This deliverable reports on the development and results of advanced battery health optimization and performance within T5.1 of the project. The work focuses on creating a self-supervised cellular neural network predictor to provide real-time and adaptable battery state of health by leveraging a student-teacher learning framework. Additionally, the deliverable covers T5.2, i.e., the implementation of multicriteria optimization for dynamic, staged constant-current charging protocols, which enables optimized balance charging speed, safety, and battery longevity.