Abstract: With the coming of the peak of electric vehicle power battery retirement, the battery cascade utilization energy storage technology is highly concerned by both academia and industry. Compared with new batteries, retired batteries have poor consistency, high performance dispersion, and high safety risks. In the process of layer-by-layer integration from battery cells, modules, battery clusters to energy storage systems, the above problems will be superimposed and amplified, resulting in the overall system Increased performance uncertainty. Based on the performance decay law and safety state evolution mechanism of decommissioned batteries, this paper focused on the overview of the characterization and residual value evaluation methods of the health status of decommissioned batteries. The characteristics and health evaluation of decommissioned batteries were extracted from two dimensions: data-driven and model-driven. The research conducted a summary analysis, improved the accuracy of the retired battery health evaluation model through the digital-analog hybrid drive method, and looked forward to the research direction of feature extraction and health assessment of decommissioned batteries.