Fig. 6: ResNet structure diagram for two-dimensional HI map and one-dimensional HI sequence processing domain.
From: Multi-modal framework for battery state of health evaluation using open-source electric vehicle data
The processing domain consists of an input Convolutional layer, a Batch normalization layer, a Max pooling layer, and four Residual blocks. Each Residual block is composed of two Basic Blocks that follow the convolutional residual network architecture. Following this, a global average pooling layer and three fully connected layers are employed to generate the predicted State of Health (SOH).
