Fluid · Electric Vehicles
2D Lattice Boltzmann Method (LBM) for Electric Vehicles
Apply the 2d lattice boltzmann method (lbm) to real electric vehicles problems — in the browser, with AI assistance.
This is the 2d variant of the Lattice Boltzmann Method (LBM). LBM evolves discrete velocity distributions with a collision–streaming update, naturally parallel and well-suited to complex boundaries.
In electric vehicles, teams face challenges like battery thermal runaway, range efficiency, motor control. The 2d lattice boltzmann method (lbm) 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
Upgrade your workspace
Full Multi-Physics Bundle — $49
Every domain node pack plus a large compute allotment.
Recommended products
Quick-Sim Credit ×5
$4Five cloud simulation runs for quick iteration on the go.
Physics Node Unlock
$3Unlock a single premium physics node for your project library.
3D Model → Mesh Auto-Prep
$11Import a CAD/3D model and auto-generate a simulation-ready mesh.
Compute Mega Pack
$50Best-value bulk compute: 6,000 Compute Tokens.
Priority Support Pass
$1030 days of priority support responses.
Compute Usage Analytics Report
$3A breakdown of where your compute tokens are going.