Lightweight State of Health Estimation for Lithium-Ion Batteries Based on Hybrid PSO-NM Algorithm and Event-Triggered Adaptive Closed-Loop Correction
This study proposes a lightweight, low-latency, and high-precision Adaptive Closed-loop Correction Model (ACCM), a double-exponential model with explicit capacity regeneration compensation (CRC-DEM) that demonstrates superior lightweight efficiency and competitive accuracy compared to traditional deep learning approach...