Establishing an efficient collection system for EoL batteries is a fundamental component of a successful recycling strategy . On one hand, the disassembly and recovery potential of batteries depend on various parameters, including their EoL health state, typically indicated by metrics like SoH, SoC, and RUL. Incorrect estimation of these parameters can result in disassembly failures and diminish sustainable benefits . On the other hand, the initial phase of the battery recycling process, which involves collection and sorting, presents a significant challenge due to the substantial variation in the chemistries and states of batteries, influenced by their wide application and usage scenarios . Therefore, accurately identifying and classifying batteries based on their chemistry and state becomes a pivotal step before the recycling process can commence.