Optimal Strategy of Disassembly Process in Electric Vehicle Battery Based on Human-Machine Collaboration Re-manufacturing
Guoxian Wang, Jiaxu Gao, Jinhua Xiao
Abstract
The automatic disassembly of electric vehicle battery has always been a key issue in the field of electric vehicle battery recycling. This paper proposes an optimal strategy of disassembly process in electric vehicle battery based on human-machine collaboration re-manufacturing, which combines with artificial intelligence algorithms to complete the identification and positioning of operational targets, optimize the sequence of man-machine operation tasks, and improves the efficiency and safety of the disassembly process. Finally, the research prospects for the implementation of the overall strategy and the future development direction are proposed.
Topics & Concepts
Battery (electricity)Process (computing)Electric vehicleComputer scienceIdentification (biology)Automotive engineeringKey (lock)Field (mathematics)EngineeringManufacturing engineeringControl engineeringComputer securityBiologyQuantum mechanicsBotanyOperating systemMathematicsPower (physics)Pure mathematicsPhysicsExtraction and Separation ProcessesRecycling and Waste Management TechniquesManufacturing Process and Optimization