A Multi-Scale Hybrid Neural Network with Attention and Intelligent Optimization for High-Precision State of Charge Estimation of Lithium-Ion Batteries
A hybrid neural network optimized by an improved sparrow search algorithm for SOC estimation, combining temporal convolutional networks for local feature extraction and bidirectional long short‑term memory networks for long‑term dependency capture, promising wide battery management system applications.