Por Elixabete Ayerbe | Team Leader del Equipo de Modelización y Postmortem Analysis |
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This movement is further supported by the digital wave, where automation, artificial intelligence, and data analytics contribute to the acceleration of new developments. In this regard, CIDETEC Energy Storage has long been committed to the development and implementation of digital solutions to advance battery technologies. Recently, it launched the digital platform PROTEO, which accelerates cell development and marks a significant milestone in innovation and efficiency within the energy sector. PROTEO, based on multiphysics models, artificial intelligence, and a dynamic database, offers a revolutionary approach to the construction, testing, and optimization of cells. The platform consists of three modules: PROTEO Design, based on thermo-electrochemical-mechanical models, allows users to virtually design and optimize cells from scratch, providing insights into cell design, identifying optimal conditions for SEI formation, and detecting potential failure modes throughout their lifespan PROTEO Prediction, supported by AI, predicts the lifespan of a battery cell based on electrode characteristics, cell design, and usage profiles, accelerating the testing and validation phase PROTEO Data Analytics, which automatically collects data from various sources for efficient management and visualization. |