Open AccessQualitative framework based on intelligent robotics for safe and efficient disassembly of battery modules for recycling purposes
Author(s) -
Akhil Garg,
Lin Zhou,
Jun Zheng,
Liang Gao
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/463/1/012159
Subject(s) - battery (electricity) , reuse , sorting , robot , safer , automation , remanufacturing , computer science , robotics , battery pack , sort , embedded system , engineering , artificial intelligence , manufacturing engineering , database , waste management , mechanical engineering , power (physics) , physics , computer security , quantum mechanics , programming language
In next 5-10 years, there will be 5-8 million tons of spent batteries accumulated as waste. There exists methods for recovery of materials from a battery for reuse or remanufacturing purposes. The research question arises on how about the recycling of batteries stacked in the battery modules in series or parallel configurations. This paper shall propose the qualitative framework based on intelligent robots for safer and efficient disassembly of battery modules for recycling. The framework combines the battery pack’s automatic removal procedure with the battery’s intelligent sorting program to recycle the reusable batteries. It has higher degree of automation and higher recycling efficiency than the existing frameworks. This also includes a smart battery information collection system (machine vision based information reading), an intelligent robot based battery disassembly system and a smart battery classification system. In addition, the framework also includes AI model based programming of robot so that it can sort out the batteries in ascending order of their remaining life.