Advanced Digital Tools for Improving Battery Development and Performance

Join our leading speakers as we jump right into the integration of digital tools like machine learning algorithms for predictive analytics, and real-time monitoring systems in battery development. It focuses on how these tools optimise battery chemistries, enhance cell design, speed up manufacturing and improve lifecycle management.

Questions for discussion:

  • In what ways can Machine Learning expedite the discovery of new battery materials? 
  • What are the challenges in implementing real-time monitoring systems in large-scale battery production?

Confirmed talks:

Confirmed talks:

Energising the Pace of Battery Development: Achieving Safer, More Reliable Batteries, Faster With AI-Guided Testing

  • Dr. Richard Ahlfeld, CEO and Founder, Monolith 


Model-Based Design for Battery Systems: Fast Charge, Usable Energy and Faults

  • Sebastián Arias, Senior Energy Storage Modelling Engineer, Mathworks 


SOC Needs a ‘Wake-Up’: Errors in SOC Estimation

  • Nick Muir, Battery Application Engineer, Elysia Battery Intelligence from Fortescue WAE 


How can Advanced Testing Methods Reduce the Cost and Time-To-Market for New Battery Technologies

  • Dr. Christian Miesner, Vice President Battery and Cell-Testing, AVL