| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Herrmann, Christoph
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (31/31 displayed)
- 2024Biologicalisation of surface structuring: Comparative environmental assessment of microbial biomachining vs. chemical etchingcitations
- 2023Development of thin-film sensors for in-process measurement during injection moldingcitations
- 2023Physical-chemical properties and tribological characterization of water-glycerine based metal oxide nanofluidscitations
- 2023Integrating Prospective LCA in the Development of Automotive Componentscitations
- 2023Development and testing of novel mineral oil- and biocide-free glycerol- and propanediol-based fluids for drilling and tapping aluminium alloyscitations
- 2023Development of thin-film sensors for data acquisition in cold forging tools
- 2022Integration of Energy Oriented Manufacturing Simulation into the Life Cycle Evaluation of Lightweight Body Partscitations
- 2022New surface boriding technologies
- 2022Digitalization Platform for Mechanistic Modeling of Battery Cell Productioncitations
- 2021Computational determination of macroscopic mechanical and thermal material properties for different morphological variants of cast ironcitations
- 2021Phase-Field Model for the Simulation of Brittle-Anisotropic and Ductile Crack Propagation in Composite Materialscitations
- 2021High-Potential Test for Quality Control of Separator Defects in Battery Cell Productioncitations
- 2021High-Potential Test for Quality Control of Separator Defects in Battery Cell Productioncitations
- 2021Multiphase-field modelling of crack propagation in geological materials and porous media with Drucker-Prager plasticitycitations
- 2021Thin film sensor systems for use in smart productioncitations
- 2021Machine learning and simulation-based surrogate modeling for improved process chain operationcitations
- 2021Modeling energy and resource use in additive manufacturing of automotive series parts with multi-jet fusion and selective laser sinteringcitations
- 2020Modeling the Impact of Manufacturing Uncertainties on Lithium-Ion Batteriescitations
- 2020Industrie 4.0 in der Galvanotechnik
- 2020Root Cause Analysis in Lithium-Ion Battery Production with FMEA-Based Large-Scale Bayesian Network
- 2020Multiphase-field modelling of crack propagation in geological materials and porous media with Drucker-Prager plasticitycitations
- 2020Integrated computational product and production engineering for multi-material lightweight structurescitations
- 2020Agent-Based Simulation Approach for Occupational Safety and Health Planningcitations
- 2020Model-based analysis, control and dosing of electroplating electrolytescitations
- 2019On the multiphase-field modeling of martensitic phase transformation in dual-phase steel using J2-viscoplasticitycitations
- 2019Modelling the Impact of Manufacturing Uncertainties on Lithium-Ion Batteriescitations
- 2018Exploring the Effect of Increased Energy Density on the Environmental Impacts of Traction Batteries: A Comparison of Energy Optimized Lithium-Ion and Lithium-Sulfur Batteries for Mobility Applicationscitations
- 2016A multiscale approach for thermomechanical simulations of loading courses in cast iron brake discscitations
- 2015Honing with polymer based cutting fluidscitations
- 2012A hierarchical evaluation scheme for industrial process chainscitations
- 2011Synergies from process and energy oriented process chain simulation - A case study from the aluminium die casting industrycitations
Places of action
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article
Modeling the Impact of Manufacturing Uncertainties on Lithium-Ion Batteries
Abstract
This paper describes and analyzes the propagation of uncertainties from the lithium-ion battery electrode manufacturing process to the structural electrode parameters and the resulting varying electrochemical performance. It uses a multi-level model approach, consisting of a process chain simulation and a battery cell simulation. The approach enables to analyze the influence of tolerances in the manufacturing process on the process parameters and to study the process-structure-property relationship. The impact of uncertainties and their propagation and effect is illustrated by a case study with four plausible manufacturing scenarios. The results of the case study reveal that uncertainties in the coating process lead to high deviations in the thickness and mass loading from nominal values. In contrast, uncertainties in the calendering process lead to broad distributions of porosity. Deviations of the thickness and mass loading have the highest impact on the performance. The energy density is less sensitive against porosity and tortuosity as the performance is limited by theoretical capacity. The latter is impacted only by mass loading. Furthermore, it is shown that the shape of the distribution of the electrochemical performance due to parameter variation aids to identify, whether the mean manufacturing parameters are close to an overall performance optimum.