A Genetic Algorithm-Based Optimization Approach for Disassembly Tool Selections toward Electric Vehicle Battery Disassembly

The electric vehicle battery of new energy vehicles has ushered in the first batch of decommissioning. In order to reduce its impact on the environment, the recovery and disassembly of the electric vehicle battery has received extensive attention. In view of the problems that the disassembly of new electric vehicle batteries still adopts manual operation and the robot cannot complete the disassembly task independently, and they need to select appropriate tools during the disassembly process, a genetic algorithm-based evaluation method for the selection of tools in the recycling and disassembly of electric vehicle batteries is proposed. The optimization model of disassembly tools is established, and then the proposed model is further studied and prospected.

Automated summary

In order to reduce the environmental impact of new energy vehicle batteries, the recycling and disassembly of electric vehicle batteries has received widespread attention. A genetic algorithm-based evaluation method for the selection of tools in the recycling and disassembly of electric vehicle batteries is proposed, aiming to address the issues of manual operation and dependence on appropriate tools during the disassembly process. An optimization model for disassembly tools is established, and further research and prospects are conducted on the proposed model.