Understanding battery degradation with AI and test data
04Mar
Monolith AI platform
In a webinar titled 'Understanding Battery Degradation With AI and Test Data', the founders/CEOs of Monolith and About:Energy will give an update on a recently-announced partnership. They will share initial findings from building battery ageing models in the Monolith software environment, from high-quality battery test data from About:Energy.
Some of the findings will cover:
• Exploring and preparing battery test data to create a machine-learning model
Dr. Richard Ahlfeld, CEO and Founder of Monolith
• Using machine learning models to predict the battery degradation path and end-point for capacity and power fade
• Predicting which cell ageing tests can be stopped early based on the models to accelerate the testing process.
Gavin White, CEO and Co-Founder of About Energy, setting up battery test equipment to understand the processes that lead to ageing
The webinar will close with discussion of next steps for the continued joint research for producing pre-trained models to accelerate new battery development.
The webinar will be held on March 6, 16:00 CET / 15:00 GMT, with registration for attendance available here.
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