Battery Charge Time Estimation via Historical Data Analysis
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Solution Overview
Problem
Users of devices with rechargeable batteries face uncertainty in determining how long it will take to charge the battery to a sufficient level for use, especially when different charging technologies have varying rates, making it difficult to plan usage before needing to recharge again.
Innovation Solution
A method that receives power level information and historical usage data to determine a power level differential, rendering a notice on the device's display with an estimated charge time to achieve a sufficient power level for upcoming tasks, considering factors like charger type and usage patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the device displays current power level information, then users can see the battery charge status, but users still cannot determine how long it will take to charge to a sufficient level
Solution Approach 1:
The system performs preliminary calculations of charge time estimates before users need to recharge. By continuously monitoring current power level, charger type, and historical charging data, the system pre-computes and displays estimated charge times, enabling users to plan usage without needing to check complex power management details.
Solution Approach 2:
The system introduces an intermediary layer between the power management hardware and the user interface. This intermediary component translates complex charging parameters (voltage, current, charger type, battery capacity) into user-friendly charge time estimates, eliminating the need for users to understand the underlying power management complexity.
2Measurement precision
If the system tracks detailed historical charging data and usage patterns, then charge time estimates become more accurate, but the device complexity increases
Solution Approach 1:
The system tracks and stores historical charging data locally in the device memory rather than requiring continuous external processing. By maintaining a localized database of past charging sessions and usage patterns, the system achieves high estimation accuracy without the complexity of real-time external analysis, as the processed data remains stored within the device itself.
3Loss of information
If the device provides detailed charging information, then users can better plan usage, but the information overload increases
Solution Approach 1:
The system extracts only the most critical charging information that users need for planning - specifically, estimated charge times to reach sufficient power levels for upcoming tasks. By filtering out redundant technical details and presenting only actionable charge time estimates, the system eliminates information overload while maintaining useful charging guidance.
Data Source
AI summary
A method can include receiving power level information for a device that includes a rechargeable battery and a display; determining a power level differential based at least in part on the power level information and historical information of the device; and rendering a power level differential notice to the display.