Quality Modelling in Battery Cell Manufacturing Using Soft Sensoring and Sensor Fusion

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Quality Modelling in Battery Cell Manufacturing Using Soft Sensoring and Sensor Fusion - A Review

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 9th International Electric Drives Production Conference (EDPC)
language:
Short-container-title:

Author:

Wanner Johannes¹,Weeber Max²,Birke Kai Peter³,Sauer Alexander¹

Affiliation:

1. Institute for Energy Efficiency in Production,Nobelstr. 12, Stuttgart,Germany,D-70569

2. Fraunhofer Institute for Manufacturing Engineering and Automation,Nobelstr. 12, Stuttgart,Germany,D-70569

3. Institute for Photovoltaics,Electrical Energy Storage Systems,Pfaffenwaldring 47, Stuttgart,Germany,D-70569

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8997530/9011819/09011847.pdf?arnumber=9011847

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Learning More with Less Data in Manufacturing: The Case of Turning Tool Wear Assessment through Active and Transfer Learning;Processes;2024-06-19

2. Investigation of the influence of cell compression after winding on electrolyte wettability based on experiments and lattice Boltzmann simulation;Journal of Energy Storage;2024-05

3. Design approaches for Li-ion battery packs: A review;Journal of Energy Storage;2023-12

4. Investigation of the Influence of Electrode Surface Structures on Wettability after Electrolyte Filling Based on Experiments and a Lattice Boltzmann Simulation;Energies;2023-07-26

5. Quality Assurance for Flexible Stack Assembly of Lithium‐Ion Cells;Energy Technology;2023-02-23

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