Year: 2020
Type: conference-paper
Abstract: Battery technology is a key component in current electric vehicle applications and an important building block for upcoming smart grid technologies. The performance of batteries depends largely on quality control in their production process. Defects introduced in the production of electrodes can lead to degraded performance and, more importantly, to short circuits that can cause accidents. In this contribution, we propose an inspection system that can detect defects, like missing coating, agglomerates, and pinholes on coated electrodes and acquire valuable production quality control metrics, like surface roughness. By employing Photometric Stereo (PS), a shape from shading algorithm, our system sidesteps difficulties that arise while optically inspecting the black to dark gray battery coating materials. We present in detail the acquisition concept of the proposed system, and analyze its acquisition-, as well as, its surface reconstruction performance. Further, we demonstrate the acquisition results of several common defect types that arise in foil production. Our system acquires at a production speed of 500 mm/s at a resolution of 50 μm per pixel resolution.
Institution: AIT Austrian Institute of Technology GmbH
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4396630867