Surrogate · Electric Vehicles
Gaussian Process Regression for Electric Vehicles
Apply the gaussian process regression to real electric vehicles problems — in the browser, with AI assistance.
GPs model outputs as draws from a distribution over functions, giving both predictions and calibrated uncertainty for expensive simulations.
In electric vehicles, teams face challenges like battery thermal runaway, range efficiency, motor control. The gaussian process regression 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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