Battery Capacity Estimation Using Segmented Voltage Data Models
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Solution Overview
Problem
Existing battery capacity estimation methods struggle to accurately differentiate between easy-to-analyze and difficult-to-analyze data in battery cell logging data, leading to degraded accuracy in capacity estimation.
Innovation Solution
A battery capacity estimation apparatus and method that distinguishes between easy-to-analyze and difficult-to-analyze data by using a voltage measuring unit, a filtering unit, a statistical analyzing unit, and a capacity estimating unit to apply separate capacity estimation models to each data type.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single capacity estimation model is applied to all battery cell logging data, then the device complexity is reduced, but the measurement precision and accuracy of capacity estimation deteriorates due to inability to differentiate between easy-to-analyze and difficult-to-analyze data
Solution Approach 1:
The patent segments battery cell logging data into two distinct categories: easy-to-analyze data and difficult-to-analyze data, based on data characteristics such as voltage stability and logging patterns. Separate capacity estimation models are then developed and applied to each data type, allowing each model to be optimized for its specific data characteristics, thereby improving overall estimation accuracy without requiring a single overly complex model to handle all data types
2Measurement precision
If data is not differentiated and analyzed uniformly, then the ease of operation is improved, but the measurement precision of capacity estimation deteriorates
Solution Approach 1:
The patent implements preliminary classification of battery cell logging data into easy-to-analyze and difficult-to-analyze categories before applying estimation models. This preliminary action involves evaluating data characteristics such as voltage stability and logging patterns to categorize data appropriately, enabling subsequent models to be applied more effectively and improving overall estimation accuracy
3Measurement precision
If separate models are applied to different data types, then the measurement precision is improved, but the device complexity and analysis time increase
Solution Approach 1:
The patent segments data into distinct categories and applies specialized models to each segment, which improves accuracy by matching model complexity to data characteristics. The segmentation approach allows computationally intensive models to be applied only where necessary rather than uniformly across all data, optimizing the balance between accuracy and computational efficiency
Data Source
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AI summary
Provided is 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.