Abstract: Corresponding template features and search features are obtained by convolution operation, and respectively used as input features in aggregation modules. Intermediate features are obtained by performing convolution operation on the input features. The aggregation modules share the same convolution operation, and hybrid convolution in the aggregation module uses a depthwise convolution and a pointwise convolution to separate mixture between space and channel of the intermediate features. Redundancy in spatial and channel features is reduced while increasing receptive field. Self-attention module in the aggregation module learns intermediate features, and adaptively focuses on different regions to capture more global correlations. Output features of the hybrid convolution are added to output features of the self-attention module to pass through a drop-out layer to obtain final output features. The output features aggregate local and global context information.

Abstract: Disclosed is an estimation method for a whole life cycle cost of a power battery in echelon utilization. In this method, echelon utilization grades are established for the power battery according to an SOH of the power battery; a whole battery capacity model is constructed corresponding to the echelon utilization grades; a cost model is constructed corresponding to the echelon utilization grades; and a variation trend of the whole life cycle cost of the power battery is estimated according to the echelon utilization grades for the power battery, the power battery capacity model and the cost model, and a result of estimation is outputted.

Abstract: Disclosed is an estimation method for a whole life cycle cost of a power battery in echelon utilization. In this method, echelon utilization grades are established for the power battery according to an SOH of the power battery; a whole battery capacity model is constructed corresponding to the echelon utilization grades; a cost model is constructed corresponding to the echelon utilization grades; and a variation trend of the whole life cycle cost of the power battery is estimated according to the echelon utilization grades for the power battery, the power battery capacity model and the cost model, and a result of estimation is outputted.