Time-Efficient Reparameterization and Simulation of Manufacturing Impacts on Performance of Lithium-Ion-Batteries

Lenze, Georg; Laue, Vincent; Krewer, Ulrike

doi:10.1149/2.0751913jes

Cited by 3 publications

(3 citation statements)

References 29 publications

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“…The corresponding references are noted as comments in the boxes; this is visualized by the small red triangle in the top right‐hand corner. [ 10–13,15,16,18–21,30–168 ]…”

Section: Resultsmentioning

confidence: 99%

Identification of Relevant Parameters for Traceability in the Continuous Mixing Process in Battery Cell Production

Otte,

Sufian,

Schabel

et al. 2024

Energy Tech

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The growing demand for lithium‐ion batteries in electric vehicles pose challenges, particularly for the use of critical materials such as cobalt in electrode slurry mixing. Due to regulatory requirements such as the battery passport, an accurate traceability system is mandatory. However, there is no solution for the continuous mixing process, which is a major challenge in electrode production. This article describes an approach to solve this problem. Based on the results of a literature review, a design structure matrix is constructed to analyze parameter influences. The overall result is a list of relevant parameters that should be recorded in the continuous mixing process in order to characterize the mixing process.

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“…The corresponding references are noted as comments in the boxes; this is visualized by the small red triangle in the top right‐hand corner. [ 10–13,15,16,18–21,30–168 ]…”

Section: Resultsmentioning

confidence: 99%

Identification of Relevant Parameters for Traceability in the Continuous Mixing Process in Battery Cell Production

Otte,

Sufian,

Schabel

et al. 2024

Energy Tech

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“…10 and 11 respectively. 31 As indicated in Eq. 12, the effective electrolyte diffusion coefficient is calculated by applying the Bruggeman factor.…”

Section: Methodsmentioning

confidence: 99%

Model-Based Design of High Energy All-Solid-State Li Batteries with Hybrid Electrolytes

Toghyani¹,

Baakes²,

Zhang³

et al. 2022

J. Electrochem. Soc.

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As the aircraft industry becomes more committed to sustainable aviation, hybrid-electric propulsion systems containing batteries with higher specific energy have attracted attention as a means to reduce fuel consumption. Future aircraft could benefit from next-generation chemistries like oxide-based solid-state Li battery (SSB) technologies. However, producing and evaluating a wide range of design parameters for maximizing the specific energy of SSB experimentally is both time- and resource-intensive. Physics-based modeling promises to identify optimal designs for battery cells with respect to high specific energy in a more time and cost-efficient manner. Here, we applied a pseudo-two-dimensional model for the model-based evaluation of Li-SSB with various (hybrid) electrolytes to elucidate which solid electrolyte performs well with present electrode technology and which one has the potential to become an attractive alternative with more development. After identifying design variables to improve SSB with the help of sensitivity analysis, a genetic algorithm is used to predict the optimal design parameters to achieve higher specific energy. The study reveals that SSB based on 12.7 vol% of LLZTO is the best option under present manufacturing constraints. Hybrid electrolytes based on 10 wt% of LATP could be promising for future aircraft with further improvements in SSB manufacturing process.

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“…The influence of calendering on the electrochemical performance was also investigated by Lenze et al [ 79 ] using a P2D physico‐chemical battery model, based on the work by Legrand et al [ 80 ] In a coupled multi‐level model approach, Schmidt et al [ 81 ] and Thomitzek et al [ 82 ] combined a P2D model for simulating the battery cell, with a process chain model in order to analyze process–structure–property relationships and analyze the influence of tolerances in the manufacturing process on the processing parameters. They demonstrated that uncertainties in the calendering performance produce broad porosity distributions and that mass loading and thickness deviations have the highest impact on cell performance.…”

Section: Modeling Simulation and Tomographymentioning

confidence: 99%

Insights into Influencing Electrode Calendering on the Battery Performance

Abdollahifar

Cavers

Scheffler

et al. 2023

Advanced Energy Materials

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As the demand for lithium‐ion batteries (LIBs) continuously grows, the necessity to improve their efficiency/performance also grows. For this reason, optimization of the individual production steps is critical. Calendering is a crucial production step whereby electrode coatings are compacted to targeted densities. This process affects the porosity, adhesion, thickness, wettability, and charge transport properties of the electrodes, as well as the homogeneity of the coatings. Optimal calendered electrodes improve volumetric energy density, cyclic stability, and rate capability of the cells and also enhance the structural stability of the active material, which affects electrode safety and polarization. This article outlines the fundamental processes and mechanisms, as well as how modeling, simulation, and tomography can be used to optimize these processes. Additionally, the influence of calendering on a wide range of anode and cathode active materials is discussed. This review serves to give a deeper understanding into the calendering process‐structure‐performance relationships, and how they can be optimized to improve the performance of LIBs.

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Time-Efficient Reparameterization and Simulation of Manufacturing Impacts on Performance of Lithium-Ion-Batteries

Cited by 3 publications

References 29 publications

Identification of Relevant Parameters for Traceability in the Continuous Mixing Process in Battery Cell Production

Identification of Relevant Parameters for Traceability in the Continuous Mixing Process in Battery Cell Production

Model-Based Design of High Energy All-Solid-State Li Batteries with Hybrid Electrolytes

Insights into Influencing Electrode Calendering on the Battery Performance

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