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| Home > Publications database > Development of a cell design environment for bottom-up estimation of performance parameters for lithium-ion batteries and virtual cell design – ISEA Cell & Pack Database (ICPD) |
| Home > Publications database > Development of a cell design environment for bottom-up estimation of performance parameters for lithium-ion batteries and virtual cell design – ISEA Cell & Pack Database (ICPD) |
| Journal Article | FZJ-2024-02391 |
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2023
Elsevier
Amsterdam [u.a.]
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Please use a persistent id in citations: doi:10.1016/j.est.2023.108396 doi:10.34734/FZJ-2024-02391
Abstract: As research in lithium-ion batteries covers multiple scales from materials development to system design, implications of improvements in material characteristics on battery cell performance are often hard to quantify. However, assessing the influence of changes within the material level on key cell characteristics is crucial for accelerated battery development and enables optimized tailor-made cell and material designs for specific battery applications.Within this publication, the authors present a battery cell design model calculating cell performance parameters solely based on design parameters and material characteristics to bridge the gap between material and cell performance. This model includes key aspects of the cell design in a bottom-up functional database structure stretching from material level to cell level and automatically calculating fundamental cell characteristics. It can be applied for both storage of cell characterization data of existing battery cells and virtually cell design for any cell chemistry. The model is validated on two different battery cells and provides accurate estimations for the cells' weight, capacity and energy density.
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