Battery testing ontology paper
Battery testing ontology
An EMMO-based semantic framework for
representing knowledge in battery testing and battery quality control
Goldbeck Consulting, along with partners from the NanoMECommons project and DigiCell, have published an article in Computers in Industry, that describes a new, Battery Testing Ontology (BTO) that provides a comprehensive framework for the representation of knowledge in battery testing and quality control areas that will faciliate innovations and advances in this area.
As the importance of and our reliance on batteries in our day-to-day lives continues to increase, so does the need for advanced battery management systems and test procedures. This is a complicated task because batteries are used in many applications, such as electric vehicles, energy storage systems and watches. Here, the BTO provides a standardized framework to represent battery testing knowledge, which integrates with materials science ontologies to improve testing and quality control.
The BTO is also fully aligned with the Elementary Multiperspective Material Ontology (EMMO) and other related domain ontologies, including the Battery Domain Ontology (BDO), the Electrochemistry Domain Ontology (EDO) and the Characterization Methodology Ontology (CHAMEO), and therefore can help to improve the safety, reliability and efficiency of battery systems.
Battery testing ontology: An EMMO-based semantic framework for representing knowledge in battery testing and battery quality control
was written by Pierluigi Del Nostro, Gerhard Goldbeck, Ferry Kienberger, Manuel Moertelmaier, Andrea Pozzi, Nawfal Al-Zubaidi-R-Smith, and Daniele Toti.
Battery-testing-ontology-paperOr to view the paper, click here.
A version of record of this work is available here.
Acknowledgement: This work has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 952869 (NanoMECommons)
