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Battery Cell Design: Insights Through AI and Simulation

From teardown analysis to AI-driven microstructure characterization and AVL CRUISE™ M modeling
Battery Cell Design Insights Through AI and Simulation

In this webinar, AVL and Polaron show how advanced cell analysis, AI-driven image processing, and simulation turn battery microstructures into predictive engineering insights. This enables more confident design decisions, accelerates cell and battery system development, reduces costly iteration cycles, and significantly shortens time-to-market while improving product performance and competitiveness.

Key Takeaways:

  • Learn how to reveal hidden electrode design characteristics and quantify microstructure beyond visual inspection 
  • Understand how structural features connect to cell performance 
  • Explore how simulation helps evaluate design trade-offs 
  • See how development time and testing effort can be reduced 
  • Learn how data-driven insights enable better battery engineering decisions
Can't wait until the webinar? Download the white paper today and start exploring the insights behind battery cell design.
 
Download the white paper here.

 

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Duration
60 min
Presentation language
English
Dr. Martin Lea

Dr. Martin Lea
Forward Deployed Engineer
Polaron Ltd.

Bernhard Poellabauer

Bernhard Pöllabauer
Technical Expert Battery
AVL List GmbH

White Paper 'Battery Cell Design: Insights Through AI and Simulation'
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