Eddine Kerrouche, Abderrahmane Seddjar, Nassima Khorchef, Sidi Ahmed Bendoukha, Lina Wang, Abdelkader Aoudeche
In the literature, some universal surveys on Nanosatellites/CubeSats have focused on mission characteristics, implemented technologies and overall success rates [2,3]. However, design methods and testing processes have rather been discussed to be useful for CubeSat university projects only. Therefore, the main contribution of this paper is to present suitable EPS design (components sizing and selection) and test procedures. The reliable PPT circuit is used based on the Maximum Power Point Tracking (MPPT) algorithm combined with Battery Charge Regulation (BCR) method, which is implemented in MicroController Unit (MCU) and a redundant analogue circuit. While, in case of MCU failure, the redundant MPPT and BCR, which is available in analogue Integrated Circuit (IC), is used for power optimization, charge regulator, and overvoltage protection of the battery.