Battery Capacity Estimation Using Segmented Voltage Logging Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The challenge in accurately estimating battery capacity lies in distinguishing between easy-to-analyze and hard-to-analyze data within logging data, which often results in degraded analysis accuracy due to combined data usage in existing methods.
Innovation Solution
A battery capacity estimation apparatus and method that separates data into easy-to-analyze and hard-to-analyze categories using a voltage measuring unit, filtering unit, and statistical analyzing unit, applying distinct capacity estimation models to each type of data for precise capacity estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If combined data analysis is used for all logging data, then the analysis process is simple, but the prediction accuracy is degraded
Solution Approach 1:
The patent divides logging data into two distinct segments: easy-to-analyze data (first data) and hard-to-analyze data (second data). This segmentation allows each type of data to be processed by appropriately tailored analysis methods, improving overall accuracy while maintaining reasonable complexity. The filtering unit separates these data types based on their characteristics, enabling targeted analysis strategies for each segment.
2Measurement precision
If separate models are applied to different data types, then the capacity estimation accuracy is improved, but the system complexity increases
Solution Approach 1:
The patent implements local quality by applying different analysis methods and models to different data types. First data (easy-to-analyze) and second data (hard-to-analyze) each receive customized processing approaches. This allows the system to optimize accuracy for each data type without requiring complete system redesign, as each segment can be independently optimized with appropriate complexity.
Solution Approach 2:
The filtering unit serves as an intermediary component that separates incoming logging data into first data and second data categories. This intermediary structure enables the subsequent application of different analysis models without requiring direct complex interactions between multiple processing paths, thereby managing system complexity through modular architecture.
3Productivity
If all logging data is processed uniformly, then the processing efficiency is maintained, but the analysis accuracy is degraded due to mixed data characteristics
Solution Approach 1:
By segmenting logging data into first data and second data categories, the system can apply efficient processing methods appropriate to each type. This segmentation prevents the degradation of analysis accuracy that would result from uniform processing, while maintaining overall processing efficiency through specialized handling of each data segment rather than requiring exhaustive analysis of all data types with the same method.
Data Source
AI summary
A battery capacity estimation apparatus including a voltage measuring unit measuring a voltage of a battery cell, a filtering unit determining voltage data as first data when a logging pattern of the voltage data of the battery cell deviates from a preset reference range, a statistical analyzing unit determining second data through statistical analysis on the voltage data of the battery cell, and a capacity estimating unit estimating a capacity by applying data, classified by the filtering unit or the statistical analyzing unit for a battery cell that is a measurement target, to capacity estimation models generated separately for the first data and the second data.