Machine Learning for Virtual Vehicle Development (CAE & VR)

25 February 2021

(PresseBox) ( Neu-Isenburg, )
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How CAE and VR can benefit from Machine Learning

It is a challenging time for the automotive industry. Digitalization, Electromobility and Autonomous Driving are transforming the automotive landscape. Today, as never bevor, an intelligent virtual development process and short innovation cycles are necessary to stay competitive. New ways are being explored to handle upcoming trends and requirements. Despite theories of Machine Learning have existed since over six decades, the automotive industry is still only at the beginning of the AI disruption. The event for simulation, virtual reality and data science experts will show latest technologies and applications and offer space for discussions about potentials or barriers of new development approaches.

This event is organized by asc(s and VDC.

Sponsoring

ESI is blue sponsor of the event.

Presentation

ESI will present the following topic: Battery Safety in Critical Crash Scenarios by Dr. Jean-Louis Duval, ESI Group

Time: 1.45pm CET

Engineering an Electrified Vehicle

Car electrification is posing a unique challenge for OEMs as they strive to optimize range, aiming for mass consumer adoption. From designing the lightest vehicle possible, while accounting for batteries, to optimizing the car’s energy management strategy, there are a variety of different approaches in developing the highest performing EVs.

With rigid time frames, virtual prototypes are vital in helping engineers hit their targets while ensuring an excellent cost to mass ratio.

ESI’s Virtual Performance Solution supports:
  • Design and pre-certification of lightweight cars, ensuring performances of innovative joining technology for an efficient mix of material
  • Virtual testing of the complete car, with a structure protecting the battery pack and ensuring crash and vibratory tests, while maintaining modified mass distribution. 
  • Battery design testing, including all mechanical behaviors of the battery 
  • Virtual testing of fluid-structure interaction to assess the car’s behavior during water crossing, simulating the impact of the water on the car underbody and ensuring that no water enters a critical compartment
  • NVH challenges related to new noise sources, such as frequency and propagation paths, have the potential to hinder the development of EVs significantly
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