Prediction of the Battery State Using the Digital Twin Framework Based on the Battery Management System
Electric Vehicles (EVs) reliance on batteries, which currently have lower energy and power densities than liquid fuels and are prone to aging and performance degradation over time, restricts their mainstream adoption.With applications like electric vehicles and grid-scale energy storage, effective management of lithium-ion batteries is a vital enab