Using Ansys Twin Builder and Fluent, Skydweller predicts their battery’s thermal behavior over various day missions. Don’t miss this upcoming webinar which covers data manipulation, meshing strategy and configuration models.
Using Ansys Twin Builder and Fluent, Skydweller predicts their battery’s thermal behavior over various day missions. Twin Builder calculates the heat dissipation emitted by the battery with actual mission data.
The purpose of mission data is to get the current and voltage from the previous mission and input it into an equivalent battery model. The model is generated from HPPC data, a standard test done on battery cells to approximate their behavior. Next, the heat dissipation is integrated into Fluent. In Fluent, we find a model of the battery’s installation as it would be in the aircraft, with the cooling and insulation method.
This webinar will explain and describe in detail the methodology of each simulation step. From the data manipulation of the HPPC results, the Twin Builder modeling, the meshing strategy, the configuration of the Fluent model, and how to use experimental data to adapt a Fluent model. At the end of the webinar, the listener will have a great idea of doing complex battery modeling using Twin Builder and Fluent.
Skydweller sizes the battery’s insulation and verifies its viability over several days of the mission.
