Marking of Electrode Sheets in the Production of Lithium-Ion Cells as an Enabler for Tracking and Tracing

Sommer, Alessandro; Leeb, Matthias; Haghi, Sajedeh; Günter, Florian J.; Reinhart, Gunther

doi:10.1016/j.procir.2021.11.170

Cited by 16 publications

(9 citation statements)

References 23 publications

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“…As, as shown by Sommer et al, the application of continuous marks onto electrode sheets can influence the performance of the later produced battery cell, the automatic identification based on certain surface features of a produced electrode was investigated. [ 41 ] This innovative approach avoids the use of any disruptive factors that can influence the highly failure‐prone LIB system. For this, an anode batch of 80 m (length) and 200 mm (width) was produced using the Labco continuous coating/drying system with slot die.…”

Section: Methodsmentioning

confidence: 99%

“…[40] However, the topic of traceability has only been addressed in a few studies. [27,31,32,41] It can be seen that none of these approaches is capable to address the identified challenges. Riexinger et al present a morphological analysis outlining different solution combinations for group or single object identification, but practical implementation of a preferred solutions route and derivation of resulting benefits is missing.…”

Section: Traceability In Manufacturing Of Lib Cellsmentioning

confidence: 99%

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Traceability in Battery Cell Production

et al. 2022

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The manufacturing of lithium‐ion battery (LIB) cells has been identified as a hotspot addressing growing price competition and the environmental and economic pressures on technologies along the value creation chain. Effective quality management strategies (QMS) are essential to meet these rising challenges. Herein, data‐driven technologies have fostered an improved understanding of existing process–structure–properties and their process chain covering interdependencies. However, there are often limited in their capability due to the lack of availability or in‐depth information about the manufactured product, existing incidences (i.e., product faults), and the possibility to deploy inline QMS due to insufficient knowledge about the history and condition of the identified products. Against this background, this work describes the implementation of a traceability system as part of QMS for battery cell production and presents a developed framework to overcome challenges from an LIB production perspective for traditional traceability approaches. In addition, this article discusses the implementation of technologies, focusing on the identification and traceability on electrode‐sheet level through continuous and feature‐based approaches. With those technologies implemented, the deployment of quality gates within the electrode production is now possible to not only improve quality inline, but also discover new possibilities for future electrode balancing to reduce manufacturing costs and the overall environmental impact.

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Section: Methodsmentioning

confidence: 99%

Section: Traceability In Manufacturing Of Lib Cellsmentioning

confidence: 99%

Traceability in Battery Cell Production

et al. 2022

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“…An accurate data mapping can be ensured through a tracking and tracing system. [107][108][109][110] Electronic resistance is another critical product property that can be affected by the calendering process. The higher compaction realized through the calendering process leads to increased energy density and improvement in the electronic conductivity of the electrode.…”

Section: Measuring Instruments For Characterization Of Calendered Ele...mentioning

confidence: 99%

Measuring Instruments for Characterization of Intermediate Products in Electrode Manufacturing of Lithium‐Ion Batteries

Haghi,

Leeb,

Molzberger

et al. 2023

Energy Tech

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Electrode manufacturing is considered the core of lithium‐ion battery cell production, with irreversible impacts on the electrochemical performance of the battery cell. The process chain is extensively complex, with a high number of interrelated parameters. The characterization of intermediate products in electrode manufacturing and the analysis of the correlations between process parameters and product properties can be considered a rigorous starting point to deepen process understanding and accelerate process optimization. Based on a holistic evaluation approach and a market analysis, this article provides a comprehensive overview of possible measuring instruments for intermediate products in electrode manufacturing, including the investment costs and inline/offline measurement strategy. The results can be used as a guideline for possible measuring instruments in electrode manufacturing, providing the foundation for in‐depth process analysis. The findings demonstrate the current possibilities and highlight the need for further technological advancement in the field of metrology and digitalization.

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“…As battery production covers batch (or semi‐contentious) and single‐unit processes with converging and diverging material flow, identifying the “right” trace object and equipping it with an identification technology (e. g., QR‐code, RFID‐chip) without influencing the perceived quality of the product is under ongoing research. Solutions and technology suggestions for different identification approaches have been discussed and presented in [186–188] . Next to the object identification through ID, the detection of production stages through energy monitoring can support the often manual tracking process.…”

Section: Data Specificationsmentioning

confidence: 99%

Data Specifications for Battery Manufacturing Digitalization: Current Status, Challenges, and Opportunities

Zanotto

Dominguez

Ayerbe

et al. 2022

Batteries & Supercaps

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Batteries & Supercaps www.batteries-supercaps.org Review doi.org/10.1002/batt.202200224 Lithium-ion battery (LIB) manufacturing requires a pilot stage that optimizes its characteristics. However, this process is costly and time-consuming. One way to overcome this is to use a set of computational models that act as a digital twin of the pilot line, exchanging information in real-time that can be compared with measurements to correct parameters. Here we discuss the parameters involved in each step of LIB manufacturing, show available computational modeling approaches, and discuss details about practical implementation in terms of software. Then, we analyze these parameters regarding their criticality for modeling set-up and validation, measurement accuracy, and rapidity. Presenting this in an understandable format allows identifying missing aspects, remaining challenges, and opportunities for the emergence of pilot lines integrating digital twins. Finally, we present the challenges of managing the data produced by these models. As a snapshot of the state-of-theart, this work is an initial step towards digitalizing battery manufacturing pilot lines, paving the way toward autonomous optimization.

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Marking of Electrode Sheets in the Production of Lithium-Ion Cells as an Enabler for Tracking and Tracing

Cited by 16 publications

References 23 publications

Traceability in Battery Cell Production

Traceability in Battery Cell Production

Measuring Instruments for Characterization of Intermediate Products in Electrode Manufacturing of Lithium‐Ion Batteries

Data Specifications for Battery Manufacturing Digitalization: Current Status, Challenges, and Opportunities

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