Battery SOC Pulse Extraction for Fine-Grained Deterioration Estimation
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Solution Overview
Problem
Conventional technologies have low estimation accuracy for battery deterioration conditions and energy efficiency due to coarse division of waveforms representing state of charge (SOC) in batteries.
Innovation Solution
A pulse extraction device and method that finely divides time series data of battery charge amounts into segments, extracts pulses based on change points, and calculates characteristic values such as current, change in charge amount, and median values to improve estimation accuracy and energy efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional waveform division methods are used, then the processing is simple, but the estimation accuracy of battery deterioration conditions is low
Solution Approach 1:
The patent divides the charge amount waveform into multiple segments based on reference values, and further divides each segment into sub-segments. This segmentation approach enables fine-grained analysis of battery charge/discharge patterns, significantly improving deterioration estimation accuracy by capturing subtle waveform characteristics that conventional methods miss.
2Measurement precision
If coarse waveform division is used, then the processing is fast, but the energy efficiency calculation is inaccurate
Solution Approach 1:
The waveform is divided into segments and sub-segments, allowing precise calculation of charge amounts and energy efficiency for each segment. This enables accurate tracking of battery characteristics over different charge/discharge phases, improving energy efficiency measurement while maintaining reasonable processing throughput.
Solution Approach 2:
The patent pre-calculates and stores reference values and segment boundaries before actual analysis. This preliminary preparation reduces real-time processing complexity, enabling fast execution of the detailed segmented analysis without excessive computational overhead during operation.
3Manufacturing precision
If fine division of SOC waveform is implemented, then the battery characteristic calculation is accurate, but the processing complexity increases
Solution Approach 1:
The patent implements a hierarchical segmentation structure where the overall waveform is divided into segments, and each segment is further divided into sub-segments. This multi-level segmentation enables precise battery characteristic calculation by analyzing local waveform patterns, while the systematic structure manages processing complexity through organized data hierarchy.
Solution Approach 2:
Different segments and sub-segments are analyzed with locally optimized parameters and reference values tailored to specific charge/discharge phases. This local quality approach allows precise characteristic extraction for each segment while reducing overall complexity by avoiding uniform high-resolution analysis across the entire waveform.
Data Source
AI summary
A pulse extraction device that can finely divide a waveform representing the charge amount (SOC) is provided. A pulse extraction device includes a pulse extraction part configured to extract a pulse based on a change point at which an increase or decrease changes in time series data of a charge amount of a secondary battery.