Summary
Today’s battery development is impeded by a lack of virtualization, resulting in cost-and time-intensive physical verification and validation (V&V) activities. AccCellBaT addresses these shortcomings by substantially advancing virtualization, front-loading, and continuous V&V in future technology battery development to optimize battery design, cost, and time-to-market.
Focusing on beyond state-of-the-art cell chemistry, novel physics-based and data-driven simulation models are developed to determine performance, lifetime, reliability, and safety of battery sub-systems. To ensure model applicability and high confidence, these models are accompanied by novel in-live model parameter measurement techniques, and by upscaling methods to scale cell models up to battery system models. Models and measurement data are synthesized to digital twins to be utilized in V&V.
To advance front-loading, tests of these digital twins are merged with physical tests in a novel hybrid design verification and validation plan (hybrid DVP) methodology. To objectively quantify and ensure the confidence of test results, a tailored confi-dence index methodology for approval of the hybrid DVP is introduced. Based on Systems Engineering principles, processes and methods currently used by AccCellBaT consortium members are combined with the hybrid DVP and optimized to create a process-and-method manual applicable for future battery development. These building blocks of the full AccCellBaT methodology are implemented in a development tool, which provides an inte-grated development environment for management, planning and execution of battery V&V. The tool supports practitioners in development and significantly increases the level of process automation.To ensure validity and applicability of the AccCellBaT methodology across industries, the methodology is validated by two original equipment manufacturers (representing via automotive and stationary application a crucial share on battery system market).
Focusing on beyond state-of-the-art cell chemistry, novel physics-based and data-driven simulation models are developed to determine performance, lifetime, reliability, and safety of battery sub-systems. To ensure model applicability and high confidence, these models are accompanied by novel in-live model parameter measurement techniques, and by upscaling methods to scale cell models up to battery system models. Models and measurement data are synthesized to digital twins to be utilized in V&V.
To advance front-loading, tests of these digital twins are merged with physical tests in a novel hybrid design verification and validation plan (hybrid DVP) methodology. To objectively quantify and ensure the confidence of test results, a tailored confi-dence index methodology for approval of the hybrid DVP is introduced. Based on Systems Engineering principles, processes and methods currently used by AccCellBaT consortium members are combined with the hybrid DVP and optimized to create a process-and-method manual applicable for future battery development. These building blocks of the full AccCellBaT methodology are implemented in a development tool, which provides an inte-grated development environment for management, planning and execution of battery V&V. The tool supports practitioners in development and significantly increases the level of process automation.To ensure validity and applicability of the AccCellBaT methodology across industries, the methodology is validated by two original equipment manufacturers (representing via automotive and stationary application a crucial share on battery system market).
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| Web resources: | https://cordis.europa.eu/project/id/101103628 |
| Start date: | 01-04-2023 |
| End date: | 31-03-2026 |
| Total budget - Public funding: | 4 980 428,75 Euro - 4 980 428,00 Euro |
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Original description
Today’s battery development is impeded by a lack of virtualization, resulting in cost-and time-intensive physical verification and validation (V&V) activities. AccCellBaT addresses these shortcomings by substantially advancing virtualization, front-loading, and continuous V&V in future technology battery development to optimize battery design, cost, and time-to-market.Focusing on beyond state-of-the-art cell chemistry, novel physics-based and data-driven simulation models are developed to determine performance, lifetime, reliability, and safety of battery sub-systems. To ensure model applicability and high confidence, these models are accompanied by novel in-live model parameter measurement techniques, and by upscaling methods to scale cell models up to battery system models. Models and measurement data are synthesized to digital twins to be utilized in V&V.
To advance front-loading, tests of these digital twins are merged with physical tests in a novel hybrid design verification and validation plan (hybrid DVP) methodology. To objectively quantify and ensure the confidence of test results, a tailored confi-dence index methodology for approval of the hybrid DVP is introduced. Based on Systems Engineering principles, processes and methods currently used by AccCellBaT consortium members are combined with the hybrid DVP and optimized to create a process-and-method manual applicable for future battery development. These building blocks of the full AccCellBaT methodology are implemented in a development tool, which provides an inte-grated development environment for management, planning and execution of battery V&V. The tool supports practitioners in development and significantly increases the level of process automation.To ensure validity and applicability of the AccCellBaT methodology across industries, the methodology is validated by two original equipment manufacturers (representing via automotive and stationary application a crucial share on battery system market).
Status
SIGNEDCall topic
HORIZON-CL5-2022-D2-01-07Update Date
31-07-2023
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Organisations
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| AVL LIST GMBH (Coördinator)
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| CENTRO RICERCHE FIAT SCPA
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| COLLEGE DE FRANCE
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| CONWEAVER GMBH
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| FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
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| GEBAUER & GRILLER KABELWERKE GMBH
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| TECHNISCHE UNIVERSITAET GRAZ (TU GRAZ)
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| UNIVERSITA DEGLI STUDI DI FIRENZE - University of Florence
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| Universität Bayreuth
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| VARTA INNOVATION GMBH
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| VARTA STORAGE GMBH