Explore the concept of Digital Battery Twins in this 24-minute conference talk from GOTO AI Summit 2021. Delve into the intersection of e-mobility, AI, and Machine Learning in the automobile industry as Senior machine learning expert Pouyan Asgharzadeh discusses the development of Digital Twins using machine learning algorithms. Learn about enabling technologies, continuous learning, hybrid modeling approaches, and the advantages of digital twins. Gain insights into a practical use case focusing on Digital Battery Twins, and understand how this technology is shaping the future of e-mobility and asset management in the automotive sector.
Overview
Syllabus
Intro
SAP Asset Management Solutions https://youtu.be/aXayGGzsSKQ
Talk intro
Digital twins
Enabling technologies
Machine learning
The digital twin
Continuous learning & understanding
Hybrid modeling approaches
Advantages of digital twins
Use case: Digital battery twins
Outro
Taught by
GOTO Conferences
