Qualitative framework based on intelligent robotics for safe and efficient disassembly of battery modules for recycling purposes

Akhil Garg, Lin Zhou, Jun Zheng, Liang Gao*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

14 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number12159
JournalIOP Conference Series: Earth and Environmental Science
Volume463
Issue number1
DOIs
Publication statusPublished - 6 Apr 2020
Externally publishedYes
EventInternational Conference on Sustainable Energy and Green Technology 2019, SEGT 2019 - Bangkok, Thailand
Duration: 11 Dec 201914 Dec 2019

Keywords

  • Electric vehicles
  • Intelligent robots
  • Qualitative framework
  • Recycling

Cite this