AI-based fast dynamic DoE methodology for motorcycle race engine performance optimization

,  8am Detroit | 2pm Stuttgart | 5.30pm Mumbai
Artificial IntelligenceDataDrivetrainFuel Economy and EmissionsMotorcyclesTesting and Validation

Ganesh Balachandran, Application Engineer, AI Optimization & Testing, AVL | LinkedIn

Andrea Bellini, Engine Experimentation Engineer, Ducati Motor Holding | LinkedIn

Can’t attend live? Register anyway, and we’ll send you a link to the slides and a video of the webinar when it’s finished.

The development and optimization of a motorcycle race engine is a very complex task: time is a critical factor, and efficiency is of utmost importance when competing against the best in the world. Ducati Corse is using AVL CAMEO™ and AVL CONCERTO™ to analyze, virtualize and optimize the performance of their race engines for Moto GP and other racing classes.

In this free, 60-minute webinar, Ganesh Balachandran from AVL and Andrea Bellini, Ducati Motor Holding Engine Experimentation Engineer, provide unique insight into the advanced methodologies, tools, and facilities that helped optimize the engine performance of the motorcycle that won the 2020 MotoGP Constructors World Championship.

Key topics and takeaways:

  • Discover the latest methodologies and tools that support efficient data collection based on an AI-based online algorithm
  • Learn about options to evaluate and improve overall system performance with a bottom-up approach in terms of efficiency, performance and cost in an advanced testing environment
  • Find out how dynamic data collection saves time with the accurate, robust neural network model

Meet the experts

Ganesh Balachandran

Application Engineer, AI Optimization & Testing, AVL

Andrea Bellini

Engine Experimentation Engineer, Ducati Motor Holding