This webinar will include an update on the initial findings from building battery ageing models in the Monolith software environment using 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.
• Using machine-learning models to predict the battery degradation path and end-point for capacity and power fade.
• Predicting which cell aging tests can be stopped early based on the models to accelerate the testing process.