Battery Wetting Detection Using 3D Neutron Tomography
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Solution Overview
Problem
Existing battery wetting state detection methods are inefficient and potentially destructive, leading to inaccurate assessments of electrolyte distribution and increased production costs, which can result in lithium precipitation and safety hazards due to inadequate wetting.
Innovation Solution
A battery wetting state detection method using neutron imaging to obtain three-dimensional tomographic images, allowing for accurate determination of electrolyte distribution by reacting with light elements like hydrogen and lithium, and incorporating charge-discharge cycling to simulate real-world conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional detection methods are used for battery wetting state, then the detection process is simple, but the detection accuracy is low and cannot reliably identify inadequate wetting
Solution Approach 1:
The patent introduces neutron imaging technology as an intermediary detection method. Neutrons serve as the mediator that can penetrate the battery structure and interact with light elements (hydrogen, lithium) in the electrolyte, enabling accurate visualization of wetting states without direct contact or disruption to the battery system.
Solution Approach 2:
The patent replaces traditional mechanical or electrical detection methods with neutron imaging technology. Instead of using physical probes or electrical measurements that may damage or disrupt the battery, neutron imaging provides a non-contact, non-intrusive detection approach that maintains battery integrity while achieving high measurement precision.
2Measurement precision
If neutron imaging is used to obtain three-dimensional tomographic images, then the wetting state detection accuracy is improved, but the detection time and complexity increase
Solution Approach 1:
The patent performs preliminary actions by capturing multiple two-dimensional tomographic images at different orientations before reconstructing the final three-dimensional image. This staged approach allows for systematic data collection and processing, improving the quality and accuracy of the final wetting state visualization while managing the complexity of the detection process.
3Measurement precision
If multiple two-dimensional tomographic images are captured and fused, then the detection accuracy is improved, but the processing complexity and time increase
Solution Approach 1:
The patent segments the three-dimensional imaging process into multiple two-dimensional tomographic image captures at different orientations. Each two-dimensional image represents a specific cross-section or view of the battery, and these segmented views are subsequently fused to reconstruct the complete three-dimensional wetting state, improving both accuracy and processing efficiency.
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 precise detection of electrolyte wetting states, reducing production costs and preventing safety issues by identifying unqualified wetting early in the battery's life cycle.
Implementation Method 1
neutrons without electricity can pass through an electron layer to react with light elements such as hydrogen (H) and lithium (Li), and all regions inside the battery that are wet by electrolyte react with neutrons, which makes it possible to implement the electrolyte wetting state distribution test through neutron imaging
Data Source
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AI summary
This application provides a battery wetting state detection method and apparatus, a device, a system, and a medium and pertains to the field of battery technologies. The detection method includes: obtaining a three-dimensional tomographic image of a battery through neutron imaging; and determining a wetting state of the battery based on the three-dimensional tomographic image. Neutrons without electricity can pass through an electron layer to react with light elements such as H and Li. All regions inside the battery that are wet by electrolyte react with neutrons, facilitating implementation of the electrolyte wetting state distribution test through neutron imaging, and thus detecting the wetting state of the battery.