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battery-simulation

In this repository a short research paper on the simulation of ct-scans of battery cells is presented.

https://github.com/ims-organisation/battery-simulation

Science Score: 67.0%

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    CITATION.cff file
    Found CITATION.cff file
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    Found codemeta.json file
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    .zenodo.json file
    Found .zenodo.json file
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    DOI references
    Found 3 DOI reference(s) in README
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    Academic publication links
    Links to: zenodo.org
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    Scientific vocabulary similarity
    Low similarity (10.8%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

In this repository a short research paper on the simulation of ct-scans of battery cells is presented.

Basic Info
  • Host: GitHub
  • Owner: IMS-Organisation
  • License: mit
  • Language: Python
  • Default Branch: main
  • Size: 35.3 MB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 1 year ago · Last pushed 7 months ago
Metadata Files
Readme License Citation

README.md

DOI License: MIT

BatteryCT

SIMULATION OF BATTERY CT-SCANNING FOR ELECTRICAL VEHICLES

The detection of production flaws in battery cells without causing any damage is crucial for ensuring quality control. Computed tomography (CT) emerges as a promising solution for non-destructive defect detection. However, efficient defect detection relies heavily on accurately identifying defects from captured CT images. This necessitates a large amount of data for Artificial Intelligence (AI) training and development. Obtaining real scans of cells for this purpose is both laborious and expensive. Simulative data generation presents an alternative approach to tackle this challenge. This work outlines the concept of simulative data generation for the efficient detection of defects in cell production using CT imaging. By creating synthetic data, and simulate CT images based on the synthetic data, the concept aims to provide a cost-effective and practical solution for training and developing defect detection algorithms.

You can download or view our paper here: SIMULATION OF BATTERY CT-SCANNING FOR ELECTRICAL VEHICLES PDF.

BLENDER UI

The project is based on Blender and its Python API. The sourcecode provided in src creates a custom UI panel in Blender which can be utilised to generate custom battery 3d-geometrys. A small part of the panel is displayed in the screenshot below.

Blender UI

BatteryCT 2024 F.Bisinger, E.Grenz, I.Schopf at University of Applied Sciences Karlsruhe (HKA) at the MSYS Lab under supervision of Prof. Dr.-Ing. Martin Simon.

Owner

  • Name: IMS Organisation
  • Login: IMS-Organisation
  • Kind: organization
  • Location: Germany

This is the Organization of the IMS @ the University of Applied Sciences Karlsruhe

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use our work, please cite it as below."
authors:
- family-names: "Bisinger"
  given-names: "Florian"
- family-names: "Grenz"
  given-names: "Erwin"
- family-names: "Schopf"
  given-names: "Ian"
title: "SIMULATION OF BATTERY CT-SCANNING FOR ELECTRICAL VEHICLES"
doi: 10.5281/zenodo.10962597
date-released: 2024-04-11
url: "https://github.com/Fbisinger/BatteryCT/"

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