General description of the project:
This research focuses on applying machine learning (ML) to evaluate the State of Health (SOH) of re-chargeable batteries, which are widely used in renewable energy related applications. Battery SOH will be predicted and compared among neural networks. With our Electric Flight Vehicle (EFV) dataset, we were able to extract a substantial training and testing dataset to be used. The Keras Sequential Model is the first method being tested.