Fast-track hybrid testing platform for the development of battery systems

Project Information

FASTEST

Grant agreement ID: 101103755

DOI

10.3030/101103755

EC signature date 30 March 2023

Start date 1 June 2023

End date 31 May 2026

Funded under

• Climate, Energy and Mobility

Total cost

€ 4 781 008,71

EU contribution

€ 4 781 008,71

Coordinated by

AVESTA HOLDING
Belgium

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Deliverables

Documents, reports (11)

D1.3 Requirements and Specifications for Digital Twins

This deliverable will present the listed requirements and specify the DTs to be used in the virtual testing plan.

D8.1 Data Management Plan

Description of the data management life cycle for the data to be collected, processed and/or generated during the project. The data will be collected in a specific database according to the rules of tracebility.

D6.5 Real-time connection of physical and virtual bench

This deliverable will describe the concept work, implementation, stabilization, testing, and real-life validation of a connection between a physical and virtual test bench in the cloud. Therefore, the first matching and feasible technologies for the connected execution of a test in the virtual and physical domains will be investigated.

D4.1 Safety and reliability AI-powered battery toolchain architecture and framework design

This deliverable will demonstrate the design, which will contain the fundamental architecture of the toolchain, input and output parameters, and interfaces with other components of the DT according to the different types of domains. In addition, the needs specifications included in WP1 and WP2 serve as the foundation for the baseline of the toolchain.

D2.1 Use case specific battery testing boundary conditions and DOE methods

This deliverable will provide the formulation of the objectives, success criteria and boundary conditions of the three project use cases automotive, off-road and stationary battery systems. Additionally, DoE approaches and methods are summarized and evaluated.

D6.2 Scheduling software solution

The mathematical descriptions for the examination and selection of appropriate optimization technologies will be presented in this deliverable. Also, the optimization methods and the best matching methods will be put into place as a prototype in order to make D6.1 work as a software module.

D7.4 Update dissemination and communication plan 1

This deliverable includes the actions developed during the first period in terms of dissemination and communication

D3.1 Multiscale high-fidelity modelling paradigm for physical testing virtualization

This deliverable will determine the different multiscale high-fidelity modelling paradigms that allows the physical testing virtualization of performance and ageing testing. As the main output to the deliverable, the modelling approach that best suits the project and case studies will be defined.

D6.1 Resource scheduling concept

This deliverable investigates whatever daily actions are performed today to do test resource scheduling in a test centre to efficiently utilize available hardware, resources, test requirements, boundary conditions, and other restrictions. As a result of this deliverable, representative task descriptions, test data, and real-life events are taken into account.

D5.1 Ontology definition and Data Mapping of Virtual Assets

This deliverable will describe and set the ontology principles, based on industry similar pre-existing standards, thus, allowing the definition of the vocabulary and characterizing the type of entities that exist in the environment. This will allow the identification of sources and relationships, as well as outline the Data to be fed to the DTs.

D7.1 Dissemination and communication plan

This deliverable will describe a primary Communication and Dissemination plan that will contain the main strategy for the project lifetime, as well as the expected activities to be carried out throughout the project. It will be updated on M18 and 36 to include the actions developed during those periods

Intellectual Property Rights

Patent (1)

Testsystem zum Verteilen von Tests auf Simulationsrechner und Prüfstände unter Verwendung statistischer Versuchsplanung

Application/Publication number: 10 2023133703
Date: 2023-12-01
Applicant(s): FEV IO GMBH