2026
RL-DTNet: Reinforcement Learning Driven Deep Temporal Network for Accurate State-of-Charge Estimation in Lithium-Ion Batteries
A reinforcement learning driven deep temporal network (RL-DTNet) is proposed for SoC prediction, integrating of reinforcement learning for self-correction, temporal attention to handle dynamic dependencies, and a degradation-aware model for long-term prediction accuracy.
S. M. Kanna, G. Narmadha, B. Sakthivel
· Journal of Energy Engineerin... · 0 citations