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EV Battery and Motor Manufacturing Solutions

The rapid growth of electric vehicles (EVs) is putting immense pressure on manufacturers and suppliers to meet higher standards, improve efficiency, and reduce scrap rates. However, any lapse in quality could lead to costly recalls, safety risks, or damage to a company’s reputation. Machine vision systems are essential to streamlining operations and improving inspection capabilities. AI and robust imaging technology are enhancing these abilities, helping EV companies address new challenges. 

Powerful image formation for thorough defect detection

Whether you’re finding flaws in matte-black electrode slurry or scratches on a battery surface during final inspection, capturing a clear image is essential for EV battery inspections. Cognex uses robust hardware and software to minimize glare and maximize contrast in the most challenging environments.  

Solutions like the Trevista CI Dome reduce inspection times by illuminating a part from multiple angles to get topographical information. Advanced imaging tech like high-dynamic range plus (HDR+), combined with powerful optics, reduces glare, enabling machine vision systems to capture clear images on reflective, curved surfaces. 

Trevista computational lighting dome over an EV battery pouch cell
Cognex AI distinguishes acceptable variation from true defects

Separate scrap from suitable parts with AI 

In EV manufacturing, the difference between an acceptable blemish and a faulty part can be a few microns. Cognex machine vision systems use AI-powered defect detection and classification tools to separate subtle flaws from tolerable variations. By analyzing annotated “good” and “bad” images, Cognex solutions learn to differentiate between cosmetic and functional flaws, reducing scrap rates while still catching the real errors. Since the technology learns by example, it’s easy to adapt to new variables and types of defects. 

True 3D solutions for accurate measurement and gauging 

Using advanced 3D imaging technology, Cognex systems can accurately measure critical dimensions and guide parts into place. 3D solutions use high-powered speckle-free lasers to maximize image contrast and quickly scan parts for greater throughput. Using advanced AI and 3D imaging technology, Cognex solutions identify subtle and variable features and measure variances against defined tolerances. With each use, the embedded AI learns and adapts, improving its ability to catch even previously unseen flaws to ensure continuous improvement and operational efficiency. 

Computer screen showing 3D inspection of EV battery module caps
Christoph Hildebrandt, Manager of Machine Vision and Non-Destructive Testing, Schaeffler SMB
Schaeffler

"With Cognex, it's possible to detect small scratches or dents. A dent is typically 5 microns in depth.”

Christoph Hildebrandt

Manager of Machine Vision and Non-Destructive Testing, Schaeffler SMB

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See Why Leading Brands Choose Cognex

Cognex vision system at BorgWarner

How BorgWarner Improves EV Power Drive Assembly with Cognex Machine Vision Systems

Increase

Elevated Quality

Improved EV defect detection to deliver safer, more reliable vehicles

Visibility

Comprehensive Tracking

Detected flaws throughout the power drive and parking system manufacturing process

Find

Catching the Details

Identified defects in RTV silicone glue, such as holes and bubble

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Pentagon inspects medical components using Cognex machine vision

How Guangdong Lyric Robot Automation is Paving the Way to Affordable, Safe EVs

Fast speed

Speeding Up Production

Increased cell sheet stacking throughput and accuracy

Precise

Incredible Accuracy

Identified cell sheet boundary lines with 99% success rate

Automation

Faster Rollout

Decreased deployment time in some applications by 30%

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Wipro PARI uses Cognex for vision-guided robotics applications like removing parts from dunnage

How Wipro PARI Solves EV Manufacturing Challenges with AI

Fast speed

Accelerating Inspections

Accelerated EV battery module inspection speed while accounting for numerous component configurations

Reduce costs

Cost Savings with Virtual Cameras

Deployed a cost-effective solution for the end user using EtherInspect to create several virtual cameras

Robotic arm

Tracking Complexity

Increased throughput and traceability with vision-guided robotics, vision software, and barcode scanners that verified EV battery module polarity, guided components into place, and tracked parts throughout the process

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Person working on computer monitor showing Cognex products

Ansomat Accelerated EV Battery Pack Assembly

Fast speed

Accelerated Training

Reduced training time for end-users from three months to one week

Award Star

Dramatic Quality Improvements

Decreased EV battery-related claims from one customer by 90%

Eliminate errors

Reducing Waste

Lower scrap rates through reduced operator errors at end-user facilities

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