Knowledge Graph Construction of End-of-Life Electric Vehicle Batteries for Robotic Disassembly
Source abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Manufacturing Process and Optimization · Recycling and Waste Management Techniques · Advanced Manufacturing and Logistics Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China
School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China
Funding
Department of Science and Technology of Hubei Province · Fundamental Research Funds for the Central Universities of China
References (35)
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