18173536. SELECTIVELY THROTTLING SUBSYSTEMS OF BATTERY-POWERED COMPUTING DEVICES simplified abstract (Microsoft Technology Licensing, LLC)

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SELECTIVELY THROTTLING SUBSYSTEMS OF BATTERY-POWERED COMPUTING DEVICES

Organization Name

Microsoft Technology Licensing, LLC

Inventor(s)

Donghwi Kim of Kirkland WA (US)

Gregory Allen Nielsen of Kirkland WA (US)

SELECTIVELY THROTTLING SUBSYSTEMS OF BATTERY-POWERED COMPUTING DEVICES - A simplified explanation of the abstract

This abstract first appeared for US patent application 18173536 titled 'SELECTIVELY THROTTLING SUBSYSTEMS OF BATTERY-POWERED COMPUTING DEVICES

Simplified Explanation: The patent application describes a method for selectively throttling subsystems of a battery-powered computing device based on power consumption levels.

  • The method involves determining the power consumed by a plurality of rest-of-platform (ROP) subsystems and the total power consumed by all subsystems of the device.
  • When the power consumed by the ROP subsystems exceeds a threshold and the total power consumed increases above a certain level, specific ROP subsystems are throttled to manage power usage.

Key Features and Innovation:

  • Selective throttling of subsystems based on power consumption levels.
  • Management of power usage to optimize battery life and device performance.

Potential Applications: This technology can be applied in various battery-powered computing devices such as smartphones, laptops, tablets, and IoT devices.

Problems Solved:

  • Efficient power management in battery-powered devices.
  • Prevention of excessive power consumption by subsystems.

Benefits:

  • Prolonged battery life.
  • Improved device performance.
  • Enhanced user experience.

Commercial Applications: This technology can be utilized in the development of energy-efficient consumer electronics, leading to cost savings for manufacturers and improved user satisfaction.

Prior Art: Prior research may exist in the field of power management for computing devices, particularly in the context of optimizing battery usage.

Frequently Updated Research: Ongoing research in power management algorithms and techniques for battery-powered devices may provide further insights into enhancing the efficiency of this technology.

Questions about Battery-Powered Computing Devices: 1. How does selective throttling of subsystems impact overall device performance? 2. What are the potential long-term effects of frequent power management adjustments on battery health?


Original Abstract Submitted

A method is presented for selectively throttling subsystems of a battery-powered computing device. The method comprises determining an amount of power consumed a plurality of rest-of-platform (ROP) subsystems of the battery-powered computing device. A total amount of power consumed by subsystems of a battery-powered computing device is determined. The subsystems including at least a system on a chip (SOC) and the plurality of ROP subsystems. Responsive to recognizing a condition where the amount of power consumed by the plurality of ROP subsystems is above an ROP power threshold, and where the total amount of power consumed increases above a first throttling threshold, one or more ROP subsystems are throttled.

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