The remanufacturing of spent power batteries (SPBs) refers to a series of processes including inspection, disassembly, repair, reassembly, and testing for electric vehicle power batteries that have been used and reached the end of their original service life. This process aims to restore the batteries to the performance standards of new batteries, thereby extending their service life and achieving sustainable development. Using NIO Inc. as an example, we analyzed their energy service system and discussed the necessity of disassembling SPBs. In China, the development of SPB disassembly lines has evolved from manual disassembly on industrial assembly lines to refined disassembly and is now upgrading towards flexible, mixed-flow, and intelligent disassembly. To address this challenge, we have designed an intelligent robotic disassembly system based on NeuroSymbolic Artificial Intelligence. This system is built upon digital twin technology, forming a flexible mixed-flow disassembly solution capable of adapting to various demands. Through the ‘cloud-edge-client’ system, we have achieved real-time decision support, planning, and dynamic configuration and optimization of the disassembly process. This ensures the autonomy and efficiency of the disassembly operations. To tackle dynamic environments, complex scenarios, and unstructured tasks, we have developed and deployed an autonomous mobile manipulation robot named BEAM (Battery disassEmbly AMmr) for battery disassembly within the disassembly system. The introduction of BEAM has not only enhanced the intelligence level of the remanufacturing process but also propelled the entire remanufacturing industry towards higher quality and greater efficiency.