Machine Learning for Virtual Vehicle Development (CAE&VR)
25 February 2021
(PresseBox) - .
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
Founded in 1973, ESI Group is a leading innovator in Virtual Prototyping solutions and a global enabler of industrial transformation. Thanks to the company''s unique know-how in the physics of materials, it has developed and refined its advanced simulation capabilities since its inception. Having identified gaps in the traditional approach to Product Lifecycle Management (PLM), ESI has introduced a holistic methodology centered on industrial productivity and product performance throughout its entire lifecycle, i.e., Product Performance Lifecycle?, from engineering to manufacturing and in operation. Present in more than 20 countries, and major industrial sectors, ESI employs 1200 high-level specialists. In 2019, its turnover was 146M?. ESI is headquartered in France and is listed on compartment B of Euronext Paris.
Themen in dieser Pressemitteilung:
Unternehmensinformation / Kurzprofil:
Founded in 1973, ESI Group is a leading innovator in Virtual Prototyping solutions and a global enabler of industrial transformation. Thanks to the company''s unique know-how in the physics of materials, it has developed and refined its advanced simulation capabilities since its inception. Having identified gaps in the traditional approach to Product Lifecycle Management (PLM), ESI has introduced a holistic methodology centered on industrial productivity and product performance throughout its entire lifecycle, i.e., Product Performance Lifecycle?, from engineering to manufacturing and in operation. Present in more than 20 countries, and majorindustrial sectors, ESI employs 1200 high-level specialists. In 2019, its turnover was 146M?. ESI is headquartered in France and is listed on compartment B of Euronext Paris.
Datum: 10.02.2021 - 02:00 Uhr
Sprache: Deutsch
News-ID 1564550
Anzahl Zeichen: 3974
contact information:
Contact person:
Town:
Neu-Isenburg
Phone:
Kategorie:
Manufacturing & Production
Typ of Press Release:
type of sending:
Date of sending:
Anmerkungen:
Diese Pressemitteilung wurde bisher 322 mal aufgerufen.
Die Pressemitteilung mit dem Titel:
"Machine Learning for Virtual Vehicle Development (CAE&VR)
"
steht unter der journalistisch-redaktionellen Verantwortung von
ESI Group (Nachricht senden)
Beachten Sie bitte die weiteren Informationen zum Haftungsauschluß (gemäß TMG - TeleMedianGesetz) und dem Datenschutz (gemäß der DSGVO).
