An Automatically Peak-Shift Control Design for Charging and Discharging of the Battery in an Ultrabook

This new design uses a low power embedded controller (EC) in cooperation with the BIOS of a notebook (NB) computer, both to accomplish dynamic adjustment and to maintain a required performance level of the battery mode of the notebook. In order to extend the operation time at the battery mode, in general, the notebook computer will directly reduce the clock rate and then reduce the performance. This design can obtain the necessary balance of the performance and the power consumption by using both the EC and the BIOS cooperatively to implement the dynamic control of both the CPU and the GPU frequency to maintain the system performance at a sufficient level for a high speed and high resolution video game. In contrast, in order to maintain a certain notebook performance, in terms of battery life it will be necessary to make some trade-offs.

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“…3. The EC connects both to the south bridge, and to the BIOS, and controls the external devices [14]- [18].…”

Section: Hardware and Software Design Of A Gaming Notebookmentioning

confidence: 99%

Dynamic Performance Adjustment of CPU and GPU in a Gaming Notebook at the Battery Mode

Cheng

Bai

2019

IEICE Trans. Inf. & Syst.

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A Conceptual and Systematics for Intelligent Power Management System-Based Cloud Computing: Prospects, and Challenges

et al. 2021

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This review describes a cloud-based intelligent power management system that uses analytics as a control signal and processes balance achievement pointer, and describes operator acknowledgments that must be shared quickly, accurately, and safely. The current study aims to introduce a conceptual and systematic structure with three main components: demand power (direct current (DC)-device), power mix between renewable energy (RE) and other power sources, and a cloud-based power optimization intelligent system. These methods and techniques monitor demand power (DC-device), load, and power mix between RE and other power sources. Cloud-based power optimization intelligent systems lead to an optimal power distribution solution that reduces power consumption or costs. Data has been collected from reliable sources such as Science Direct, IEEE Xplore, Scopus, Web of Science, Google Scholar, and PubMed. The overall findings of these studies are visually explained in the proposed conceptual framework through the literature that are considered to be cloud computing based on storing and running the intelligent systems of power management and mixing.

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An Automatically Peak-Shift Control Design for Charging and Discharging of the Battery in an Ultrabook

Cited by 2 publications

References 31 publications

Dynamic Performance Adjustment of CPU and GPU in a Gaming Notebook at the Battery Mode

Dynamic Performance Adjustment of CPU and GPU in a Gaming Notebook at the Battery Mode

A Conceptual and Systematics for Intelligent Power Management System-Based Cloud Computing: Prospects, and Challenges

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