Digital Twins Change the Game for OEMs
The automotive industry is driven by key trends in connectivity, electrification, new sharing services, and automation. Together, Ansys and Bosch are meeting these challenges by combining the best of physics-based simulation and data analytics-based solutions. The resulting hybrid digital twins empower Bosch to better understand how different production parameters influence battery management system performance.
Using Ansys technology, Bosch is creating digital models that take advantage of the capabilities of artificial intelligence (AI) and machine learning. See how the digital twins are driving the latest innovations in electric vehicle design.
Discover how Bosch brings the best of AI and physics for Hybrid Digital Twin of Battery Management Systems for Electric Vehicles, and why Digital Twin is a game changer for OEMs.
When you integrate artificial intelligence (AI) and the internet of things (IoT), you obtain massive amounts of data on how physical devices are behaving in the real world. That’s where digital twins come in. Bringing together best practices in AI and physics allows you to combine virtual and physical sensors.
Today, simulation-based digital twins are already representing the real world with a high degree of accuracy. In this webinar, our panel of experts discuss how to bring together the best of AI and physics to create hybrid digital twins. Hybrid digital twins implement physics simulations and virtual sensors into a digital model that can be used to explore cause-and-effect relationships. The panelists will also look inside the AI and physics work already underway thanks to the liaison between the AIoT User Group and the Digital Twin Consortium (DTC).
Hear from Prith Banerjee, CTO Ansys, DTC Steering Committee; and Dirk Slama, Chairman AIoT User Group, VP Co-innovation at Bosch.
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