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AI Spots EV Battery Defects in Gigafactories | AI in E-Mobility Ep. 4 Hexagon
Manage episode 445401544 series 3302256
Veronika Wright에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Veronika Wright 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
In Episode 4 of the AI in E-Mobility series, Veronika Wright speaks with Virginie Turc, Business Development Manager at Hexagon Manufacturing Intelligence, about how AI is revolutionizing the battery manufacturing process. Hexagon’s AI solutions are helping manufacturers reduce scrap rates, speed up quality control, and optimize processes at both the battery cell and module levels.
Key Takeaways:
- How AI is used to detect defects in battery cell manufacturing, improving inspection time by 30% and efficiency by 98%.
- The role of deep learning and CNN models in quality control for electrode burr detection and CT scan analysis.
- How AI helps reduce scrap rates, particularly in the European gigafactory landscape, and accelerates production time for safer, more efficient batteries.
📖 𝗥𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲𝘀
https://hexagon.com/company/divisions/manufacturing-intelligence
https://www.linkedin.com/in/virginieturc/
🔍 What’s Next: This limited series will consist of 10 episodes featuring insights from industry experts and a deep dive into specific applications of AI throughout the battery lifecycle.
🌐 𝗟𝗲𝗮𝗿𝗻 𝗠𝗼𝗿𝗲
https://electrifiedveronika.com
✅ 𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮
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www.electrifiedveronika.com
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