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GermanyManufacturing2026 – ongoing

ElringKlinger

AI weld-position detection for laser welding of EV cell contacting systems

ElringKlinger cut set-up of weld-position detection from days to hours with TRUMPF's image-based AI

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Problem

ElringKlinger welds cell contacting systems for electric-vehicle batteries. The parts are up to 2 m long and carry more than 50 weld positions. Getting a reliable image-based detection of those positions used to take days.

Approach

A joining-technology engineer trains TRUMPF's EasyModel AI with VisionLine Detect on a few images. The images go to a cloud, the engineer marks the relevant areas, and the model finds component edges even at short cycle times. No programming is needed. The filter started at the Neuffen future-technologies plant and was rolled out to two more production sites.

Results

hours instead of daystime to reach good detection results, as stated by the ElringKlinger engineer in a TRUMPF storyVendor case study[1]
2 further plantsproduction facilities that received the AI filter after the Neuffen plant, per TRUMPFVendor case study[1]

Takeaway

Training a vision model on a handful of images let a process engineer, not a programmer, set up detection for long parts with many weld points.

Categories

Business function
Production and quality
Innovation type
Process innovation
AI technology
Computer vision
Evidence
Vendor case study

Sources

Source summaries

[1]TRUMPF19 Feb 2026

TRUMPF's customer story describes how ElringKlinger uses EasyModel AI with VisionLine Detect to find weld positions on battery contacting systems. An engineer says good results now take hours, not days. The story names no start year and gives no cost figures.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
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