Event Date(s) Wednesday, September 11, 2019
Start - Stop Time 9:00 AM - 5:00 PM CDT
Location Gamma Technologies Worldwide Headquarters
601 Oakmont Lane, Suite 220
Telephone: (630) 325-5848
Westmont IL
US
Register By September 4, 2019 - 12:00 AM CDT
Instructor(s) Joe Wimmer
Language English
Open Seats 12 remaining seat(s)
Standard Fee $450.00
University Fee $225.00
Pay Online Via Credit Card Discount Save $100
 

This class is intended for users with previous experience or users who participate in this free-of-charge Introduction Training.

This class will introduce the use of GT-AutoLion and GT-SUITE for modeling of battery systems, modules, and cells.  This course is targeted towards engineers responsible for battery sizing, cell selection, battery characterization, battery performance modeling, and battery life prediction.

This class will consist of a mix of presentations and interactive model building exercises.  The following are the primary topics to be covered:

Electrochemical Modeling of Lithium-ion Cells with GT-AutoLion:  The fundamentals behind electrochemical modeling will be taught and participants will gain experience in building electrochemical models in GT-AutoLion.  Additionally, participants will learn to build calibrated GT-AutoLion models of Li-ion cells from information on a cell’s specifications sheet.

Electrical-Equivalent Modeling of Batteries & Characterization:  Electrical-equivalent battery models will be introduced and the participant will learn how to define these models in GT-SUITE and GT-AutoLion as well as how to characterize these models from experimental or GT-AutoLion test data.

Electro-Thermal Battery Modeling:  The participant will learn various options for linking electrical-equivalent or electrochemical battery models to thermo-fluids models of battery systems.

Integration with Vehicle System Models:  The participant will learn how various battery models may be integrated with vehicle system models to accomplish transient vehicle drive cycle analyses, electric vehicle range prediction, or vehicle performance analyses.

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