デジタル・ツインで電気自動車の生産課題を解決

EDAG、Edag Production Solutions、EDAG BFFT Electronics、Baomarc Automation Systems、CLOOS、シーメンス

既存の自動車OEM、サプライヤー、EV製造のスタートアップ企業は同様に、リスクやエラーを発生させることなくバッテリーや電気自動車の製造を直ちに開始して量産に入る手法を求めています。

このウェビナーに登録して、EDAGとそのパートナーであるBaomarcとCLOOSがシーメンスのソリューションとデジタル・ツインを活用し、従来とは異なる必須の手法で自社と顧客のEV製造課題を解決した事例をご覧ください。

EDAGは次の目的でシーメンスのソリューションを使用しました。詳細をウェビナーでご確認ください。

• 電動パワートレイン搭載車両の軽量化
• バッテリーパックの製造とアセンブリ
• 電気自動車プラットフォームの計画と生産

Reduce risks and optimize advancements in EV manufacturing with integrated software solutions

Beyond the obvious changes required to design an electric vehicle, manufacturers are trying to anticipate the necessary changes in manufacturing to support the efficient and cost-effective production of these complex vehicles. As manufacturers shift towards native EV platforms, we expect the assembly processes to shift towards a more modular build environment with an increased number of purchased components. This will inevitably drive changes within manufacturing and assembly methodologies, processes, and tools to evolve to support modular build scenarios that rapidly adapt to changing market conditions. In today's global market, the reuse of knowledge gained during production using integrated solutions will be imperative to support ramp-up in other productions facilities.

Leveraging the digital twin to attain highly efficient production and product advancements

The digital twin is a virtual model of a product or production assets as they evolve through their lifecycle and are used to predict behavior, optimize performance, and apply lessons learned from previous design and production experiences. Using the digital twin as a verification and validation (V&V) tool is essential for today's complex electric vehicles and EV production systems. The performance digital twin captures physical asset performance data from products and plants in operation. Data from smart connected products in the field and factory equipment would be aggregated, analyzed, and transformed into actionable information to create a completely closed-loop decision environment for continuous optimization.

Watch the on-demand webinar to discover how Siemens' holistic approach enables EV manufacturers to achieve the best result possible with continuous improvement.