Battery Charging Control Using Predicted Resume Timing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing battery charging methods do not effectively manage battery state of charge to prolong battery life and performance, as holding a battery at high charge levels for extended periods can degrade its health.
Innovation Solution
A method that estimates a usage time value and a resume time value to control charging, where the battery is charged to a first predetermined state of charge, held at that level for a period, and then resumed to full charge just before anticipated use, using a charging system that includes a host device, wireless headphone device, and charging case, with communication protocols for optimized charging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the battery is charged to high state of charge levels and held there for extended periods, then the battery capacity is maximized for immediate use, but the battery life and health deteriorate
Solution Approach 1:
The system performs preliminary charging to a first predetermined state of charge (e.g., 80%) and holds the battery at this level until a predicted usage time is approached. This preliminary action avoids prolonged exposure to high charge levels while ensuring the battery is ready for use, thereby extending battery life without sacrificing immediate availability.
Solution Approach 2:
The charging strategy dynamically adjusts based on predicted usage patterns. The system transitions from a static charging approach (charging to 100% and holding) to a dynamic approach where the target charge level and timing are continuously optimized based on machine learning predictions of when the device will be next used, resolving the contradiction between having full charge and preserving battery health.
2Ease of operation
If the battery is charged to full capacity in advance, then the device is ready for immediate use, but energy is wasted charging beyond what is needed
Solution Approach 1:
The system incorporates feedback loops where machine learning models analyze usage patterns, connection history, and charging behavior to continuously refine predictions of when the device will be next used. This feedback mechanism enables the system to optimize charging timing and levels, ensuring the battery is charged to the minimum necessary level for upcoming usage, thereby reducing energy waste while maintaining device readiness.
Solution Approach 2:
The system changes the parameters of charging (target state of charge, charging rate, timing) based on predicted usage patterns. Instead of always charging to 100%, the system adjusts the target charge level dynamically, charging to lower levels when full capacity is not needed and extending the hold period, thereby reducing energy waste while ensuring adequate charge for predicted usage scenarios.
3Reliability
If the battery is held at intermediate charge levels for extended periods, then battery life is extended, but the device may not be fully charged when needed
Solution Approach 1:
The system performs preliminary charging to an optimal intermediate state of charge level (e.g., 80%) well in advance of predicted usage, then holds the battery at this level. This preliminary action ensures the battery is charged to a sufficient level for upcoming usage while avoiding the harmful effects of prolonged exposure to 100% charge, thereby extending battery life without compromising device readiness.
Solution Approach 2:
The system dynamically adjusts the hold duration and target charge level based on real-time predictions of usage patterns. As the predicted usage time approaches, the system may extend the hold period at intermediate charge levels or initiate final charging to full capacity, ensuring the battery is optimally charged for upcoming usage while minimizing time spent at high charge levels that would degrade battery health.
Data Source
AI summary
A method of controlling charging of an electronic device includes estimating a usage time value that corresponds to an anticipated future occurrence of usage of the electronic device; and estimating a resume time value that corresponds to a time for charging to commence to allow for completion of charging from a first predetermined state of charge value to a second predetermined state of charge value by the usage time value. The method also includes charging a battery of the electronic device using electrical power supplied by a charging device until a current state of charge of the battery reaches the first predetermined state of charge value, entering, by the electronic device, a deactivated mode after the current state of charge reaches the first predetermined state of charge value, and causing the electronic device to return to the activated mode according to the resume time value.