Monolith at The Battery Show 2024

 

Reduce validation testing time and effort. Get to market faster.

Huntington Place, Detroit, MI
Oct. 7-10, 2024
Stand 6107
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Using AI-Guided Testing to Validate New Battery Cell Chemistries Faster

Thursday October 10th, 2:30 PM - 3:30 PM , Location: Blue
richard monolith ceo about monolith

Discover the future of electric vehicle battery technology with Dr. Richard Ahlfeld as he explores the integration of Artificial Intelligence (AI) and Machine Learning (ML). Learn how AI-driven testing optimizes battery development, enhances safety through anomaly detection, and efficiently validates new chemistries.

Meet our team  

Have technical demos, chats & consultations at our booth
richard monolith ceo about monolith
Dr. Richard Ahlfeld

CEO & Founder

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John Pasquarette

Vice President Product Marketing

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Jim Shaw

Head of Sales, Americas

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Arnob Bhuyan

Solutions Engineer

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About The Battery Show Conference: 

The Battery Show brings together engineers, business leaders, top-industry companies, and innovative thinkers to discover ground-breaking products and create powerful solutions for the future. More than 19,000 attendees are expected to take advantage of four full days of educational sessions, networking opportunities and, of course, explore the latest market innovations. There are many reasons why you should attend this event...

 

About Monolith

We enable engineers all over the world to:

 

  • Understand physically intractable problems
  • Fully explore multiple virtual test scenarios
  • Reduce costs and time investment throughout the whole R&D cycle
  • Increase confidence in predictions & recommendations on which tests to run next‍

Ensure battery design quality & safety using AI

 

With the power of AI, you can model battery performance across the design space with a fraction of a traditional test plan. Using the Next Test Recommender, you can apply multiple machine learning algorithms at once to chart your testing path using the fewest steps possible incrementally.

 

Predict the critical tests to run


Test too much and you waste time confirming what you already know. Test too little and you risk missing performance issues. Schedule, quality, and your career depend on finding the balance.

 

  • Run the most important tests and skip the rest
  • Optimize resources spent on costly test rigs and facilities
  • Validate your designs faster with fewer prototype iterations 

Trusted by

BAE Systems
Jota
Aptar
Mercedes
Honda
Siemens