 The popularity of electric vehicles, EVs, and smart grids has led to increased demand for batteries, which are powered by battery management systems, BMS. These systems provide critical functions such as battery state estimation, battery safety, and thermal management, while also ensuring safe battery operation. Due to their limited memory and computational capacity, onboard chips present a challenge in achieving these goals. Cloud computing offers a more flexible and efficient alternative to traditional methods requiring less hardware investment. Machine learning is becoming an essential tool for analyzing large amounts of observational data, leading to the development of a cloud-based AI-enhanced BMS. This will enable improved predictive and modeling capabilities, combining the strength of physical process models with the versatility of machine learning techniques. This article was authored by Depaichure, Jingyuan Zhao, TKEs, and others. We are article.tv, links in the description below.