SDVoF Initiative R&I projects
SDVoF Initiative Research and Innovation Projects supported by or in collaboration with FEDERATE
HAL4SDV
HAL4SDV – Hardware Abstraction Layer for a European Software Defined Vehicle is a Chips-JU funded research and innovation action (RIA). This ambitious project, coordinated by Andreas Eckel from TTTech Computertechnik AG, is driven by anticipated advancements in microelectronics, communication technology, software engineering, and AI to tackle the “4 Ss: Systems, Safety, Security and Software”.
Find out more about HAL4SDV at https://www.hal4sdv.eu/
Shift2SDV
The project Shift2SDV is a Chips-JU funded research and innovation action (RIA) that will define, coordinate and develop a common language independent middleware framework. It focuses the topics SDV middleware, API and a framework flexible micro-services-based architecture. The consortium consists of 73 partners and 8 associated partners that will be coordinated by Maik Fuchs from Accenture.
CODE4EV
The CODE4EV project aims to accelerate the development of electric software-defined vehicles (SDVs) by establishing a collaborative development framework. This framework will support the design, production and operational phases of electric vehicles (EVs) by demonstrating its application through selected Use Cases relevant to emerging and future SDV architectures.
Website: www.code4ev.eu
LinkedIn: https://www.linkedin.com/company/code4ev/?viewAsMember=true
TWIN-LOOP
The TWIN-LOOP Project “ TwinOps and vehicle specific Digital Twin for Software Defined EVs”, Funded by the European Union under the Horizon Program, started in January 2025 with a total budget of 5 M€, involving a Consortium of 13 partners led by Mosaic Factor, TWIN-LOOP builds on a new opportunity on computational capacity of clouds and vehicles due to the implementation of High-Performance Computing combined with digitisation of Electric Vehicles (EVs)under the SDV architecture.
In its 36 months the TWIN-LOOP will develop an Open Framework for TwinOps for EVs along with a suite of digital tools aimed at continuously improving Energy Consumption, Hardware Costs, Driver Experience and Vehicle Resiliency across the four stages of the vehicle lifecycle. The project will implement the Open Framework, integrate with EV specific tools and assess their effectiveness in realistic conditions across three different use cases, identified for their relevance to the topic.
Website: TwinLoop
LinkedIn: TwinLoop Project: About | LinkedIn