The full document
The problem
Critical temperatures are inside the motor (windings, magnets, stator), but sensors can only measure a few accessible locations. This creates uncertainty and forces conservative derating.
The solution
Twin Fabrica builds a thermal digital twin from physics models, test-bench data, and optional AI corrections to estimate internal temperatures and hotspots in real time.
The value
Once you know the true internal thermal state, you can reduce safety margins, optimize torque delivery, avoid overheating, and use the motor closer to its actual limits.
The differentiator
It's not just a simulation tool. The models are reduced, calibrated, and exported as embedded software that can run in real time on a controller.
The proof
The deck highlights validation results showing about 1°C average temperature estimation error and a very small embedded footprint, demonstrating that the approach is accurate enough for production use.