Battery Electrolyte Leakage Detection Using Dual-Light Spectral Imaging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing battery electrolyte leakage detection methods are inefficient in accurately detecting electrolyte adherence on diverse battery types and sizes, as they are not designed to handle multiple types of batteries simultaneously.
Innovation Solution
The system employs a dual-lighting approach, where a first light determines battery type data, and a second light, tailored to the specific battery type, is used to acquire spectral image data for accurate electrolyte detection, incorporating adjustable wavelengths and angles to accommodate various battery materials and sizes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single detector is used to inspect all battery types, then the device complexity is reduced, but the measurement precision deteriorates because different battery types require different inspection parameters
Solution Approach 1:
The patent implements a single detector that can inspect multiple battery types by dynamically changing inspection parameters (wavelength, exposure time, gain) based on battery type identification, making the detector universal rather than requiring separate detectors for each battery type
Solution Approach 2:
The system dynamically adjusts inspection parameters including wavelength, exposure time, and gain based on the identified battery type, transforming a static single-detector system into a dynamic multi-functional inspection system that adapts to different battery characteristics
2Measurement precision
If battery type is determined first using first light, then electrolyte detection can be optimized for each type, but the inspection time increases due to sequential processing
Solution Approach 1:
The system performs preliminary battery type identification using first light before executing the optimized electrolyte detection with second light, preparing the appropriate inspection parameters in advance to avoid time-consuming adjustments during the actual detection process
Solution Approach 2:
The patent combines battery type identification and electrolyte detection into a single integrated inspection flow, where the type determination results directly guide the detection parameters, merging what could be separate processes into one efficient sequence
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 enables efficient and accurate detection of electrolyte leakage across multiple battery types and sizes, even when mixed, by using tailored lighting conditions for each battery type, improving detection accuracy and adaptability.
Implementation Method 1
a first irradiation unit that irradiates a first surface of a battery with a first light
Implementation Method 2
a second acquisition unit that acquires spectral image data obtained by taking an image of the first surface of the battery irradiated with the second light
Data Source
AI summary
There is provide an electrolyte leakage detection system for a battery and an electrolyte leakage detection method for a battery allowing efficiently detecting an electrolyte with accuracy even when a plurality of types of batteries are mixed. An electrolyte leakage detection system for a battery includes a first irradiation unit that irradiates a first surface of a battery with a first light for determining battery data on a type of a battery, a first acquisition unit that acquires image data obtained by taking an image of the first surface of the battery irradiated with the first light, a battery data determination unit that determines the battery data based on the image data, a second irradiation unit that irradiates the first surface of the battery with a second light for detecting an electrolyte adhered to the battery corresponding to the battery data, a second acquisition unit that acquires spectral image data obtained by taking an image of the first surface of the battery irradiated with the second light, and a detection unit that detects the electrolyte based on the spectral image data.