17819771. ENERGY BASED TASK SHIFTING simplified abstract (Apple Inc.)
Contents
ENERGY BASED TASK SHIFTING
Organization Name
Inventor(s)
Cyril De La Cropte De Chanterac of San Francisco CA (US)
Lawrence A. Cayton of Seattle WA (US)
Brian C. Beer of San Francisco CA (US)
Shardul S. Mangade of Santa Clara CA (US)
Farman A. Syed of San Jose CA (US)
Andrea R. Romano of San Francisco CA (US)
ENERGY BASED TASK SHIFTING - A simplified explanation of the abstract
This abstract first appeared for US patent application 17819771 titled 'ENERGY BASED TASK SHIFTING
Simplified Explanation
The abstract describes an electronic device that can detect when an external power source is connected, estimate when it will be disconnected, analyze power grid data to identify desired and undesired background processing intervals before disconnection, and adjust background processing accordingly.
- Electronic device detects connection of external power source
- Estimates disconnection time
- Analyzes power grid data to identify desired and undesired background processing intervals
- Performs background processing during desired intervals and inhibits processing during undesired intervals
- Uses machine learning model to determine estimated disconnection time
- Inhibits background processing by reducing amount or preventing it during undesired intervals
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- Potential Applications
- Smartphones - Laptops - Tablets - IoT devices
- Problems Solved
- Prevents unnecessary background processing when external power source is about to be disconnected - Optimizes battery charging intervals for efficient use of power
- Benefits
- Prolongs battery life - Improves energy efficiency - Enhances user experience by reducing interruptions due to background processing
Original Abstract Submitted
An electronic device can include a processor programmed to detect connection of an external power source to the electronic device, determine an estimated disconnection time at which the external power source is expected to be disconnected from the electronic device, analyze power grid data corresponding to the external power source to identify one or more desired background processing intervals and one or more undesired background processing intervals prior to the estimated disconnection time, and perform background processing during the identified one or more desired battery charging intervals and inhibit background processing during the one or more undesired battery charging intervals. The processor can be programmed to determine an estimated disconnection time using a machine learning model. The processor can be programmed to inhibit background processing by reducing the amount of background processing during certain undesired background processing intervals or by preventing background processing during certain undesired background processing intervals.
