Communication Dans Un Congrès Année : 2024

Toward Anomaly Representation in Lithium-Ion Batteries: An Ontology-Based Approach

Résumé

In today's energy-dependent world, ensuring the safety and efficiency of lithium-ion batteries is crucial. Early representation of anomalies becomes essential for optimizing performance, reducing disruptions, and prolonging battery lifetime in electric vehicle applications. This objective necessitates the integration of data from distributed and heterogeneous sources, a challenge traditionally tackled by semantic web technologies. In response, this paper introduces an ontology-based model that capitalizes on representing anomalies in lithium-ion batteries. Ontologies play a vital role in representing knowledge in a machine-interpretable format. Our approach enriches sensor data with contextual information, employing structured concepts, rules, and semantics specifically designed for representing anomalies in lithium-ion batteries.

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hal-04907458 , version 1 (23-01-2025)

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Marwa Zitouni, Franco Giustozzi, Ahmed Samet, Tedjani Mesbahi. Toward Anomaly Representation in Lithium-Ion Batteries: An Ontology-Based Approach. 28th International Conference on Knowledge Based and Intelligent information and Engineering Systems (KES 2024), Sep 2024, Seville, Spain. pp.1319 - 1328, ⟨10.1016/j.procs.2024.09.563⟩. ⟨hal-04907458⟩
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