Battery Thermal Analysis
Battery Thermal Analysis Using 1D CFD and ML-Based Techniques
About the webinar:
The success of electric vehicles (EVs) relies heavily on efficient battery thermal management. This webinar explores how DEP engineers use cutting-edge simulation tools, including Machine Learning (ML)-based techniques, to analyze battery heat transfer and optimize cooling systems.
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The following two topics will be covered:
Topic A - Battery Cooling and Thermal Performance Using GT Suite
Efficiency in battery cooling and thermal simulations can be gained by converting a 3D model to a 1D representation using GT-SUITE. This approach helps quickly guide the design of cooling plates and other components.
Topic B - ML-Based System-Level Optimization of Cooling Circuits
We will showcase how machine learning technology-based tools were used along with a system-level cooling circuit model to quickly arrive at optimal design parameters that meet requirements.
Who should attend?
● Executives or Managers are responsible for EV development budgets and timelines.
● Product Development Team in Electrification
● Managers working on electric vehicles or battery systems
● Battery CAE/CFD Engineers
For any queries, kindly contact DEP Webinar Team at webinars@depusa.com
The event is free, but registration is appreciated.
About DEP Engineering Services:
DEP provides advanced engineering product development and design services for various industries, including specialized EV development services
Detroit Engineered Products
USA (HQ) | INDIA | CHINA | BRAZIL | JAPAN
Call: +1 248 269 7130 I Email: email@depusa.com I Web: www.depusa.com
850 East LongLake Rd., Troy, Michigan 48085, USA
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