Mobile Device Charging Time Prediction via Non-Linear Equation
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Solution Overview
Problem
Conventional charging methods for mobile devices only provide approximate indications of the remaining charge percentage, lacking accuracy in displaying the remaining charging time.
Innovation Solution
A method and system that utilize a non-linear equation generated from history charging data to accurately calculate and display the remaining charging time by fitting charge percentage and charging time variables, allowing for precise estimation of charging completion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional charging indication methods are used (displaying charge percentage via shadow proportion), then the device complexity is low, but the measurement precision of remaining charging time is poor
Solution Approach 1:
The system pre-collects charging data during normal charging operations and stores it for later analysis. This preliminary data accumulation enables the subsequent generation of accurate non-linear equations that predict remaining charging time, resolving the contradiction by preparing information in advance rather than calculating it in real-time during charging.
Solution Approach 2:
The patent accumulates charging data over multiple charging cycles before generating prediction equations. This data buffering approach cushions the system against the need for complex real-time calculations, allowing accurate predictions to be made using pre-processed information rather than requiring complex instantaneous analysis.
2Measurement precision
If accurate remaining charging time calculation is implemented using non-linear equations, then the measurement precision improves, but the ease of operation deteriorates
Solution Approach 1:
The system creates a simplified copy or representation of the complex non-linear charging process through the fitted equation. Instead of presenting raw complex data or requiring users to understand complex calculations, the system uses the equation to generate a simple, accurate remaining time value that is easy for users to comprehend while maintaining high precision.
3Measurement precision
If history charging data is collected and fitted to generate non-linear equations, then the measurement precision of remaining charging time improves, but the loss of time for data processing increases
Solution Approach 1:
Charging data is collected continuously during normal charging operations without interrupting the charging process. This preliminary data collection occurs in the background, so when prediction is needed, the data is already available, minimizing any additional time loss.
Solution Approach 2:
The data collection process runs continuously during charging operations, transforming what would be idle data gathering into a continuous useful action that occurs simultaneously with the charging process itself. This eliminates separate data collection phases and reduces overall time loss.
Data Source
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AI summary
A method and system of performing charging processing for a mobile device is disclosed. The method includes: obtaining a non-linear equation related to a charging time variable and a charge percentage variable, and obtaining a current charge percentage; calculating remaining charging time according to the current charge percentage and the non-linear equation; and displaying the remaining charging time. By the solution of the present invention, the remaining charging time of the mobile device can be displayed accurately.