Hyperspectral Battery Leak Detection for Electrolyte-Cleaner Separation
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Solution Overview
Problem
Existing methods for inspecting rechargeable batteries for leakage electrolyte solution errors are prone to inaccuracies due to the similarity in components between the electrolyte solution and cleaning solutions.
Innovation Solution
A hyperspectral imaging device is used to acquire images of rechargeable batteries, with an image extractor identifying bands related to the characteristic wavelength of the electrolyte solution and a determination unit analyzing these images to accurately detect leakage electrolyte solutions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual inspection using region scan camera is used to detect leakage electrolyte solution, then inspection speed is maintained, but measurement precision deteriorates due to similarity between electrolyte solution and cleaning solution components
Solution Approach 1:
The patent applies parameter changes by transitioning from visual inspection parameters (color, appearance) to spectral parameters (absorption characteristics at specific wavelengths). The hyperspectral imaging device captures reflectance spectra across multiple wavelengths, and the determination unit analyzes absorption characteristics at characteristic wavelengths of the electrolyte solution, enabling accurate differentiation between electrolyte solution and cleaning solution based on their distinct spectral signatures.
Solution Approach 2:
The patent introduces spectral analysis as an intermediary between the inspection target and the detection system. Instead of directly observing the liquid through visual inspection, the system uses hyperspectral imaging to capture reflectance spectra, which serve as an intermediary representation. The determination unit then analyzes these spectral intermediaries to identify the electrolyte solution, effectively mediating the detection process through spectral characteristics.
2Measurement precision
If hyperspectral imaging device is used to accurately distinguish electrolyte solution from cleaning solution, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent applies the taking out principle by extracting only the essential spectral information needed for detection. The image extractor isolates the characteristic wavelength bands corresponding to the electrolyte solution's absorption peaks from the full hyperspectral data cube. The determination unit then focuses analysis only on these extracted characteristic bands, discarding redundant spectral information. This extraction approach maintains high detection accuracy while reducing computational complexity and improving processing speed.
Solution Approach 2:
The patent applies partial action by performing spectral analysis only at specific characteristic wavelengths rather than analyzing the entire spectral range. The determination unit identifies the electrolyte solution by examining absorption characteristics at predetermined wavelength bands where the electrolyte solution exhibits distinctive absorption features. This partial spectral analysis achieves accurate detection without the computational burden of processing all spectral data, thereby maintaining productivity.
3Measurement precision
If secondary differentiation and coefficient calculation are performed to distinguish cleaning solution from electrolyte solution, then measurement precision is improved, but loss of time increases due to additional processing steps
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing reference absorption characteristics of both electrolyte solution and cleaning solution at characteristic wavelengths. The determination unit compares the measured spectral data against these pre-established references using secondary differentiation and coefficient calculation. This preliminary preparation of reference data enables rapid comparison and decision-making during actual inspection, reducing processing time while maintaining high detection accuracy through the use of predetermined threshold values.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method allows for quick and accurate detection of leakage electrolyte solutions, reducing inspection errors and enhancing the production efficiency of rechargeable batteries.
Implementation Method 1
an optical unit that collects reflected light by scanning a rechargeable battery on which the electrolyte solution injection process has been completed
Implementation Method 2
a dispersive element that disperses light processed by the optical unit
Implementation Method 3
an image sensor that converts the light dispersed by the dispersive element into an electric signal
Data Source
AI summary
A leakage electrolyte solution detection device includes a hyperspectral imaging device, an image extractor, and a determination unit. The hyperspectral imaging device includes an optical unit that collects reflected light by scanning a rechargeable battery on which the electrolyte solution injection process has been completed, a dispersive element that disperses light processed by the optical unit, and an image sensor that converts the light dispersed by the dispersive element into an electric signal, and acquires a hyperspectral image of a rechargeable battery. The image extractor extracts an image of a band related to a characteristic wavelength of an electrolyte solution from the hyperspectral image. The determination unit determines a presence or absence of a leakage electrolyte solution by analyzing the image extracted by the image extractor.