COLLABORATIVE DEVELOPMENT FRAMEWORK FOR ELECTRIC SOFTWARE-DEFINED VEHICLES

The project in a nutshell

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.

The project key objectives include the elaboration of digital design tools and a trustworthy development methodology for electric SDVs, improving the efficiency and reliability of SDV architecture component sharing, and accelerating validation processes.

CODE4EV plans to develop virtual, hybrid and full-scale demonstrators of electric SDVs for different vehicle categories, focusing on efficient verification procedures and the evaluation of the scalability of the CODE4EV approach. These efforts aim to ensure compatibility and efficiency for a range of vehicle types, including heavy-duty trucks and L-class EVs, thereby making an important contribution to the promotion of zero-emission mobility solutions

Use Case I – Data-driven EV Optimisation

Use Case I has two targets: from the side of EV engineering, the focus is on new methods of the powertrain control with enabled optimisation using AI components based on the analysis of the actual on-board data and collected historic data about the EV operation; from the side of the SDV architecture, the goal is to demonstrate the implementation of the vehicle-to-cloud (V2C) services for improving EV efficiency. The project will use an original V2C service that will be adopted to the CODE4EV SDV architecture.

More about Use Case I

Use Case II – EV Health Monitoring and Predictive Maintenance

The second Use Case has focus on chassis and powertrain health monitoring with mixed on-board and cloud-based diagnosis. The component level introduces a set of sensor fusions for the vehicle systems. Both common vehicle sensors and additional soft sensors are being used for the monitoring. The strategy of the health monitoring in CODE4EV is targeting continuous analysis of operational states of brake, chassis, battery, and powertrain systems as especially relevant for EV.

More about Use Case II

Use Case III – Smart Motion Control

This Use Case deals with safety-critical functions and should demonstrate benefits of SDV concepts and AI-based control approaches for vehicle dynamics control realised by systems as ESP, torque vectoring et al. At that the vehicle should not only demonstrate required driving safety but also increase of energy efficiency through integrated operation of powertrain and chassis systems with smart redistribution of control efforts.

More about Use Case III

Work Packages

The project distributes its work over 9 workpackages. The first two preparing the research. WP3 integrates the CODE4EV environement. WP4, WP5 and WP6 are working on the three different use cases. WP7 consolidates the results from the Use Cases. WP8 is concerned with the dissemination, communication and exploitation part of the project and WP9 is responsible for project management.

Check out our Team

Collaborative Framework Specification
WP1
Architecture of Electric SDV
WP2
Integration of CODE4EV Environment
WP3
Use Case: Data-driven EV Optimisation
WP4
Use Case: EV Health Monitoring and PM
WP5

Use Case: Smart Motion Control
WP6
Consolidation and Replication
WP7
Dissemination, Communication and Exploitation
WP8
Project Management
WP9

Our Consortium

The project brings together 15 esteemed partners from nine European countries, each contributing their unique expertise and innovative approaches to tackle the pressing challenges facing our communities in this evolving sector. This collaborative effort aims to drive the development of SDVs that not only meet the demands of today but also anticipate the needs of tomorrow.

Words from our consortium

“Our goal is to shape a strong CODE4EV contribution to a foundation for industrial-grade design of electric software-defined vehicles. In this regard, collaborative development framework, as key element of project, integrates interoperable toolchains, model-based engineering, data-driven control methods, and vehicle-to-cloud services to ensure end-to-end traceability and trustworthy validation. Grateful for the consortium’s dedication and looking forward to collaborations that accelerate R&D on new SDV systems.”

Dr. Valentin IvanovProject Coordinator–TU Ilmenau

“It’s a pleasure to work on this innovative project with my whole team and explore new ideas that could potentially revolutionize e-mobility.”

Dr. Eric ArmengaudInnovation Manager–Armengaud Innovate GmbH

“As ULille, we are eager to contribute to CODE4EV, bringing our expertise in EMR formalism and XiL testing methods to drive innovation. With a strong background in various electrified vehicles, we collaborate to develop impactful solutions. Let’s drive the future of electrified mobility together through electric SDV!”

Dr. Walter LhommeElectrical Engineer–University of Lille

“We at ITA believe in the power of technology and collaboration for the evolution of the society. Software Defined Vehicles means rethinking the automotive industry and the fruits of this new paradigm will surely push the boundaries of Mobility. We are fond of taking part in Code4EV challenge with our expertise in Model Based System Engineering and Control Technology.“

Esther BoraoDirector General–Instituto Tecnológico de Aragón