디지털 트윈으로 전기 자동차 생산 문제를 해결하다

EDAG, EDAG PRODUCTION SOLUTIONS, EDAG BFFT ELECTRONICS, BAOMARC AUTOMATION SYSTEMS, CLOOS, SIEMENS

기존 자동차 OEM사와 공급업체, EV 제조 스타트업이 배터리와 전기차를 양산하려면 생산을 가속화하되 위험과 오류는 줄여야 합니다.

본 웨비나를 통해 EDAG와 파트너사, Baomarc, Cloos가 Siemens 솔루션과 디지털 트윈을 사용해 색다르지만 필수적인 방법으로 자사와 고객사를 위한 EV 제조 문제를 해결한 사례에 대해 알아보십시오.

EDAG가 Siemens 솔루션을 활용해 해결한 문제는 다음과 같습니다:

• 전기 파워트레인으로 차량 경량화
• 배터리 팩 제조 및 어셈블리
• 전기차 플랫폼 계획 및 생산

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.