Resource-Constrained Embedded Neural Network SOC/SOH Estimation for Real-Time On-Device Battery Management
The proposed framework uses temporal and dilated convolutions with residual learning and dual estimation heads, followed by structured pruning, knowledge distillation, and INT8 quantization for lightweight deployment and provides a compact and scalable solution for on-device joint SOC–SOH estimation.