Knowledge Graph Construction of End-of-Life Electric Vehicle Batteries for Robotic Disassembly

Author:

Wang Jiangbiao1,Huang Jun1,Li Ruiya2ORCID

Affiliation:

1. School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China

2. School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China

Abstract

End-of-life (EoL) electric vehicle (EV) batteries are one of the main fountainheads for recycling rare metal elements like cobalt and lithium. Disassembly is the first step in carrying out a higher level of recycling and processing of EV batteries. This paper presents a knowledge graph of electric vehicle batteries for robotic disassembly. The information extraction of the EV batteries was conducted based on the source data of EV batteries. The semantic ontology structure and the knowledge graph of the EV batteries were constructed. A case study was designed to demonstrate the proposed knowledge graph. The study involved generating a robotic disassembly sequence planning for an EoL EV battery. The results show the feasibility of the constructed knowledge graph.

Funder

Department of Science and Technology of Hubei Province

Fundamental Research Funds for the Central Universities of China

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

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