Secondary Battery Analysis via Color Imaging and Electrical Data Linkage
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Solution Overview
Problem
Current methods for evaluating secondary battery performance, such as voltage change detection and AC impedance measurement, fail to assess non-uniformity of electrochemical reactions within the battery and require large equipment for X-ray diffraction, limiting the ability to observe local changes and develop new battery materials effectively.
Innovation Solution
An analysis apparatus and method using a color image pickup device to capture and process time-series color images of secondary battery active material layers during charging and discharging, linking electrical and image data to provide comprehensive analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If electrical methods (voltage change detection, AC impedance measurement) are used to evaluate battery performance, then the evaluation can be performed with simple equipment, but the non-uniformity of electrochemical reaction within the battery and local reaction rate distribution cannot be evaluated
Solution Approach 1:
The patent divides the battery evaluation into two complementary approaches: (1) electrical measurement methods for overall battery characteristics, and (2) optical imaging methods for local spatial distribution. By segmenting the evaluation into global and local components, the system achieves both equipment simplicity and local measurement capability.
Solution Approach 2:
The patent merges electrical measurement techniques with optical imaging techniques into a unified evaluation system. The electrical measurements provide overall battery state information while optical images provide local spatial distribution, and both datasets are integrated to achieve comprehensive battery evaluation with both simplicity and precision.
2Measurement precision
If X-ray diffraction measurement is used to evaluate cathode active material, then the evaluation precision can be improved, but the device size increases due to requiring powerful X-ray production equipment
Solution Approach 1:
The patent replaces the mechanical X-ray diffraction system with an optical imaging system. Instead of using powerful X-ray equipment to evaluate cathode active material, the system uses optical images captured during charging and discharging to infer material state and reaction distribution, thereby achieving similar evaluation precision with dramatically reduced device size.
Solution Approach 2:
The patent introduces optical imaging as an intermediary method between direct material analysis (X-ray) and electrical measurement. The optical images serve as a mediator that provides indirect but informative data about material state and reaction progress without requiring complex X-ray equipment.
3Device complexity
If only electrical evaluation methods are used, then the analysis can be performed with simple equipment, but the distribution state of Li in cathode and anode active materials cannot be recognized
Solution Approach 1:
The patent utilizes color changes in optical images during charging and discharging as indicators of Li distribution state. Different colors correspond to different Li concentrations in cathode and anode active materials, allowing visual recognition of Li distribution without complex equipment. The color information is extracted and analyzed to infer material state and reaction progress.
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
Enables the output of various types of analysis data, including local reaction rate distributions and charge level distributions, facilitating the development of new battery materials by visually and quantitatively assessing battery state changes.
Implementation Method 1
a color image pickup device that projects illumination light toward the secondary battery through the observation window, captures a color image of an active material layer
Data Source
AI summary
Provided are an analysis apparatus and an analysis method which are capable of recognizing a local state change of an internal structure of a secondary battery. The analysis apparatus includes: an observation cell that houses a secondary battery; a charging and discharging controller that controls charging and discharging of the secondary battery; an image pickup device that captures color images of the secondary battery at a predetermined time interval; and a charging and discharging data detection unit that acquires charging and discharging data on the secondary battery during charging and discharging. Color image signals output from the image pickup device and charging and discharging data signals output from the charging and discharging data detection unit are supplied to a signal processing device. The signal processing device outputs a unit that temporally links time-series color image signals and time-series charging and discharging data signals, and designated analysis data.