The automotive and aerospace industries are striving for powertrain cost-optimization and efficiency, necessitating the evolution of electric motors towards compactness, higher speed and power density.

Components such as bearings, coils, and magnets undergo substantial stress, emphasizing the critical need for meticulous design. Fortunately, recent advancements in artificial intelligence (AI) algorithms and hardware have significantly enhanced the efficiency of simulation and testing processes.

This webinar aims to elucidate the utilization of AI in addressing the challenges posed by the demanding requirements of modern electric motor design and testing.

Key topics and takeaways:

• Gain insight into useful AI methods for electric motor development
• Explore predictive maintenance on testbeds with a concrete example for bearings
• Discover the data flow and methodology required to transform large volumes of high-frequency measurements into clear, actionable recommendations for testbed operators