• #4 AI Spots EV Battery Defects in Gigafactories | AI in E-Mobility Ep. 4 Hexagon

  • 2024/10/16
  • 再生時間: 19 分
  • ポッドキャスト

#4 AI Spots EV Battery Defects in Gigafactories | AI in E-Mobility Ep. 4 Hexagon

  • サマリー

  • 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
    Instagram - https://www.instagram.com/electrified.veronika/
    LinkedIn - https://www.linkedin.com/in/dr-veronika-wright-obersteiner-362990143/
    Facebook - https://www.facebook.com/veronika.wright42
    Twitter - https://twitter.com/ev_veronika
    TikTok - https://www.tiktok.com/@ev_veronika

    www.electrifiedveronika.com

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あらすじ・解説

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
Instagram - https://www.instagram.com/electrified.veronika/
LinkedIn - https://www.linkedin.com/in/dr-veronika-wright-obersteiner-362990143/
Facebook - https://www.facebook.com/veronika.wright42
Twitter - https://twitter.com/ev_veronika
TikTok - https://www.tiktok.com/@ev_veronika

www.electrifiedveronika.com

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