Edge-Computing-Oriented Lightweight State of Charge Estimation Method for Energy Storage Batteries
Long short-term memory (LSTM) networks have been widely applied to battery state-of-charge (SOC) estimation because of their capability to capture nonlinear battery dynamics and long-term temporal dependencies. However, deploying high-accuracy LSTM-based SOC estimation models on resource-constrained edge devices rema...