版权所有:内蒙古大学图书馆 技术提供:维普资讯• 智图
内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:Huazhong Univ Sci & Technol Sch Mech Sci & Engn State Key Lab Digital Mfg Equipment & Technol Wuhan Peoples R China Chung Ang Univ Dept Energy Syst Engn Seoul South Korea
出 版 物:《ENERGY STORAGE》 (Energy. Storage.)
年 卷 期:2021年第3卷第3期
核心收录:
主 题:conservation of materials disassembly efficient recycling environmental benefits intelligent robotics recovery
摘 要:With the increasing use of batteries, battery recycling would become a considerable problem in the next decade. However, the current recycling technologies are still on the stage of research and development. A significant challenge in the traditional recycling method is that the recovery procedure relies heavily on manual work. Therefore, it is necessary to develop an intelligent, automatic or semi-automatic framework for rapid disassembly and efficient recovery of retired batteries. In this study, the key research problems during the battery recycling process were identified first. The main recycling process was divided into three parts: automatic disassemble process, residual energy detection, and second utilization as well as chemical recycling. Based on the above research gaps, a qualitative framework of UR5 robots for safe and fast battery recycling, residual energy detection, and secondary utilization of retired batteries was proposed. The framework includes a battery position and shape measurement system based on machine vision, an automatic battery removal system based on UR5 industrial robot, a battery residual energy detection, and classification system. Furthermore, a real case study of battery pack recycling was carried out based on manual work and automatic robot work. The results show that the proposed recycling framework can work efficiently compared with the traditional recycling method. Moreover, the future perspectives of battery recycling are summarized.