Abstract: In one embodiment, the method includes i) obtaining target data specifying desired operating parameters of a switched reluctance motor, ii) obtaining data indicative of a value of a measured drive current for each of the phase outputs of an associated inverter, iii) converting the measured drive current values from a stationary reference frame into reference current values in a rotating reference frame, iv) generating, based on the reference current values and the target data and the set of inductance values, updated reference voltage values in the rotating reference frame, v) converting the updated reference voltage values from the rotating reference frame into updated voltage values in the stationary reference frame, and vi) controlling the inverter to set the voltages of the phase outputs to the updated voltage values.

Abstract: A computer-implemented method for simulating a magnetic field within an electromagnetic device for use in evaluating the electromagnetic device. The method comprises: obtaining a digital design of the electromagnetic device, the digital design comprising geometric data representing a geometry of the electromagnetic device and material data representing material properties of the electromagnetic device; obtaining magnetic field data representing a magnetic field pattern that would be generated through operation of the digital design of the electromagnetic device; and converting the magnetic field data into virtual current data, wherein the virtual current data represents the magnetic field pattern as one or more virtual currents that would create an estimated magnetic field pattern that substantially matches the magnetic field pattern.

Abstract: A computer-implemented method for simulating a magnetic field within an electromagnetic device for use in evaluating the electromagnetic device. The method comprises: obtaining a digital design of the electromagnetic device, the digital design comprising geometric data representing a geometry of the electromagnetic device and material data representing material properties of the electromagnetic device; obtaining magnetic field data representing a magnetic field pattern that would be generated through operation of the digital design of the electromagnetic device; and converting the magnetic field data into virtual current data, wherein the virtual current data represents the magnetic field pattern as one or more virtual currents that would create an estimated magnetic field pattern that substantially matches the magnetic field pattern.

Abstract: A switched reluctance electrical motor comprises a rotor having a substantially circular cylindrical envelope with a diameter in a range of 50 mm to 300 mm and a length in the range of 20 mm to 250 mm. The rotor comprises a plurality of radially extending rotor teeth. A switched reluctance electrical motor further comprises a stator surrounding the rotor and comprising a plurality of stator poles. The rotor teeth are circumferentially-spaced apart from each other to define slots between adjacent teeth that, expressed in normalised angular and radial coordinates, have a cross-sectional profile transverse to an axis of rotation of the rotor, lying within a well-defined polygonal region.

Abstract: A battery power system for powering at least one electric motor. The system comprises a main battery and an intermediate storage device electrically coupled to the main battery such that the intermediate storage device can be charged by the main battery, and the intermediate storage device being configured to supply power to the electric motor. The intermediate storage device is constructed and configured to accept and deliver charge at a higher rate than the main battery whilst having a lower energy storage capacity than the main battery.

Abstract: A computer-implemented method of simulating operation of an electric drive unit to predict one or more performance parameters of the electric drive unit is provided. The electric drive unit comprises at least an electric motor. The method comprises obtaining parameters defining physical properties of the electric motor, obtaining parameters defining drive currents for driving the electric motor, processing the obtained parameters using a machine learning module trained a priori to predict a spatially varying electromagnetic and/or mechanical and/or thermal profile within the electric motor during operation, and providing as output a predicted profile for the electric motor, and using the predicted profile to compute the one or more performance parameters of the electric drive unit.

Abstract: A computer-implemented method for simulating a magnetic field within an electromagnetic device for use in evaluating the electromagnetic device. The method comprises: obtaining a digital design of the electromagnetic device, the digital design comprising geometric data representing a geometry of the electromagnetic device and material data representing material properties of the electromagnetic device; obtaining magnetic field data representing a magnetic field pattern that would be generated through operation of the digital design of the electromagnetic device; and converting the magnetic field data into virtual current data, wherein the virtual current data represents the magnetic field pattern as one or more virtual currents that would create an estimated magnetic field pattern that substantially matches the magnetic field pattern.

Abstract: A battery power system for powering at least one electric motor. The system comprises a main battery and an intermediate storage device electrically coupled to the main battery such that the intermediate storage device can be charged by the main battery, and the intermediate storage device being configured to supply power to the electric motor. The intermediate storage device is constructed and configured to accept and deliver charge at a higher rate than the main battery whilst having a lower energy storage capacity than the main battery.

Abstract: A computer-implemented method of simulating operation of an electric drive unit to predict one or more performance parameters of the electric drive unit is provided. The electric drive unit includes at least an electric motor. The method includes obtaining parameters defining physical properties of the electric motor, obtaining parameters defining drive currents for driving the electric motor, processing the obtained parameters using a machine learning module trained a priori to predict a spatially varying electromagnetic and/or mechanical and/or thermal profile within the electric motor during operation, and providing as output a predicted profile for the electric motor, and using the predicted profile to compute the one or more performance parameters of the electric drive unit.

Abstract: A computer-implemented method for simulating a magnetic field within an electromagnetic device for use in evaluating the electromagnetic device. The method comprises: obtaining a digital design of the electromagnetic device, the digital design comprising geometric data representing a geometry of the electromagnetic device and material data representing material properties of the electromagnetic device; obtaining magnetic field data representing a magnetic field pattern that would be generated through operation of the digital design of the electromagnetic device; and converting the magnetic field data into virtual current data, wherein the virtual current data represents the magnetic field pattern as one or more virtual currents that would create an estimated magnetic field pattern that substantially matches the magnetic field pattern.

Abstract: A computer-implemented method for simulating a magnetic field within an electromagnetic device for use in evaluating the electromagnetic device. The method comprises: obtaining a digital design of the electromagnetic device, the digital design comprising geometric data representing a geometry of the electromagnetic device and material data representing material properties of the electromagnetic device; obtaining magnetic field data representing a magnetic field pattern that would be generated through operation of the digital design of the electromagnetic device; and converting the magnetic field data into virtual current data, wherein the virtual current data represents the magnetic field pattern as one or more virtual currents that would create an estimated magnetic field pattern that substantially matches the magnetic field pattern.