|Event Date(s)||February 8 - 9, 2023|
|Start - Stop Time||11:00 AM - 4:00 PM CST|
|Register By||February 3, 2023 - 11:00 PM CST|
|The registration deadline has passed.
Contact Vivek Pisharodi with any questions.
This class is intended for users with previous experience or users who participate in this free-of-charge Introduction Training.
This 2-day class will introduce the use of GT-AutoLion and GT-SUITE for modeling of battery systems, modules, and cells.
This course will be conducted online via web meeting over the course of 2 half days.
To reserve your spot, you must have access to the following:
- Computer with GT-SUITE v2022 (the training will be conducted with v2022, but if you only have v2021 that is acceptable)
- Access to an active license
- Good internet connection
- Ideally two monitors/devices (although not required)
- one to follow the instructor on the web meeting (web browser only)
- one to use GT-SUITE for interactive model building
This course is targeted towards engineers who might receive a battery model from another team and would be responsible for using it to run virtual battery experiments, size battery packs, integrate models into larger system or thermal models, predict battery lifetime, and integrate into 3D simulation environments.
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 using calibrated electrochemical models in GT-AutoLion. GT-AutoLion integration into virtual battery test models, system-level models, thermo-fluids models, and 3D models will be covered.
- 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, vehicle performance analyses, and long-term battery degradation prediction in vehicle settings.
*If you intend to participate in both trainings (Basic and Advanced Battery Modeling), please contact the instructor before registration. The regular fee will be $1300 and the university fee $700.
Due to the limited room capacity, seats will be allocated preferentially to commercial customers.