Automation for Remanufacturing of Battery Modules

This project seeks to develop an automation process, enabled by a computer vision system and robotic arms for facilitating routine disassembly and human-in-the-loop, to enable a more flexible, safer, and more efficient LIB disassembly process. Upon completion, this project will deliver the capability to identify damaged and severely degraded modules using electrical test and thermal imaging, a process for high-value assessment of the entire battery pack using electrical tests, and elements for automation of the pack disassembly such as robotic removal of battery pack fasteners. This project will increase recovery of secondary feedstock by 0.198 MMT, save 33PJ of embodied energy, reduce GHG by 2.12 MMT of CO2, based on a doubling of the current reman rate for current EV production of 3.1 million cars.