Wide global deployment of EVs is necessary to reduce transport related emissions, as transport is responsible for around a quarter of EU greenhouse gas (GHG) emissions, and more than two thirds of transport-related GHG emissions are from road transport. OBELICS addresses the...
Wide global deployment of EVs is necessary to reduce transport related emissions, as transport is responsible for around a quarter of EU greenhouse gas (GHG) emissions, and more than two thirds of transport-related GHG emissions are from road transport. OBELICS addresses the urgent need for new tools for model-based development and testing of EVs and their components to accelerate more efficient vehicle designs while providing the necessary modularity and affordability through mass production. The overall objective of OBELICS is to explore a systematic and comprehensive framework for the design, development and testing of advanced E-Powertrains, while reducing development effort by 40%, improving powertrain efficiency by 20% and increasing safety by a factor of 10. For this purpose, heterogeneous, model-based test methods and tools are developed, which work with scalable and easy to parameterize real-time models. OBELICS will provide a significant toolchain to reduce the development effort and cost of electric vehicles while increasing efficiency and reliability. Thus, OBELICS significantly contributes to making EV´s efficient and affordable.
• Development of novel methodologies for specifying and analysing requirements with new models and testing methods;
• Detailed specification and development of realistic use cases (four engineering domains) and metrics for guiding development of new methods and tools for testing and modelling of electric/hybrid vehicles and components with a particular focus on battery, electric machine and inverter components;
• Deriving modelling and model-integration requirements from use-cases and development of improved models for e-powertrain components, and a workflow for model-integration to enable powertrain design, integration, calibration and optimization tasks.
• Advanced methodologies and strategies for assessing functional safety, reliability and safety, e.g. by introducing probabilistic FMEA for safety and reliability assessment;
1. Design EV for real world operations
Within OBELICS 17 Use Cases led by the Industries and research institutes are defined – focusing on testing methods, modelling methodologies and system simulation - to support and improve the vehicle design & development process, in particular, to reduce development efforts, optimize overall system performance and improve safety. Innovations developed within such use cases will enabling faster adoption of EVs. 4 use-case clusters have been formed, to represent typical engineering areas in the EV development process, which will be used to demonstrate and validate the ambitious goals of the project.
Through the use cases, OBELICS investigates the benefit of advanced design methodologies and workflows to support alternative/new electric powertrain architecture exploration, system sizing, component design analysis and virtual system integration optimization at vehicle level in early project phase under real world conditions for robust powertrain concept selection.
2. Safety and Reliability assessment
Within OBELICS a new assessment method and a prototype tool for safety and reliability, the so called probabilistic FMEA (probFMEA), has been developed. In contrast to the classical FMEA, it is possible to introduce and handle quantitative probabilities for potential failures on component level. Consequently, the tool can calculate entire system failure probabilities which are necessary to create metrics allowing for reliability as well as safety assessment. This method is therefore important for supporting the development process of power train subsystems to reach and to monitor the defined safety and efficiency goals. Together with the multi-physical assessment of battery systems on mechanical, thermal and electrical level, this method will allow significant improvements in safety and reliability of battery systems in modern EV\'s.
Further, the ambition is to produce a comprehensive approach for a virtual reliability testing environment including thermal degradation of insulation and partial demagnetisation in E-motors for electric vehicles. Finally, a comprehensive methodology for probabilistic failure modelling and assessment based on component failures for system reliability and functional safety in a comprehensive failure model will be delivered. Together, these methods will enable safe and reliable innovations relevant for the development of electric vehicles and numerous other development challenges.
3. Optimized Future EVs through advanced integration
OBELICS has defined simulation software interfaces, coupling methods and model port-types to support heterogeneous EV component model integration while maximizing tools interoperability, confidence in results and numeric stability. Advanced interfaces will cover integration, co-simulation with RT and HiL coupling, aiming at maximum interoperability and openness. OBELICS has defined and refined 5 different use-cases to demonstrate the capabilities of the model integration and assessment platforms for new fully integrated EV architectures (electric, electronic, thermal, chassis). Consequently, OEMs and tier 1 suppliers will be able to push another generation of more efficient and affordable electric vehicles beyond current state of the art. This will enable new co-engineered, multi-viewpoint optimized combined components and vehicle controls, to achieve higher overall vehicle performance, both for conventional and automated operations.
4. Development of scalable real-time models for e-drive components
Innovative simulation models and accompanying tools and methods that are developed within the OBELICS project are one of the key enablers for the development of new EV architectures and their subsystems that feature increased efficiency and simultaneously fulfil customer demands. Moreover, these innovative multi-domain and multi-physical models, tools and methods more efficiently support frontloading in the development process through h
More info: http://www.obelics.eu.