Machine learning and artificial neural networks have shown to be applicable in modeling
and simulation of complex physical phenomena as well as creating surrogate models …

Electric machine design optimization is a popular topic in electrical engineering. Thanks to
major accomplishments in Mathematics and Computer Science, nowadays the investigation …

A high-fidelity two-axis model of an interior permanent-magnet synchronous machine (IPM)
presents a convenient way for the characterization and validation of motor dynamic …

In this article, a multiphysics simulation workflow based on the use of reduced-order models
to decrease the computation time is presented. Using finite-element (FE) precomputed flux …

This paper presents a method to virtually evaluate the performances and energy
consumption of a battery electric vehicle (BEV) powertrain, whose propulsion is assured by …

This paper explores different high-fidelity, system-level models for permanent magnet
synchronous machines. The main attributes examined are electromagnetic torque and …

This paper presents an extended predictive trajectory control scheme combined with an
inner torque ripple minimization considering the current-, flux-linkage-, and voltage-planes …

In-depth evaluations of an electric drive's behavior typically result from co-simulation,
combining models of motor, power electronics and control software. This approach can be …

Small electric drives with power from a few hundred watts up to one kilo watt, developed for
car actuators, drivetrains, electric bikes or scooters, are nowadays often realized as …

This paper presents an extended dq0-model for small delta-connected Permanent Magnet
Synchronous Machines (PMSM), the design of a prototype and the parameterization of the …