| Abstract: |
Ontologies are of great importance in organizing and structuring domain knowledge towards interoperability and data integration in various fields, as provide a standarised vocabulary and a formal representation of relationships between concepts, which is essential for advancing data-driven applications. This paper presents the development of an OWL (Web Ontology Language) ontology for the battery testing field, creating the foundations for the development of a Digital Twin that will virtualize tests to be performed on battery cells and modules. It emphasizes the significance of the battery domain characterization and ontology definition as critical components in developing an effective Digital Twin for battery testing. An investigation of prior studies available in the literature was conducted, highlighting examples of ontologies such as SSN (Semantic Sensor Network) and SOSA (Sensor, Observation, Sample, and Actuator), which targets integration into the digital twin environments to enhance sensor data management and interoperability. The research also found hybrid ontologies, combining elements from existing ones and battery-specific Digital Twin architectures. The developed ontology was validated through a practical use-case by integration with cloud platform Microsoft Azure Digital Twins, converting the ontology from OWL to DTDL (Digital Twins Definition Language). This step completes the cycle as the proposed framework aims to create a robust and scalable Digital Twin environment that can be adapted to various battery testing scenarios, providing actionable insights from tests. |