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Deliverables

  • D1.3: Requirements and Specifications for Digital Twins
  • D2.1: Use case specific battery testing boundary conditions and DOE methods
  • D3.1: Multiscale high-fidelity modelling paradigm for physical testing virtualization
  • D4.1: Safety and reliability AI powered battery toolchain architecture and framework design
  • D5.1: Ontology definition and Data Mapping of Virtual Assets
  • D6.1: Resource scheduling concept
  • D6.2: Scheduling Software Solution
  • D6.5: Real-time connection of physical and virtual bench
  • D7.1: Dissemination and communication plan
  • D7.4: Update dissemination and communication plan
  • D8.1 Data Management Plan
  • D8.2: Data Management Plan

Scientific Contributions

  • Towards Developing an Ontology for a Digital Twin in Battery Testing

 

 

 

Co-funded by the European Union under grant agreement N° 101103755 and by UKRI under grant agreement No. 10078013, respectively. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Climate, Infrastructure and Environment Executive Agency (CINEA). Neither the European Union nor CINEA can be held responsible for them.

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