A Unified Machine Learning Framework for Remaining Discharge Time Prediction in Electric Vehicle Batteries Using Pseudo-Target Learning
Accurate Remaining Discharge Time (RDT) prediction is critical for mitigating range anxiety in Battery Electric Vehicles, particularly under irregular off-road operating conditions. However, existing approaches rely heavily on complete time-series data, which is often unavailable in industrial environments. This work p...