Battery Usage Projection via Historical Data Analysis
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Solution Overview
Problem
Users of information handling devices face challenges in estimating the battery life of their devices when running specific applications, as existing technologies lack efficient methods to predict battery usage based on historical data and current power levels.
Innovation Solution
An apparatus and method that include a processor, memory, and display device to determine an expected battery usage rate of applications by analyzing historical data, calculating the estimated battery life, and displaying this information visually, allowing users to assess the battery life for individual or multiple applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If historical battery usage data is analyzed to predict battery life, then measurement precision of battery life estimation is improved, but device complexity increases due to data storage and processing requirements
Solution Approach 1:
The system performs preliminary actions by collecting and storing historical battery usage data before it is needed for estimation. The processor continuously monitors and records battery consumption patterns of various applications in advance, creating a database that can be quickly queried later without requiring complex real-time analysis, thus improving estimation accuracy while managing complexity.
Solution Approach 2:
The system creates simplified copies of battery usage patterns by analyzing historical data and generating representative models or averages of application power consumption. Instead of processing all raw historical data each time, the system uses these copied patterns to quickly estimate battery life, reducing computational complexity while maintaining measurement precision.
2Loss of information
If multiple applications' battery usage is calculated simultaneously, then information completeness is improved, but loss of time increases due to longer calculation duration
Solution Approach 1:
The system segments the battery life calculation by determining the expected battery usage rate for each individual application separately based on its historical data, rather than attempting to calculate all applications simultaneously. This allows the system to provide comprehensive information for multiple applications while keeping each calculation simple and fast, reducing overall computation time while maintaining information completeness.
Solution Approach 2:
The system performs preliminary calculations of battery usage rates for multiple applications in advance, storing these pre-computed values. When a user needs battery life information, the system retrieves these pre-calculated rates and combines them quickly, providing complete information for multiple applications without requiring time-consuming real-time calculations.
3Ease of operation
If visual representation of application battery usage is displayed, then ease of operation is improved, but device complexity increases due to additional display processing
Solution Approach 1:
The system uses color changes in the visual representation to convey battery life information efficiently. Different colors represent different battery life ranges or application types, allowing users to quickly understand complex battery usage data at a glance. This visual encoding simplifies the user interface while the underlying processing remains relatively simple, as it primarily involves mapping calculated values to color categories rather than complex graphical processing.
Data Source
AI summary
Apparatuses, methods, and program products are disclosed for projecting battery usage. By use of a processor, an expected battery usage rate of an application is determined. An estimated length of time a battery will power an apparatus if the application is executed is determined. The estimated length of time the battery will power the apparatus may be based on the expected battery usage rate of the application and a current remaining battery power. The estimated length of time together with a visual representation of the application is displayed.