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Multi-level modelling and testing of electric vehicles and their components

 

Proposals should address one or several of the following aspects:

―Investigations on scalable real-time models for e-drive components (e-motor, batteries, inverters, fuel-cell, etc. ) that seamlessly can be used for design, simulation, diagnosis and testing based on existing models and corresponding test and modelling procedures to automatically identify parameters of these models.

―Development of heterogeneous testing facility for electric traction drive and storage system that enable the functional optimisation, testing and diagnosis of new e-drive concepts at higher frequencies and voltages.

―Development of systems and methods to assess reliability, energy content and commercial certainty for battery systems at all levels of technology, from cell via packs, vehicles to recycling.

―Investigation on reliable and automated methods and procedures for parameter identification of physical and/or empiric models of batteries (state of charge and health, lifetime, etc.). Potential for international cooperation in establishing standard procedures should be explored.

―New tools and methods integrated with control development for improving safety analysis and reducing costs.

The Commission considers that proposals requesting a contribution from the EU of between EUR 4 and 10 million each would allow this specific challenge to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals requesting other amounts.

Detailed modelling and testing at component and sub-component level (for instance in electrochemistry and electromagnetics) can be used to improve the understanding and design capabilities for higher performance and lower cost, allowing to recover or maintain technological leadership in key sectors of the EV value chain. Whenever the knowledge is fragmented, a truly European effort is preferred to help shorten the development and validation time of the tools. New technologies and new materials will enable further improvements in EV-efficiency but will also add complexity in control, calibration and safety analysis. Novel tools are required particular for covering the entire chain of integration into vehicles and subsystems. Consequently there is a need for advanced testing methods and tools as well as scalable and easy to parameterise real-time models for usage in different development environments in order to ensure safety and improve efficiency of future EVs and hence reducing development and testing efforts significantly.

Actions on new testing and simulation tools and methods will lead (depending on the chosen scope) to a:

―Reduction of development and testing efforts for e-drivetrains by 40%

―Improved efficiency of e-drivetrains under real driving conditions by 20%, which will contribute to climate action and sustainable development objectives.

―Improved powertrain safety for all types of electrified vehicles by a factor of 10 with no additional expenses in safety studies.

―Increased collaboration between firms and academia and other projects with similar research activities and further leverage the EV-development ecosystem in Europe.