From the 1 of 3 linked papers with an AI index.
3 papers
Horizon Selection in Physics-Enhanced Neural ODEs: Theoretical Insights and Flux Linkage Application
Giulio Montecchio, Benjamin Hartmann, Sven Reimann +3
The paper investigates how the integration horizon used during training influences physics-enhanced Neural ODEs, proposing longer horizons to reduce bias in physical parameter esti…
Joint identification of permanent magnet synchronous machine and inverter
Giulio Montecchio, Sven Reimann, Benjamin Hartmann +3
In electric drive modeling, identifying the magnetic flux maps is essential for predicting accurately the torque, parameterizing a controller for tracking the torque or creating a…
Adaptive Time-Domain Harmonic Control for Noise-Vibration-Harshness Reduction of Electric Drives
Klaus Herburger, Fabian Jakob, David Gänzle +2
Reducing Noise, Vibration, and Harshness (NVH) in electric drives is crucial for applications such as electric vehicle drivetrains and heat-pump compressors, where strict NVH requi…