Hiwave Scanning Acoustic Microscope for Lithium Battery in New Energy Vehicles
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source：Hiwave
time：2024-12-30
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The Significance of Acoustic Scanning Microscopy (ASM) in Lithium Battery Inspection
With the rapid growth of the elect……
The Significance of Acoustic Scanning Microscopy (ASM) in Lithium Battery Inspection
With the rapid growth of the electric vehicle (EV) market, there is an increasing demand for high-performance and highly safe lithium batteries. Acoustic Scanning Microscopy (ASM), as an advanced non-destructive testing technology, plays a critical role in evaluating and ensuring the quality and safety of lithium batteries.
Working Principle of Acoustic Scanning Microscopy
Acoustic Scanning Microscopy utilizes high-frequency ultrasound waves that penetrate materials and reflect back to the probe. When these waves encounter interfaces between different materials, they are reflected or refracted, allowing the creation of detailed images of internal structures based on changes in the signals. For lithium batteries, ASM can detect minute defects such as poor electrolyte wetting, voids between electrode layers, and gas accumulation during charging and discharging processes.
Case Study: Application of Hiwave Ultrasonic Equipment
In practical applications, cases using Hiwave ultrasonic equipment have demonstrated ASM’s effectiveness in identifying potential issues within lithium batteries. For instance, in one test, researchers used ASM to successfully detect localized insufficient electrolyte wetting in a batch of prismatic lithium batteries. This defect could lead to heat concentration during charging, affecting battery safety and longevity. By promptly adjusting the manufacturing process, manufacturers resolved this issue, significantly enhancing product reliability and safety.
Another case involved swelling in pouch-type lithium batteries due to internal gas accumulation caused by certain factors in the manufacturing process. ASM not only helped locate these problem areas but also revealed the specific locations and causes of gas generation, providing crucial reference information for design optimization.
