Getting the most out of simulations and tests of EV batteries requires efficient use of the available simulation and experimental budgets. For simulation it is also crucial to validate that the simulation produces results that agree well with available test data. This webinar will discuss the role design of experiments, predictive machine learning models, and machine learning tools such as statistical calibration can play in maximizing the knowledge gained from EV battery simulations and tests.
Join us for this webinar in which SmartUQ principal application engineer, Gavin Jones, will introduce the use of SmartUQ for EV battery applications. SmartUQ’s ability to integrate with tools commonly used for EV battery simulation such as COMSOL, ANSYS Fluent, STAR-CCM+, MATLAB, and Simulink will also be discussed.
