CICe21: Investigación en modelos materiales y componentes para la futura generación de baterias en movilidad
POLYMAT - Basque Center for Macromolecular Design and Engineering
University of Mondragon
Objective:This project proposes to use predictive simulation to address this challenge. The ultimate goal is to make realistic predictions capable of contributing significantly to the development of the material and cell architecture of future generation (Gen3b) industrial battery prototypes. To this end, different advanced modelling and simulation tools will be implemented and combined to accurately describe the characteristics of a battery at all relevant physico-chemical levels: materials, electrodes and cells. This approach is expected to be able to significantly reduce the number of experimental tests required in current characterisation protocols. This would allow guiding the overall design of batteries towards their next generations in a faster and cheaper way than with current iterative experimental methods. Models will be developed at atomistic, mesoscopic and continuum levels, in a multi-scale, systematic and standardised way. Progress will be achieved in a highly dynamic interaction combining material characterisation, innovative modelling and experimental validation. This approach will achieve the following specific objectives: 1) Accurately simulate key physico-chemical phenomena influencing battery performance at the atomistic level. The results will then be transferred to continuous models. Specific sub-objectives are to develop and validate atomistic models capable of: (i) simulate realistic charge transfer processes and their dynamics in electrolytes and interfaces; (ii) simulate how lithium ions accumulate and intercalate at heterogeneous interfaces; (iii) describe the formation of solid-electrolyte interface (SEI) layers. 2) Obtain material parameters (e.g. intercalation rates versus lithium ion concentration, ionic conductivities dependent on ion concentration and temperature, etc.) and improved models for mesoscopic simulations at the cell level. 3) Develop advanced continuum models, both electrochemical and thermal, that accurately simulate cell-level behaviour and that can be used to improve battery performance under non-standard conditions (high/low temperatures, prolonged cycling, etc.). This implies including multi-physics effects, based on physico-chemical equations and improved inter-material relationships, derived from the constant transfer of atomistic and mesoscopic phenomena to the continuous scale. 4) Validate the models by systematic and standardised measurements of basic input parameters, using experimental characterisation in different domains (time-frequency) with a variety of loading cycles designed to measure and improve the robustness of the models. 5) Practical use of the new generation cells requires the design and assembly of modules/packs to achieve the voltage and current levels required by a target application. The operating range of temperatures and thermal power generated can vary significantly from generation to generation. Advanced thermal management based on the use of dielectric liquids will be designed and experimentally validated to easily adapt the cooling power to the new thermal requirements.
MATH4SPORTS - Modelización matemática para la industria deportiva: salud y rendimiento
MATH4SPORTS seeks to transfer applied mathematics as a driving technology to the field of the sports industry, with a high potential for technology transfer to start-ups, professional clubs, researchers and other agents in the innovative environment of Bizkaia.
M-KONTAK - Investigación de los Fenómenos Asociados al Contacto Metal-Metal en Tecnologías de H2 a Alta Presión
The main objective of the M-KONTAK project is to gain an in-depth understanding of the failure modes and their effect on metallic materials and the surfaces of threaded joints in candidate technologies for high-pressure H2 effect on the metallic materials and surfaces that make up the threaded jo
KAIROS - Digitalización predictiva del comportamiento a largo plazo de materiales poliméricos composites. Empleo de IA, modelización basada en la física y metodologías de aceleración de ensayos
KAIROS was created with the main objective of researching and obtaining a solution that allows multi-scale digitisation combined with ML and accelerated testing methodologies, for the study of the long-term behaviour (creep, fatigue, ageing) of polymeric materials applicable, for example, to the
CHARGER+ - Nueva Generación de Puntos de Recarga de Vehículo Eléctrico con Funcionalidades Autónomas y Colaborativas e Impacto Cero
The general objective of the CHARGER+ project is to generate the necessary knowledge to define a new generation of electric vehicle (EV) charging points, so that the related Basque companies (electricity companies, charging post installation companies and charger manufacturers) will be in an adva