Battery Capacity Prediction Across Temperature, Current, and Voltage Ranges
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Solution Overview
Problem
Existing battery technologies fail to accurately predict capacity decrease due to variations in temperature, current, and voltage, leading to reduced battery effectiveness and stability.
Innovation Solution
A battery capacity prediction apparatus and method that analyzes the battery capacity prediction apparatus predicts the battery capacity prediction apparatus and method that analyzes the battery capacity prediction apparatus and method that analyzes the battery capacity prediction apparatus and method predicts the battery capacity prediction apparatus and method that analyzes the battery capacity prediction apparatus and method predicts battery capacity decrease in various temperature, current, and voltage sections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If battery capacity prediction is performed without analyzing temperature, current, and voltage variations, then the prediction system is simpler, but the prediction accuracy and reliability deteriorate
Solution Approach 1:
The patent segments the battery operation into multiple sections based on temperature, current, and voltage ranges. Each section is analyzed separately to determine capacity decrease characteristics, allowing accurate prediction without requiring a single complex model to handle all conditions simultaneously.
Solution Approach 2:
The patent performs preliminary analysis of capacity decrease in each temperature-current-voltage section before making overall capacity predictions. By pre-characterizing the capacity decrease in each section, the system establishes a foundation for accurate prediction while maintaining manageable complexity through structured analysis.
2Reliability
If battery capacity prediction analyzes multiple parameters (temperature, current, voltage), then the prediction accuracy improves, but the computational complexity and data processing requirements increase
Solution Approach 1:
The patent divides the multi-parameter analysis into discrete temperature, current, and voltage sections. Each section is evaluated independently for capacity decrease characteristics, then combined to form the overall prediction. This segmentation reduces the complexity of processing multiple parameters simultaneously while maintaining comprehensive analysis.
Solution Approach 2:
The patent changes the approach from continuous multi-parameter analysis to discrete parameter sectioning. By defining specific temperature ranges, current levels, and voltage thresholds, the system transforms complex continuous parameter processing into manageable discrete sections, reducing computational complexity while preserving prediction reliability.
Data Source
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AI summary
A battery capacity prediction apparatus according to an embodiment disclosed herein includes an extraction unit configured to extract comparison data obtained by comparing a measured capacity of a battery with a reference capacity of the battery and extract capacity change data obtained by measuring a capacity change of the battery with respect to a cycle change of the battery and a controller configured to predict a capacity of the battery based on the comparison data and the capacity change data.