battery-hub

FELA PDE

Lowdown Labs

Trained on synthetic data

FELA PDE

Fourier neural operator that predicts the steady-state 2D temperature field of a battery pack from its layout, heat load and cooling, standing in for a finite-volume solve on a plain CPU.

Model details

Architecture
Fourier neural operator (892,545 parameters)
Input
8-channel 96×96 field (pack mask, heat source, conductivity, convection, ambient temperature, coordinates, domain size)
Output
96×96 temperature field (°C)
Training data
Synthetic
Trained on
Self-generated battery thermal simulations
Uncertainty
Not reported
Physics constraints
None
License
other

Limitations

  • A screening and design aid, not a certified thermal safety tool; validate against a full solver before relying on it.
  • Trained and evaluated only on its own generated thermal data.