The Vrije Universiteit Brussel (VUB) nests the Mobility, Logistics and Automotive Technology Research Centre (MOBI) and is a leader in electro-mobility, sustainable mobility and logistics research. It develops electric and hybrid vehicles technologies and evaluates new concepts in mobility and logistics on their sustainability. Over the past 5 years the group participated in 35 EU projects, 45 projects with the industry and 85 projects funded by national organizations.
At the VUB, the MOBI research center has a leading position in electromobility, thanks to its experience of over 40 years in alternative fuels, electric, hybrid and fuel cell vehicles R&D. The center possesses state-of-the-art infrastructure and models for the testing, development and design of components – batteries, supercapacitors, power converters -, vehicle powertrains, and inductive and conductive charging infrastructure.
MOBI research group develops advanced power electronics interfaces (DC/DC converter, inverter, V2X system) for different vehicle and stationary applications, including the smart energy management systems. MOBI also develops a design framework tool for efficient and compact drivetrain systems, using a scalable simulation platform, emerging technologies (SiC and GaN) and control strategies, and according to multiple objectives such as efficiency, cost, power or energy density, reliability and thermal management. This tool is integrated and translated in a Digital-Twins Platform (DT-P) for drivetrains. MOBI provides a full vehicle testing and characterization via open-vehicle platform for testing characterizing all drivetrain components via both hardware in the loop (HiL), software in the loop (SiL), component in the loop (CiL) and power module in the loop (PMiL).
Role in the project
In the iSTORMY project, the VUB has been assigned the role of coordinator and the lead of Result 3: Modular Power Electronics Interfaces. In this WP, the VUB will develop the modelling framework of the PE interfaces designed by Zigor and PRODRIVE. Digital twins and failure prediction mechanisms will be further developed based on prototype testing data. Also, the VUB will investigate low-level control methods for self-healing functionalities linked to the use case requirements. In Result 4, they will contribute to the EMS algorithm for the use case with a high-level charging management system (HL-CMS). Also, VUB will be responsible for developing fast EMS online machine learning data-driven algorithms, based on aging maps from the battery system and failure mechanisms from the PE interface. The VUB will also support the demonstration at Concept Grid in Result 5 for the two use cases.