Battery disassembly forms a central jumping-off point for recycling in the context of a sustainable closure of the battery loop. The main objective for economic realization in line with European recycling regulations is therefore a transformation of the battery disassembly from a manual to an automated process. Product-related influences such as design variations and process-side constraints including the selection of disassembly technologies require large amounts of data for implementation in an automated system. This article examines accessible data sources in the literature and the upcoming battery passport to build a basis for a multi-layered methodical analysis of the data required for the automation of battery disassembly. For this purpose, the disassembly sequence and depth of an Audi e-tron battery pack are first identified using a priority matrix and converted into a product and process structure. Definitions for product- and process-related elements are established, and a generalized process model is developed, which is finally converted into a data structure model approach. The result shows that much of the required data to automate the disassembly of used batteries are currently not yet available. Further efforts must be made to establish data structures and standards regarding product- and process-related disassembly data.