Leverage system simulation to automate xEV design optimization
Automate your architecture definition in early design stages
Developing new concepts for electrified vehicles is not as easy as it seems. Engineers have only a few legacy data to start with and a limited view of the architectures, systems choices, and corresponding performance levels. Simulation can be the answer to developing new concepts without starting from a blank page. The ability to utilize easy-to-use, predictable models in early engineering stages will help anticipate design choices, predict design/performance evaluation, and optimize designs to meet requirements.
Our experts will introduce a multi-level, multi-physics system simulation approach and how to implement a methodology to automate xEV design optimization. This approach enables us to provide fast and reliable answers to find the best design/performance compromise based on requirements and performance targets.
Frontloading engineering decisions to meet performance levels and avoid late design defects
In this webinar, you will learn how to:
- Implement a streamlined system simulation approach to run multi-criteria (on performance levels) and multi-parameters (on design) analysis
- Easily build reliable models from existing requirements and targets
- Seamlessly modify models with new parameters and explore design space to optimize performance levels
- Automate the optimization process and finetune components and systems parameters
About the speakers
Business Development Manager, Siemens Digital Industries Software
Thomas is the thermal applications business development manager for the Simcenter portfolio at Siemens Digital Industries Software. He became the manager of the 1D application engineers’ team in France for over five years with a successive specific focus on territory, train and the automotive market.
Business Development Manager, Siemens Digital Industries Software
Lionel is the Business Development Manager for System simulation activities, focusing on the electrification of ground transportation. He has a master's degree in mechanical engineering and is involved in multi-domain system simulation since 1999.