Intelligenter Batch-Mischprozess von Anodenpasten/Smart batch mixing process for anode pastes – Condition-based process stops to increase efficiency in battery cell production

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Cover of Volume: wt Werkstattstechnik online Volume 116 (2026), Issue 04
Open Access Full access

wt Werkstattstechnik online

Volume 116 (2026), Issue 04

Authors:
Publisher
VDI fachmedien, Düsseldorf
Copyright Year
2026
ISSN-Online
1436-4980
ISSN-Print
1436-4980

Chapter information

Open Access Full access

Volume 116 (2026), Issue 04

Intelligenter Batch-Mischprozess von Anodenpasten/Smart batch mixing process for anode pastes – Condition-based process stops to increase efficiency in battery cell production

Authors:
ISSN-Print
1436-4980
ISSN-Online
1436-4980
Preview:

This study serves as a basis for optimizing the batch mixing process in battery cell production. Based on the data collected, a clear correlation can be established between the energy consumption of the batch mixing unit and the viscosity of the electrode paste. These findings enable to cost-effectively upgrade existing equipment in the field in the future, establish inline viscosity monitoring, and implement a condition-based process stop.

Bibliography

  1. [1] Ngoy, K. R.; Lukong, V. T.; Yoro, K. O. et al.: Lithium-ion batteries and the future of sustainable energy: A comprehensive review. Renewable and Sustainable Energy Reviews 223 (2025), #115971 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-60
  2. [2] Lombardo, T.; Duquesnoy, M.; El-Bouysidy, H. et al.: Artificial Intelligence Applied to Battery Research: Hype or Reality? Chemical reviews 122 (2022) 12, pp. 10899–10969 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-60
  3. [3] Heimes, H. H.; Kampker, A.; Lienemann, C. et al.: Produktionsprozess einer Lithium-Ionen-Batteriezelle. Stand: 2026. Internet: www.vdma.eu/documents/34570/35405938/Produktionsprozess_einer_Lithium-Ionen-Batteriezelle_2026.pdf/8346737b-3768–2f58–9178–204fa9cdb9c4?filename=Produktionsprozess_einer_Lithium-Ionen-Batteriezelle_2026.pdf. Zugriff am 31.03.2026 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-60
  4. [4] Reynolds, C. D.; Walker, H.; Mahgoub, A. et al.: Battery electrode slurry rheology and its impact on manufacturing. Energy Advances 4 (2025) 1, pp. 84–93 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-60
  5. [5] Jalowy, L.; Lehmann, H.; Rassek, P. et al.: Processing Water-Based Lithium Iron Phosphate (LiFePO4) Cathodes with CMC Binder: The Impact of Dispersing Methods. AppliedChem 5 (2025) 4, #33, doi.org/10.3390/appliedchem5040033 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-60
  6. [6] Haarmann, M.; Grießl, D.; Kwade, A.: Continuous Processing of Cathode Slurry by Extrusion for Lithium‐Ion Batteries. Energy Technology 9 (2021) 10, doi.org/10.1002/ente.202100250 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-60
  7. [7] Liu, H.; Cheng, X.; Chong, Y. et al.: Advanced electrode processing of lithium ion batteries: A review of powder technology in battery fabrication. Particuology 57 (2021), pp. 56–71 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-60
  8. [8] Cushing, A.; Zheng, T.; Higa, K. et al.: Viscosity Analysis of Battery Electrode Slurry. Polymers 13 (2021) 22, doi.org/10.3390/polym13224033 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-60
  9. [9] Wang, S.; Wang, P.; Yuan, J. et al.: Simulation Analysis of Power Consumption and Mixing Time of Pseudoplastic Non-Newtonian Fluids with a Propeller Agitator. Energies 15 (2022) 13, #4561 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-60
  10. [10] Cunningham, G. E.; Deshpande, S.; Simmons, M. J. et al.: Investigating mixer-viscometer techniques for partially filled stirred tanks. Chemical Engineering Science 282 (2023), #119340 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-60
  11. [11] Aljaafreh, A.: Agitation and mixing processes automation using current sensing and reinforcement learning. Journal of Food Engineering 203 (2017), S. 53–57 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-60
  12. [12] Lombardo, T.; Hoock, J.-B.; Primo, E. N. et al.: Accelerated Optimization Methods for Force‐Field Parametrization in Battery Electrode Manufacturing Modeling. Batteries & Supercaps 3 (2020) 8, pp. 721–730 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-60
  13. [13] Drakopoulos, S. X.; Gholamipour-Shirazi, A.; MacDonald, P. et al.: Formulation and manufacturing optimization of lithium-ion graphite-based electrodes via machine learning. Cell Reports Physical Science 2 (2021) 12, #100683 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-60
  14. [14] El-Dalahmeh, M.; Siddhapura, O.; Apachitei, G. et al.: Predictive modelling of slurry viscosity using transfer learning to mitigate uncertainties in pilot-scale lithium-ion battery manufacturing process. Energy and AI 22 (2025), #100661 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-60
  15. [15] Kaiser, J.; Wenzel, V.; Nirschl, H. et al.: Process and Product Development of Electrodes for Lithium‐Ion Cells. Chemie Ingenieur Technik 86 (2014) 5, S. 695–706 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-60
  16. [16] Kuckartz, U.: Statistik. Eine verständliche Einführung. Wiesbaden: VS Verlag für Sozialwissenschaften / GWV Fachverlage 2010 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-60
  17. [17] Cawley, G. C.; Talbot, N. L. C.: Fast exact leave-one-out cross-validation of sparse least-squares support vector machines. Neural networks 17 (2004) 10, pp. 1467–1475 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-60
  18. [18] Manokhin, V.: Practical Guide to Applied Conformal Prediction in Python. Learn and apply the best uncertainty frameworks to your industry applications. Birmingham: Packt Publishing Limited 2023 Open Google Scholar DOI: 10.37544/1436-4980-2026-04-60

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