From Data to Digital Twins: High-Quality Data for Battery Modeling

Digital twins are virtual representations of physical battery systems that simulate real-world behavior. This white paper explains how high-quality experimental data forms the foundation for reliable battery models—from basic OCV models to advanced electrochemical and thermal simulations. It outlines instrumentation requirements, temperature control, and validation protocols. Applications include system design, safety analysis, and CAD/CAE integration. Critical topics such as model boundaries, validation, and safety risks are addressed, along with best practices for model maintenance. The key message: only accurate data enables safe and effective use of digital twins—for research, development, and industrial deployment.