A digital twin of a hybrid battery pack will be developed to facilitate the transition from BMS to Digital BMS, with the ability to process more data and utilize complex models for accurate estimations and predictions of battery status.
Objectives
The main objective of DIGIBAT project is the design and development of digital twins for the characterization and prediction of complex and hybrid battery systems, enabling accurate estimation of battery status (state of charge, state of health) and improved management strategies through the integration of novel sensor networks and artificial intelligence algorithms, to optimize its performance in stationary and electric mobility applications.
Our rol
NVISION will coordinate the project and will be also responsible for the design and development of an IoT platform for battery pack monitorization and a digital twin to manage hybrid battery system.
Grants for public-private collaboration projects under the State Plan for Scientific, Technical, and Innovation Research 2021-2023, within the framework of the Recovery, Transformation, and Resilience Plan.