AI RESEARCH
A Deep Learning Model for Battery State Prediction towards Intelligent Energy Management
arXiv CS.LG
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ArXi:2605.00898v1 Announce Type: cross Accurate forecasting of battery health indicators, including remaining capacity and lifetime, is of paramount importance for ensuring the reliability, safety, and operational efficiency of applications such as electric vehicles and large scale energy storage infrastructures. The result of the forecasting can be adopted to build an advanced monitoring mechanism for continuous checking batteries' health status to assist in the efficient real-time management of numerous applications.