Applied sciences, 2023-12, Vol.13 (24), p.13153
2023
Details
- Autor(en) / Beteiligte
- Titel
- Knowledge Graph Construction of End-of-Life Electric Vehicle Batteries for Robotic Disassembly
- Ist Teil von
- Applied sciences, 2023-12, Vol.13 (24), p.13153
- Ort / Verlag
- Basel: MDPI AG
- Erscheinungsjahr
- 2023
- Link zum Volltext
- Quelle
- EZB Electronic Journals Library
- Beschreibungen/Notizen
- 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.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 2076-3417eISSN: 2076-3417DOI: 10.3390/app132413153Titel-ID: cdi_doaj_primary_oai_doaj_org_article_b743408ab99e49e5b97dfd9a2ef8c8cb
- Format
- –
- Schlagworte
- Artificial intelligence, Automation, Batteries, Case studies, Collaboration, Digital technology, disassembly sequence planning, Efficiency, electric vehicle battery, Electric vehicles, Energy consumption, Graphs, knowledge graph, Knowledge representation, Machine learning, Ontology, Planning, Recommender systems, robotic disassembly, Robotics, Robots, Semantic web, Semantics, Technical support, Waste management