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OBELICS

The OBELICS project addresses the urgent need for new tools for multi-level modelling and testing of EV and their components to deliver more efficient vehicle designs faster, while supporting modularity to enable mass production and hence greater affordability through production cost reduction.



Publié le 3 mai 2021



Optimization of scalaBle rEaltime modeLs and functIonal testing for e-drive ConceptS


The OBELICS project addresses the urgent need for new tools for multi-level modelling and testing of EV and their components to deliver more efficient vehicle designs faster, while supporting modularity to enable mass production and hence greater affordability through production cost reduction.



 

Starting date : Oct. 2017 > Sep. 2020
 

Lifetime: 36 months


Program in support : H2020-EU.3.4


 

Status project : complete


CEA-Leti's contact :

Marco Ranieri

Bernard Strée


 


Project Coordinator: AVL List GMBH (AT)

Partners:  

  • AT: AVL List GMBH, FH Joanneum Gesellschaft, Kompetenzzentrum - Das Virtuelle Fahrzeug, Forschungsgesellschaft mbH (Vitual Vehicle)
  • BE: Vrije Universiteit Brussel, Siemens Industry Software NV
  • DE: AVL Software and Functions GmbH, Bosch GmbH, Fraunhofer Gesellschaft zur Foerderung der Angewandten Forschung E.V.(FhG-LMB)
  • FR: CEA, Siemens Industry Software SAS, Valeo Equipements Electriques Moteur SAS, Renault Trucks SAS
  • GB: University of Surrey
  • IT: Universita degli Studi di Firenze, Centro Ricerche Fiat SCPA (CRF)
  • NL: Uniresearch BV
  • SI: Univerza V Ljubljani
  • TR: Ford Otomotiv Sanayi Anonim Sirketi


Target market: n/a



Publications:

  • «Electronic module for the thermal monitoring of a Li-ion
    battery cell through the electrochemical impedance
    estimation», M. Ranieri, et al., Microelectronics Reliability,
    Volume 79, December 2017, Pages 410-415.

  • «Tracking of electrochemical impedance of batteries»,
    H. Piret, P. Granjon, N. Guillet, 2016, Journal of Power
    Sources,Volume 312, 30 April 2016, Pages 60-69.




Investment:  € 9.1 m.

EC Contribution€ 9.1 m.



Website


Stakes

CEA-Liten and CEA-Leti have established close cooperation in the OBELICS project to fulfill the following project tasks:

  • CEA-Liten: development of innovative, enhanced mathematical and electrical models for motor and battery-cell representation and simulation; development and testing of a dedicated embedded system (MCU-based) capable of measuring the electrochemical impedance of a Li-ion cell under active excitation and independently of the vehicle inverter.

  • CEA-Leti: ensuring that algorithms at the basis of cell excitation and impedance measurement are adjusted to the selected cell; provided more algorithms to exploit the impedance measurement and the assumptions to be taken from the cell model for development of a new approach to battery safety assessment by exploiting the most meaningful parameters. From broader standpoint, OBELICS is developing innovative, reliable modelling approaches based on first principles (using mechanistic, physical, electrochemical, electro-thermal and electromagnetic models), which are real-time capable and allow for the systematic scalability towards real-time models that are developed within the project scope. The project ensures model compatibility of different components and development levels-phases.

The underlying concept of OBELICS is to implement systematic modelling and testing (and corresponding corrections) of a system from the initial phase onwards. In traditional design flows, there can be no systematic testing of the entire system until it has been fully implemented. Design problems therefore remain hidden until late in the system development, at which point their remediation is significantly more costly and disruptive. Shifting to model-based testing, as envisioned within OBELICS, enables engineering teams to understand more readily design change impacts, communicate design intent and analyze a system design before it is built.

OBJECTIVES

  • The impact of global warming is becoming increasingly clear and the environmental impact of conventional fossil-fueled vehicles is now under the close scrutiny of both the authorities and the public. Electric vehicles and electrified transportation are emerging as the only sustainable alternative to preserving the environment and guaranteeing the mobility needs of the future. Although the switch from conventional to EV represents a major challenge for the automotive industry, with significant obstacles still to be overcome, it also represents a major market and employment opportunity for the entire supply chain. Before mass deployment of EVs can become a reality, it is crucial to guarantee that their real operational performance, safety, reliability, durability and affordability is at least comparable to those conventional vehicles. Today’s state-of-the-art EVs do not reach these targets because of the limited technical maturity of key components (e.g. batteries) and insufficiently available know-how and tools in all areas including testing and simulation. Today, industrial R&D must focus on bringing new, improved mass-production compliant vehicles to the market rapidly, implementing advanced components and architectures for higher operational efficiency.
    In this context, the OBELICS project addresses the urgent need for new tools to allow multi-level modelling and testing of EVs and their components to deliver more efficient vehicle designs faster, while supporting modularity to enable mass production and hence greater affordability. OBELICS is targeting a step change in performance (+20%, i.e. from 100 Wh/kg to 120 Wh/kg),
    efficiency (+20%), safety (+ factor of 10) and service life (+30%, i.e. from 100,000 km/8 years to 130,000 km years/11 years) of e-drivetrains and development time (- 40%, i.e. from 5 years to 3 years) and efforts (-50%, i.e. from 100 fte and 30 M€ to 50 fte and 15 M€).


IMPACT

  • The overall aim of the OBELICS project is to develop a systematic and comprehensive framework for the design, development and testing of advanced e-powertrains and EV line-ups. This will curtail development efforts by 40%, while improving efficiency of the e-drivetrain by 20% and increasing safety by a factor of 10, using OBELICS’ advanced heterogeneous model-based testing methods and tools along with scalable, easy-to-parameterize, real-time models.