While traditionally used in semiconductors, wire bonding has seen recent wider adoption in battery manufacturing where cylindrical battery cells are used and for applications requiring high reliability and performance, such as in EVs. Wire bonding creates strong and reliable connections between battery cells, modules, and components within a battery back such as the Battery Management System (BMS). This application focuses on inspecting BMS’s for wire bond defects.
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Despite its advantages, wire bonds are susceptible to several potential defects that can impact a battery pack’s performance, reliability, and safety such as:
These defects have significant downstream consequences. Implementing robust inspection practices and quality control measures are crucial for mitigating these risks and ensuring the production of reliable and safe lithium-ion battery packs.
But wire bond defects are challenging to detect– they can be subtle, complex, and variable in type and location. Traditional machine vision requires programming hundreds of hand-crafted rules and fail to detect new or variable defects that don’t match their programmed parameters. Wire bond materials are reflective, making defects hard to see. Both manual inspectors and traditional machine vision systems can fail to distinguish between reflective surfaces and actual defects, causing both false positives and escapes.
UnitX’s AI-powered inspection effectively detects wire bond defects where other solutions fail.
First, the OptiX imaging system illuminates and images wire bonds. Then, the CorteX Central AI platform is trained on wire bonding defects. Lastly, those AI models are deployed to the CorteX Edge inference system to detect and classify defects in-line.
OptiX provides superior images that minimize reflectivity while maximizing defect visibility. It has 32 independently controllable lighting sources that can be optimized for wire bond surfaces and various defects via software. Its computational imaging capability can be used to take multiple shots and eliminate hotspots caused by highly reflective wire bond surfaces. And its lighting dome design supports a very acute incidence angle of projected light, causing even very tiny defects to cast shadows which increase their visibility.
CorteX accurately detects random, complex defects. It automatically normalizes for variability in positions and orientations and recognizes defects down to the pixel-level.
UnitX supports fast experimentation and adapts to changes in production environments. OptiX lighting is easily configured via software and CorteX AI models are sample efficient– they only require a few images to train on new defect types.
UnitX provides rapid, 100% inline inspection. OptiX has bright LEDs and fast fly capture speeds of 1m/s for high speed imaging. And CorteX Edge supports high inference speeds (up to 100 MP) to quickly output an OK/NG decision, seamlessly communicating that decision via integration to all major PLC, MES, and FTP systems.
With UnitX, manufacturers prevent wire bond defects and avoid battery failures, safety hazards, and costly recalls as a result. They automate inspection at the speed of their production to increase lithium ion battery throughput and yield.
