Machine Learning for Battery Health Prediction- introduction

1. describing the “state of health” in batteries, definition and importance, and applications of such a degradation model in industry (2-4 pages) 2. what has been done so far on “state of health” modeling ? naming a few methods including the mathematical one (2 pages) 3. “state of health” modeling using machine learning, what has been done. Advantages, disadvantages, (2pages) 4. go more into details on two machine learning methods (suggestions: neural network and SVM), cite related papers, maybe say something about bottlenecks (3-4pages)