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#4 AI Spots EV Battery Defects in Gigafactories | AI in E-Mobility Ep. 4 Hexagon
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محتوای ارائه شده توسط Veronika Wright. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Veronika Wright یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.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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LinkedIn - https://www.linkedin.com/in/dr-veronika-wright-obersteiner-362990143/
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www.electrifiedveronika.com
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