Hardware-Aware Reinforcement Learning-Based State of Charge Estimation for Lithium-Ion Batteries: A Cross-Platform Evaluation of Fixed- and Floating-Point Implementations
A three-stage pipelined SoC estimation framework incorporating a reinforcement learning primary stage, least squares boosting (LSB) secondary residual corrector, and ultimate linear three-point interpolation (3p-InT) stage that can be generalized across both profiles without requiring dataset-specific re-tuning is prop...