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 Figure 1) 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).
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.
To read the full, open-access paper visit: https://doi.org/10.1016/j.compind.2024.104203
Written by BatCAT partners Vikki Cantrill and Gerhard Goldbeck,
Goldbeck Consulting
Acknowledgement:
This work has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 952869 (NanoMECommons).