The demand for advanced battery management systems (BMSs) and battery test procedures is growing due to the rising importance of electric vehicles (EVs) and energy storage systems. The diversity of battery types, chemistries and application scenarios presents challenges in designing and optimizing BMSs and determining optimal battery test strategies. To address these challenges, semantic web technologies and ontologies offer a structured and common vocabulary for information sharing and reuse in battery management and testing. This work introduces the Battery Testing Ontology (BTO), a standardized, comprehensive, and semantically flexible framework for representing knowledge in electrical battery testing and quality control. BTO models a variety of electrical battery cell tests, specifying required test hardware and calibration procedures, mechanical fixturing of batteries, and referencing electrical measurement data. For example, it supports electrochemical impedance spectroscopy, self-discharge and high-voltage separator tests, the latter specifically demonstrating separator requirements, hardware specifications, and measurement details. Positioned within the ontology ecosystem of materials science, BTO aligns with the Elementary Multiperspective Material Ontology (EMMO) and related domain ontologies such as the Characterization Methodology Ontology (CHAMEO). This work elaborates on BTO’s development, structure, components and applications, highlighting its significant contributions to the field of battery testing.

中文翻译：

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电池测试本体：基于 EMMO 的语义框架，用于表示电池测试和电池质量控制中的知识


由于电动汽车 （EV） 和储能系统的重要性日益增加，对先进电池管理系统 （BMS） 和电池测试程序的需求正在增长。电池类型、化学成分和应用场景的多样性为设计和优化 BMS 以及确定最佳电池测试策略带来了挑战。为了应对这些挑战，语义 Web 技术和本体为电池管理和测试中的信息共享和重用提供了一个结构化的通用词汇表。这项工作介绍了电池测试本体 （BTO），这是一个标准化、全面且语义灵活的框架，用于表示电池测试和质量控制中的知识。BTO 对各种电池单元测试进行建模，指定所需的测试硬件和校准程序、电池的机械固定以及参考电气测量数据。例如，它支持电化学阻抗谱、自放电和高压隔膜测试，后者专门演示隔膜要求、硬件规格和测量细节。BTO 定位于材料科学的本体生态系统中，与基本多视角材料本体 （EMMO） 和相关领域本体保持一致，例如表征方法本体 （CHAMEO）。这项工作详细阐述了 BTO 的开发、结构、组件和应用，突出了其对电池测试领域的重大贡献。