Battery Runtime Prediction Using Remaining Energy and Total Power
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Solution Overview
Problem
Existing methods for predicting the remaining use duration of electronic devices are inaccurate due to changes in discharge current, leading to reduced user experience.
Innovation Solution
The method involves determining the current remaining energy and total power consumption of the electronic device in a specific use scene, using this information to predict the remaining use duration, and displaying it through a display icon.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional methods are used to predict remaining use duration, then the prediction can be obtained, but the accuracy is low due to changes in discharge current
Solution Approach 1:
The patent changes the prediction parameters from using discharge current to using remaining energy and total power consumption. Specifically, it calculates remaining energy based on battery capacity and state of charge, and uses total power consumption including screen, CPU, and other components, thereby improving prediction accuracy under varying discharge conditions
Solution Approach 2:
The system continuously monitors battery state information and power consumption data, updates the remaining energy and total power consumption in real-time, and adjusts the remaining use duration prediction dynamically, providing continuous feedback to maintain accurate predictions throughout battery discharge
Data Source
AI summary
A method for predicting a remaining use duration of an electronic device is provided. The method includes: determining a current remaining energy of a battery based on state information of the battery in a current use scene; determining a current total power consumption of the electronic device in the current use scene; predicting the remaining use duration based on the current remaining energy and the current total power consumption; and displaying the remaining use duration through a display icon.