Electric vehicles (EVs) are becoming increasingly common, reflecting the growing commitment of consumers to a green future. A crucial component of an EV is the electric battery, which stores energy and powers the vehicle. Electric vehicle batteries (EVBs) contain valuable materials that attract remanufacturing engineers to break EV batteries into parts and seek effective recycling methods. Disassembly sequence planning (DSP) is a vital research area in remanufacturing that focuses on dismantling end-of-life (EoL) products. Manual disassembly has disadvantages such as high labour costs, exposure of the operator to toxic materials, and unstable conditions of damaged EoL products, prompting a desire to adopt robotic disassembly. However, the efficiency of robotic disassembly is low. Using an EVB as a case study, this paper compares manual and robotic disassembly and identifies optimal disassembly sequences for each mode. A detailed disassembly operation analysis was conducted using the product structure and computer-aided design (CAD) model. The results show that disassembly with robots takes approximately 1.56 times more than when using human operators, highlighting human operators’ inherent efficiency and adaptability.