News: Battery testing ontology paper

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Battery testing ontology

An EMMO-based semantic framework for
representing knowledge in battery testing and battery quality control

 

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 need can become a complicated task because batteries are used in many applications, such as electric vehicles, energy storage systems and watches.

Recently, a paper has been published in Computers in Industry that describes a new Battery Testing Ontology (BTO), which has been developed in a collaboration between Goldbeck Consulting and Keysight Technologies as part of the EU NanoMECommons project. BTO provides a comprehensive framework for the representation of data and protocols in battery testing and quality control.

The BTO elucidates concepts specific to battery testing and integrates them with the Characterization Methodology Ontology (CHAMEO) (see image below) and other relevant  materials science ontologies, including the Battery Domain Ontology (BDO) and the Electrochemistry Domain Ontology (EDO). The BTO is fully aligned with the Elementary Multiperspective Material Ontology (EMMO).

 

This image shows the core classes and properties of the Battery Testing Ontology to describe the overall battery testing process displaying the various processes, subclasses, and instances used. This figure was taken from Del Nostro, P. et al. Computers in Industry 164, 104203 (2025) published under a CC BY-NC-ND 4.0 licence.

 

The BTO is able to model a variety of electrical battery cell tests, including impedance spectroscopy (current and voltage over time), self-discharge (current over time), and high-voltage tests (voltage over time). It can also integrate necessary test hardware requirements for a given set of battery cell properties, e.g. the separator layer quality in the high-voltage test.

Within the NanoMECommons project, BTO has been developed on the basis of existing Matlab and JSON files, from which metadata tables were collaboratively developed, and these were subsequently modelled in a CHAMEO and EMMO aligned ontology.

The resulting “semantic layer” on top of existing file systems offers a standardized and extendable way to detail and share testing outcomes across application scenarios.

The work has demonstrated BTO’s potential to enhance battery test design and optimise test accuracy, both of which aid continuous improvements in safety, reliability, and efficiency of battery systems.

The integration of data and concepts across battery testing, materials characterisation and other materials science domains facilitated by the alignment with the EMMO is beneficial because it fosters a collaborative and cohesive interdisciplinary approach to battery research, development and testing.

 

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-paper

Or 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)

 

Battery testing ontology paper

/in , , , , , /by

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-paper

Or 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)

 

EMMC logo

CONNECT-NM kick-off meeting Madrid

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Today, as part of his work with the EMMC, Gerhard is giving a talk at the CONNECT-NM kick-off meeting that is taking place at CIEMAT in Madrid.

Coordination of the European Research Community on Nuclear Materials for Energy Innovation (CONNECT-NM) is a project that answers the Euratom WP call “Cofund HORIZON-EURATOM-2023-NRT-01-04”, for a co-funded European partnership with the aim of boosting innovation in the field of nuclear materials for use in reactors ranging from light water to GenIV, by combining modern digital technologies with materials science practices.

Importantly, the handling of data, including its semantic documentation, is one of the research streams that forms part of the CONNECT-NM project. This project also includes multiscale materials modelling and testing, which makes it relevant to much of the work that Goldbeck Consulting undertakes.

Picture of lectures at the Connect-NM kick-off meeting

Picture of lectures at the Connect-NM kick-off meeting

Gerhard’s presentation is entitled: European community activities in materials modelling, digitalisation, interoperability and data standards:

EMMC_Connect-nm

Or, you can view the presentation here.

 

Acknowledgement: This work has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreements OpenModel (GA n. 953167) and NanoMECommons (GA n. 952869)

 

Semantic Knowledge Management for Materials

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Semantic Knowledge Management for Materials: the benefits of a FAIR data and model-based approach in industrial research and development

 

Goldbeck Consulting, along with partners from the OntoTrans project, have prepared a paper that highlights the benefits of using Semantic Knowledge Management (SKM) in materials research and development.

Semantic data and knowledge management, central to the Semantic Web (or Web 3.0), enables machines to analyse information based on data, metadata, and their relationships. In materials science, a key advantage to this approach is the creation of a flexible, overarching data model that improves data quality, lowers costs, and facilitates easier integration of new information. The use of these technologies in business is growing due to the need for complex data integration.

Semantic Knowledge Management for Materials: the benefits of a FAIR data and model-based approach in industrial research and development

was written by Nadja Adamovic, Francesca Bleken, Alessandro Calvio, Vikki Cantrill, Vinicius Carrillo Beber, Seán Courtney, Anders Eklund, Gerhard Goldbeck*, Fajar Ekaputra, Luca Foschini, Jesper Friis, Emanuele Ghedini, Thomas Hagelien, Guntur Herwanto, Natalia Konchakova, Daniel Höche, Welchy Leite Cavalcanti, Alessio Mora, Michael Noeske, Florina Piroi, Peter Schiffels, Alexandra Simperler and Sean Stijven.

OntoTrans_OverviewPaper_Final

Or 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 862136 (OntoTrans)

 

Close-up of mechanical gears and cogs. Designed by FreePik

MSE2024 conference Darmstadt

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Today, the International Materials Science and Engineering Congress — MSE 2024 — gets underway in Darmstadt, Germany. Organised by the Germany Society for Materials Science, this biennial event covers material science and engineering attracts over 1,200 participants.

Both Gerhard and Otello from GCL are taking part in this event. If you are at the conference, feel free to say hello and talk to Gerhard about the work that we do.

As part of the Digital Transformation session, Gerhard is giving a presentation entitled ‘Interoperable representations of characterisation workflows​‘, which gives an overview of how reference frameworks for characterisation workflows have been developed and applied. The presentation highlights work developed as part of the NanoMECommons project.

In addition, Otello is also giving a presentation as part of the same session. His talk entitled ‘Encompassing materials modelling for industry 4.0‘, focuses on materials modelling workflows using semantic technologies that was undertaken as part of the OpenModel project.

Gerhard also gets to chair an open session for NFDI-MatWerk that works to provide a comprehensive and accessible data infrastructure for all those working within the materials science and engineering community.

 

Gerhard’s presentation:

Goldbeck_MSE2024

Or, you can view the presentation here.

Otello’s presentation:

MSE2024_Roscioni

Or, you can view the presentation here.

 

OpenModel project logo

Openmodel Exploitation Workshop

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The OpenModel Exploitation Workshop took place yesterday and today (17 and 18 September 2024) in Hamburg, Germany. This two-day event demonstated the potential of OpenModel with ineractive sessions and on platform training with real-world applicatons.

Otello gave a presentation today entitled Describing, retrieving, and executing materials modelling workflows on the OpenModel platform, which gave a behind the scenes look into how to write and ontology from scratch and setting up semantic descriptions of workflows.

The presentation contains work resulting from EU project, OpenModel.

OIP_workshop_Hamburg24-v1

Or, you can view the presentation here.

 

 

One of the presentations at SeMatS 2024. Credit: Gerhard GoldbeckOne of the presentations at SeMatS 2024. Credit: Gerhard Goldbeck
One of the presentations at SeMatS 2024. Credit: Gerhard Goldbeck One of the presentations at SeMatS 2024. Credit: Gerhard Goldbeck One of the presentations at SeMatS 2024. Credit: Gerhard Goldbeck Gerhard presenting at SeMatS 2024 on Top Level Ontologies. Credit: Gerhard Goldbeck Gerhard presenting at SeMatS 2024 on Top Level Ontologies. Credit: Gerhard Goldbeck Gerhard presenting at SeMatS 2024 on Top Level Ontologies. Credit: Gerhard Goldbeck Gerhard presenting at SeMatS 2024 on Top Level Ontologies. Credit: Gerhard Goldbeck Gerhard presenting at SeMatS 2024 on Top Level Ontologies. Credit: Gerhard Goldbeck

SeMats 2024 photo gallery

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Here is a gallery of photos from SeMats 2024, Amsterdam, the Netherlands. Photo credits: Gerhard Godlbeck, GCL.

 

Semantics 2024 conference logo. Amsterdam 2024.

Semantics 2024 conference

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Today, Gerhard is attending the 20th International Conference on Semantic Systems, Semantics 2024, in Amsterdam. If you are at the conference, feel free to say hello and talk to Gerhard about the work that we do.

Gerhard will be giving a presentation entitled Top Level Ontologies: desirable characteristics in the context of Materials Science, which emphasises the core role semantic technologies play in driving innovation and achieving interoperability of data. The presentation forms part of a session dedicated to “Harnessing the Power of Semantic Web Technologies in Materials Science“.

The presentation contains work resulting from several EU projects, OntoTrans, OntoCommons and NanoMECommons.

SeMatS2024-presentation

Or, you can view the presentation here.

The presentation in paper format, has since been included in the proceedings from the conference. Top Level Ontologies: desirable characteristics in the context of Materials Science was written by Pierluigi Del Nostro, Jesper Friis, Emanuele Ghedini, Gerhard Goldbeck, Daniele Toti and Francesco Zaccarini.

TopLevelOntologiesPaper
Update: See our photo gallery from the event here. Photo credits: Gerhard Goldbeck, GCL. 

Science communication in OntoTrans

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Science communication in the OntoTrans project

 

During the OntoTrans project, project partners used a variety of ways to communicate the project’s outcomes. In particular, social media platforms were used to disseminate results and reach out to the wider public.

Visual images on such platforms are an excellent way to convey content or to accompany text. So, over the course of the project, OntoTrans got creative with its artwork to help spread the word and help the public understand some of the technological advances from the project and how such technologies will develop in the coming years. An overview about communicating research projects to the public, with an emphasis on the current project, has been published.

Social Media – the Art Nouveau of Communicating Research Projects to Citizens?

was written by Alexandra Simperler, Laura Waslmayr, Xiran Dong, Ernst-Dieter Janotka, Gerhard Goldbeck and Nadja Adamovic.

ScienceComm_paper

Or to view the paper, click here.

ScienceComm_OntoTransArt

Or to view the accompanying artwork, 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 862136 (OntoTrans)