ZEISS Battery Workshop 2023

8:00 am

Reception, greeting and refreshments

8:45 am

Welcome address

9:00 am

Keynote speaker Celina Mikolajczak, Chief Battery Technology Officer at Lyten
Celina discusses the challenges of lithium-ion technologies for electric and hybrid vehicles in the areas of durability, reliability and performance, and safety considerations. Celina talks about the advances of new emerging battery materials, the exacting process of manufacturing battery cells, and the challenges of achieving secure and reliable supply chains in the transportation and energy sectors.

9:45 am

Coffee break, networking with ZEISS experts

10:00 am

Assessing batteries with 3D X-ray tomography and electron/light microscopy
This presentation introduces imaging workflows for developing a better understanding of battery systems through X-ray tomography, electron microscopy, and light microscopy. Such imaging workflows can be run independently or assembled into complementary multiscale correlative microscopy evaluations to provide valuable insights on the inner workings of battery systems at multiple length scales, from macroscopic features to nanoscale details (i.e., sub-micrometer and nanometer resolution). These capabilities speed up R&D and product development times, increase cost-effectiveness, and simplify failure analysis and quality inspection of rechargeable batteries and other technologies built with emerging new energy materials. Attendees will learn:

• How the inspection and analysis of rechargeable cells at the R&D, production and post-consumer level can be supported by X-ray imaging technologies.

• See the diverse range of sample types and sizes that high-resolution (micrometer and sub-micrometer) non-destructive 3D X-ray tomography can address.

• How specific regions of interest can be targeted for rapid access via femtosecond laser milling.

• How the nanoscale structure, chemistry, and crystallography of critical battery components can be revealed with focused ion beam electron microscopy to further enhance these workflows.
  

10:45 am

Speeding up battery inspection by artificial intelligence powered algorithms
This presentation shows how to use artificial intelligence (AI) technologies to inspect batteries with 3D X-ray microscopy (XRM) and computed tomography (CT) as well as 2D techniques like electron and light microscopy. More specifically, it illustrates how deep-learning based algorithms for CT reconstruction can be integrated into 3D X-ray inspection workflows for batteries, without the need for user expertise in AI technology. In addition, AI provides a wide range of tools for automated defect recognition (ADR) of complex components that are difficult to analyze using traditional measurement methods. Machine learning (ML) platforms can train ADR models to assess battery overhang and inclusions. In the end, using deep- learning based algorithms for CT reconstruction, such as ZEISS DeepRecon Pro, allows for 3D XRM workflows to be applied much more economically by reducing the time required for data acquisition. On the other hand, ML for defect detection provides a wide range of tools that can increase accuracy of detection and allow for ADR to work on lower quality (faster) CT images. AI-based methods can also help with automated image segmentation and material classification in electron and light microscopy techniques to accelerate battery material and electrode characterization tasks. AI-based X-ray inspection technologies will have a major impact on testing and failure analysis of batteries where non-destructive imaging is often required. Attendees will learn:

• How the inspection and analysis of rechargeable cells at the R&D, production and post-consumer level can be supported by AI-powered algorithms.

• See the diverse range of sample types and sizes that high-resolution (micrometer and sub-micrometer) AI-powered microscopy can address.

• How evaluation can be optimized by advanced reconstruction methods, 2D automated defect detection and machine learning-based defect detection algorithms.

• How image segmentation tasks can be automated and accelerated using AI-based methods for faster, better insights into materials and electrode characteristics.

11:30 am

Q & A and networking with ZEISS experts

12:00 pm

Lunch provided by ZEISS

1:00 pm

Overview of ZEISS technology solutions

1:30 pm

Technology station visits: See individual battery inspection solution areas with ZEISS electron microscopes, ZEISS Xradia XRM systems and ZEISS light microscopes.

3:30 pm

Tour of the ZEISS Innovation Center 

4:30 pm

Event wrap-up