Cloud-Based Artificial Intelligence Framework for Battery Management System

As the popularity of electric vehicles (EVs) and smart grids continues to rise, so does demand for batteries. Within landscape battery-powered energy storage systems, battery management system (BMS) is crucial. It provides key functions such as state estimation (including charge, health, safety, thermal management) well cell balancing. Its primary role ensure safe operation. However, due limited memory computational capacity onboard chips, achieving this goal challenging, both theory practical evidence suggest. Given immense amount data produced over its operational life, scientific community increasingly turning cloud computing analysis. This cloud-based digital solution presents a more flexible efficient alternative traditional methods that often require significant hardware investments. The integration machine learning becoming an essential tool extracting patterns insights from vast amounts observational data. result, future points towards development artificial intelligence (AI)-enhanced BMS. will notably improve predictive modeling long-range connections across various timescales, by combining strength physical process models with versatility techniques.