Machine Vision solutions for battery production
26 Apr 2022 | Reading time: 3 min
Batteries power electric cars and many other devices in our daily lives. Their production processes must meet very high quality standards to ensure maximum capacity and module life.
Optical quality control with our vision solutions increases inspection accuracy, reduces rejects and thus lowers costs.
Automation of inspection from electrode production to packaging
Machine vision systems can be used along the entire battery production chain:
#01 COATING 3D INSPECTION
- Coating thickness & shape
- Edge alignment
→ Battery performance
#02 COATING SURFACE INSPECTION
- Coating defects
- Dual-side coating alignment
- Skip coating edges inspection
→ Battery quality & safety
#03 EDGE PROCESSING
- AI-enabled image processing
→ Process speed
→ Process improvement
#04 CALENDARING SURFACE INSPECTION
- High resolution
- Calendaring defects
→ Cell performance
- Geometry gauging
- Adaptative cutting
→ Reduce scrap
- Datamatrix reading
→ Smart parameter setting
#07 STACKING GUIDANCE
- Alignment tolerance
→ Battery performance
#08 VISION GUIDED ROBOTICS
- Pouch insertion
- Lid sealing
- Glue bead inspection
→ Process speed
#09 POUCH INSPECTION
- Sealing quality
→ Cell quality & safety
#10 3D WELD INSPECTION
→ Product quality & safety
Faster, more efficient, more reliable… and with the highest degree of quality
The boom in e-mobility is driving widespread new construction of state-of-theart production plants throughout Europe. Baptiste Guldner, Managing Director France, explains in an interview why STEMMER IMAGING can particularly profit from this as a supplier of customised inspection systems.
Baptiste, why does e-mobility need automated machine vision?
The current requirements for battery systems are enormous. In order for the mobility transition to succeed, uncompromising operational safety and high performance are both necessary. And the price must be competitive. Though the technology has progressed significantly in the last few years, there is plenty of optimisation potential. This ranges from the energy yield to process reliability and manufacturing costs to reduction of the carbon footprint. Machine vision provides reliable ways to monitor each step of the process completely, making battery production more efficient and resource-friendly.
Why is the battery market so interesting for STEMMER IMAGING?
STEMMER IMAGING can look back on nearly 35 years of experience in machine vision for industrial automation. The process steps involved in battery production are almost completely automated and have many parallels with other classic automated manufacturing systems. This allows us to optimally use the expertise we have developed in this market over many years for the benefit of our customers.
What can STEMMER IMAGING provide in detail?
We offer a comprehensive range of products from leading manufacturers so that we always assemble the best possible components for our customers’ systems. Upon request, we can supplement this with a wide range of value-added services – from distribution to project deliverables in solution development. We also offer pre-assembled subsystems, which allow our customers to significantly reduce effort and costs.
In one sentence: why should an e-mobility customer choose STEMMER IMAGING?
Our experts find the best possible customised solutions for improving product quality, reducing the error rate and increasing the automation efficiency of even the most demanding machine vision tasks.
Advantages of our customised machine vision solutions
ENSURING PRODUCT QUALITY
Our high-resolution 2D and 3D imaging systems will let no defect unseen at every production step. By knowing the exact quality grade of each component through the production process, the plant ensures all batteries will deliver the required performance and safety levels.
REDUCING SCRAP MATERIAL
Real-time tool guidance with machine vision will adapt to product variations and process variations.
This enables the plant management to continuously tighten manufacturing tolerances without affecting quality. Using less raw material and producing less scrap in order to reduce cost per kWh.
INCREASING PRODUCTION PERFORMANCE
Enabling digitalisation of the production lines, machine vision systems will feed the continuous optimisation of the production processes.
Allowing to continuously increase the average product performance over time.
OPTIMISING END-OF-LINE PROCESS TIME
Feeding digital twins with QA information combined with traceability solutions allows smart parameter settings of subsequent processes.
Time-consuming end-of-line processes can be dynamically optimised to every cell’s real performance.
Our field-proven imaging tools include the latest machine learning algorithms, enabling machine builders and plant managers to solve future production challenges.
With the help of our engineers, tackle the next machine vision challenges and explore new trending technologies we bring in from other industries.