From Simulation to Production: Digital Twins and AI-Driven Motor Optimization

As electric motor design grows more complex, the integration of digital twins and AI-driven optimization is revolutionizing how motors are developed, tested, and manufactured.

This panel will explore how engineers are leveraging real-time simulation, machine learning, and advanced modeling tools to accelerate design cycles, reduce prototyping costs, and enhance performance across the full product lifecycle. Industry leaders and researchers will discuss real-world applications—from virtual validation and predictive maintenance to automated design refinement and system-level optimization. The session will also address data management, model accuracy, and the challenges of implementing digital twin technology at scale in production environments.

Attendees will gain a clear understanding of how AI and simulation are bridging the gap between concept and manufacturing, enabling smarter, faster, and more efficient electric motor development.

Key Takeaways:

• How digital twins are transforming the electric motor design and validation process.

• Practical examples of AI-driven tools reducing time-to-market and improving performance.

• Strategies for integrating simulation data with real-world manufacturing feedback loops.

• Common pitfalls and best practices for deploying digital twin systems at production scale.

• The future outlook for AI-enabled design in next-generation electric motor systems.