Fluid · Electric Vehicles
GPU-Accelerated Turbulence Modeling (RANS/LES) for Electric Vehicles
Apply the gpu-accelerated turbulence modeling (rans/les) to real electric vehicles problems — in the browser, with AI assistance.
This is the gpu-accelerated variant of the Turbulence Modeling (RANS/LES). RANS averages the flow and models turbulence, while LES resolves large eddies and models the small ones — trading cost for fidelity.
In electric vehicles, teams face challenges like battery thermal runaway, range efficiency, motor control. The gpu-accelerated turbulence modeling (rans/les) directly supports use cases such as battery pack cooling, motor-control tuning, aerodynamic range, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.
Typical Electric Vehicles use cases
- Battery pack cooling
- Motor-control tuning
- Aerodynamic range
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