Balancing ride, handling, and comfort while considering energy optimization, NVH, and durability
Designing a vehicle involves many parameters and their interactions. In electric vehicle development, the focus is typically on the electric drive, the battery, and their performance improvement. However, other vehicle systems correspondingly contribute to EV optimization and require the attention of manufacturers.
This webinar focuses on the challenges of electric vehicle chassis engineering and how to anticipate these. It discusses how to find the perfect trade-off between ride, handling, and comfort while considering energy optimization, NVH, and durability.
Electric vehicle chassis engineering experts need an EV-specific benchmark, as well as the expansion of the use of predictive models early in the design phases to set component specifications for suppliers.
This can be resolved by using scalable simulation models with appropriate levels of detail for each performance and at each stage of the development. It allows for detailed component and subsystem design while keeping system integration in mind. These scalable models need to capture fundamental design changes on tire level, chassis level, and body level, accounting for different battery pack choices, chassis layout variation, and matching tire choices.
Physical, empirical, or machine-learned models can capture subsystem behavior for sharing status between departments and allow for multi-attribute balancing.
Simcenter solutions combine simulation and testing approaches with engineering insights and technologies to accelerate product development. It enables you to fast-track your chassis design and get it right the first time.
Want to gain insights into delivering a competitive electric vehicle chassis design? Join the webinar and discover how to:
Product Manager Simcenter 3D Motion
Matt has an M.S. in Mechanical Engineering from the University of Iowa, USA. For over the past 15 years, he has been working with wheeled vehicle simulation for handling, ride, and related real-time applications. He’s also an active racecar driver, mechanic, and test engineer on a personal team.
Chassis system business developer Simcenter System Simulation
Marc holds a Ph.D. in Automatic Control at the University Claude Bernard in Lyon, France. Building on 30 years of engineering expertise in analyzing and predicting the performance of mechatronics systems, Marc assists vehicle OEMs and suppliers across the globe to frontload design decisions related to chassis systems and vehicle dynamics.