Accelerate Design Decisions for Complex Innovative Powertrains Using Predictive Simulation

Learn how to accelerate design decisions for complex innovative powertrains that meet fuel economy, emissions and drivability objectives using predictive simulation.

The global regulation context pushes the automotive industry to engineer complex powertrain systems that improve fuel economy while reducing pollutant emissions. This needs to be achieved without compromising desired performance attributes like drivability and comfort. To reduce time to market and design costs whilst meeting customers and regulatory expectations, OEMs and suppliers need to reduce the overall number of physical prototypes, thus accelerating the use of simulation methods to virtually explore and physically validate powertrain components and systems.

During this webinar, we’ll introduce the concepts of digital twins and how a multi-level simulation approach can help engineering departments to:

• Virtually perform design exploration to assess optimal powertrain architectures early in the design cycle
• Evaluate and balance key performance attributes (fuel economy, emissions, drivability) to meet market and customer expectations,
• Support the development process from initial requirements capture & target setting in full vehicle context to architecture selection, detailed design verification and integration.
• Bring innovation in areas such as in-cylinder combustion; powertrain thermal management; intake, exhaust and engine actuation; aftertreatment, electrified powertrain and transmission/powertrain integration.
• Discover how key OEMS and suppliers have implemented the digital twin approach to drastically reduce development time and costs.

Presenter
Landry Saussol
Powertrain Expert, Simcenter Simulation Solutions
Siemens PLM Software