Data mining in lithium-ion battery cell production

Schnell, Joscha; Nentwich, Corbinian; Endres, Florian; Kollenda, Anna; Distel, Fabian; Knoche, Thomas; Reinhart, Gunther

doi:10.1016/j.jpowsour.2018.12.062

Cited by 107 publications

(54 citation statements)

References 16 publications

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“…Hence, an in‐house production for up to six successive calendering steps would result in lower cost than buying the foil from an external supplier at a price of 250 $ kg −1 . This would also allow for direct further processing which could be beneficial from a quality perspective . However, rolling lithium toward layer thicknesses below 50 μm becomes more difficult with each calendering step and requires specific processing know‐how.…”

Section: Resultsmentioning

confidence: 99%

“…This would also allow for direct further processing which could be beneficial from a quality perspective. [35,36] However, rolling lithium toward layer thicknesses below 50 μm becomes more difficult with each calendering step and requires specific processing know-how. Hence, one of the biggest challenges will be to find skilled personnel to operate the machines.…”

Section: Lithium Foil-make or Buy?mentioning

confidence: 99%

“…Electrolyte Filling and Riveting: For conventional LIBs, the liquid electrolyte is injected into the cell to fill the pores in the electrodes and the separator. The process is decisive for the overall cell quality [36,66] and the subsequent wetting can be a bottleneck in cell production. [67] Formation: During the formation procedure, the cells are charged for the first time.…”

Section: Baseline Parametersmentioning

confidence: 99%

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Solid versus Liquid—A Bottom‐Up Calculation Model to Analyze the Manufacturing Cost of Future High‐Energy Batteries

et al. 2020

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All‐solid‐state batteries (ASSB) are promising candidates for future energy storage. However, only a little is known about the manufacturing costs for industrial production. Herein, a detailed bottom‐up calculation is performed to estimate the required investment and to facilitate comparison with conventional lithium‐ion batteries (LIB). Results indicate that sulfide‐based ASSBs can indeed be competitive if the material compatibility issues can be solved and production is successfully scaled. In contrast, oxide‐based ASSBs will probably not be able to compete if cost is the decisive factor. A sensitivity analysis with Monte Carlo simulation reveals that the inert gas atmosphere required for sulfide‐based ASSBs contributes little to the overall cell costs, whereas the sintering step for oxide‐based ASSBs is highly critical. The calculation also indicates that in‐house manufacturing of the lithium anode will be cheaper than purchasing the lithium foil externally if the cell producer has sufficient processing know‐how. Finally, the aerosol deposition method is investigated, revealing that a deposition rate far above 1000 mm3 min−1 would be required to make the technology economically feasible in ASSB production. The results of this study will help researchers and industry prioritize development efforts and push the scale‐up of future high‐energy batteries with improved performance.

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Section: Resultsmentioning

confidence: 99%

Section: Lithium Foil-make or Buy?mentioning

confidence: 99%

Section: Baseline Parametersmentioning

confidence: 99%

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Solid versus Liquid—A Bottom‐Up Calculation Model to Analyze the Manufacturing Cost of Future High‐Energy Batteries

et al. 2020

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“…This slurry was transferred into a 15 mL conical centrifuge falcon tube (VWR, Hannover, Germany) and centrifuged at 500 min −1 for 5 min (HeraeusBiofuge Primo R, Kendro Laboratory Products, Hanau, Germany). The top solvent was used for particle size analysis using a Pasteur pipette (VWR, Hannover, Germany) …”

Section: Methodsmentioning

confidence: 99%

Capacity Distribution of Large Lithium‐Ion Battery Pouch Cells in Context with Pilot Production Processes

et al. 2019

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The increasing relevance of automotive lithium‐ion battery cells spotlights the importance of economic production in a high quantity. In this context, production technology for large battery formats is of great relevance. Therefore, it is necessary to identify effects on important cell properties, and based on this, develop an understanding of the interaction between process parameters and product properties. Large‐format cells are not comprehensively examined, particularly, in a large sample size, analyzing cell properties in terms of distributed values. Hence, there is so far no statistical data concerning large‐format batteries and their distributed discharge capacity and self‐discharge. For this reason, and in contrast to other studies, the scope of this work is to investigate a large sample size of 79 industrial‐scale 9 Ah battery cells to ensure statistical relevance and generate distributed data of cell properties. For this purpose, a large number of cells are produced and extensively electrochemically investigated. Subsequently, the essential parameters are correlated with the electrode parameter of carbon black particle size. Hence, the foundation for this process–product–property relationship is laid.

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“…Very recently, Schnell et al [21] developed a data mining approach that they applied to a real battery production line. In that work, the authors showed, for the first time, the systematic acquisition, processing and analysis of data from a battery production line along the whole process of the cell production chain.…”

Section: Introductionmentioning

confidence: 99%

Text mining assisted review of the literature on Li-O₂ batteries

Torayev¹,

Magusin²,

Grey³

et al. 2019

J. Phys. Mater.

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The high theoretical capacity of Li-O 2 batteries attracts a lot of attention and this field has expanded significantly in the last two decades. In a more general way, the large number of articles being published daily makes it difficult for researchers to keep track of the progress in science. Here we develop a text mining program in an attempt to facilitate the process of reviewing the literature published in a scientific field and apply it to Li-O 2 batteries. We analyze over 1800 articles and use the text mining program to extract reported discharge capacities, for the first time, which allows us to show the clear progress made in recent years. In this paper, we focus on three main challenges of Li-O 2 batteries, namely the stability-cyclability, the low practical capacity and the rate capability. Indeed, according to our text mining program, articles dealing with these issues represent 86% of the literature published in the field. For each topic, we provide a bibliometric analysis of the literature before focusing on a few key articles which allow us to get insights into the physics and chemistry of such systems. We believe that text mining can help readers find breakthrough papers in a field (e.g. by identifying papers reporting much higher performances) and follow the developments made at the state of the art (e.g. by showing trends in the numbers of papers published-a decline in a given topic probably being the sign of limitations). With the progress of text mining algorithms in the future, the process of reviewing a scientific field is likely to become more and more automated, making it easier for researchers to get the 'big picture' in an unfamiliar scientific field.

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Data mining in lithium-ion battery cell production

Cited by 107 publications

References 16 publications

Solid versus Liquid—A Bottom‐Up Calculation Model to Analyze the Manufacturing Cost of Future High‐Energy Batteries

Solid versus Liquid—A Bottom‐Up Calculation Model to Analyze the Manufacturing Cost of Future High‐Energy Batteries

Capacity Distribution of Large Lithium‐Ion Battery Pouch Cells in Context with Pilot Production Processes

Text mining assisted review of the literature on Li-O₂ batteries

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Data mining in lithium-ion battery cell production

Cited by 107 publications

References 16 publications

Solid versus Liquid—A Bottom‐Up Calculation Model to Analyze the Manufacturing Cost of Future High‐Energy Batteries

Solid versus Liquid—A Bottom‐Up Calculation Model to Analyze the Manufacturing Cost of Future High‐Energy Batteries

Capacity Distribution of Large Lithium‐Ion Battery Pouch Cells in Context with Pilot Production Processes

Text mining assisted review of the literature on Li-O2 batteries

Contact Info

Product

Resources

About

Text mining assisted review of the literature on Li-O₂ batteries