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This Special Issue deals with improvements in the energy efficiency of electric devices, machines, and drives, which are achieved through improvements in the design, modelling, control, and operation of the system. Properly sized and placed coils of a welding transformer can reduce the required iron core size and improve the efficiency of the welding system operation. New structures of the single-phase field excited flux switching machine improve its performance in terms of torque, while having higher back-EMF and unbalanced electromagnetic forces. A properly designed rotor notch reduces the torque ripple and cogging torque of interior permanent magnet motors for the drive platform of electric vehicles, resulting in lower vibrations and noise. In the field of modelling, the torque estimation of a Halbach array surface permanent magnet motor with a non-overlapping winding layout was improved by introducing an analytical two-dimensional subdomain model. A general method for determining the magnetically nonlinear two-axis dynamic models of rotary and linear synchronous reluctance machines and synchronous permanent magnet machines is introduced that considers the effects of slotting, mutual interaction between the slots and permanent magnets, saturation, cross saturation, and end effects. Advanced modern control solutions, such as neural network-based model reference adaptive control, fuzzy control, senseless control, torque/speed tracking control derived from the 3D non-holonomic integrator, including drift terms, maximum torque per ampere, and maximum efficiency characteristics, are applied to improve drive performance and overall system operation.

History of engineering & technology --- interior permanent magnet synchronous motor --- torque ripple --- cogging torque --- electric vehicle --- notch --- mathematical model --- Halbach Array --- surface permanent magnet --- magnetic vector potential --- torque --- in-wheel electric vehicle --- independent 4-wheel drive --- torque distribution --- fuzzy control --- traction control --- active yawrate control --- energy efficiency --- industry --- water circuits --- OpenModelica --- optimisation --- induction motor --- speed estimation --- model reference adaptive system --- kalman filter --- luenberger observer --- flux switching machine --- modular rotor --- non-overlap winding --- magnetic flux analysis --- iron losses --- copper loss --- stress analysis --- finite element method --- magnetic loss --- maximum efficiency (ME) characteristic --- maximum torque per ampere (MTPA) characteristic --- modeling --- permanent magnet synchronous machine (PMSM) --- sensorless control --- synchronous machines --- dynamic models --- nonlinear magnetics --- parameter estimation --- DC-DC converter --- resistance spot welding --- transformer --- efficiency --- dynamic power loss --- design --- induction machines --- nonlinear control --- torque/speed control

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This Special Issue deals with improvements in the energy efficiency of electric devices, machines, and drives, which are achieved through improvements in the design, modelling, control, and operation of the system. Properly sized and placed coils of a welding transformer can reduce the required iron core size and improve the efficiency of the welding system operation. New structures of the single-phase field excited flux switching machine improve its performance in terms of torque, while having higher back-EMF and unbalanced electromagnetic forces. A properly designed rotor notch reduces the torque ripple and cogging torque of interior permanent magnet motors for the drive platform of electric vehicles, resulting in lower vibrations and noise. In the field of modelling, the torque estimation of a Halbach array surface permanent magnet motor with a non-overlapping winding layout was improved by introducing an analytical two-dimensional subdomain model. A general method for determining the magnetically nonlinear two-axis dynamic models of rotary and linear synchronous reluctance machines and synchronous permanent magnet machines is introduced that considers the effects of slotting, mutual interaction between the slots and permanent magnets, saturation, cross saturation, and end effects. Advanced modern control solutions, such as neural network-based model reference adaptive control, fuzzy control, senseless control, torque/speed tracking control derived from the 3D non-holonomic integrator, including drift terms, maximum torque per ampere, and maximum efficiency characteristics, are applied to improve drive performance and overall system operation.

History of engineering & technology --- interior permanent magnet synchronous motor --- torque ripple --- cogging torque --- electric vehicle --- notch --- mathematical model --- Halbach Array --- surface permanent magnet --- magnetic vector potential --- torque --- in-wheel electric vehicle --- independent 4-wheel drive --- torque distribution --- fuzzy control --- traction control --- active yawrate control --- energy efficiency --- industry --- water circuits --- OpenModelica --- optimisation --- induction motor --- speed estimation --- model reference adaptive system --- kalman filter --- luenberger observer --- flux switching machine --- modular rotor --- non-overlap winding --- magnetic flux analysis --- iron losses --- copper loss --- stress analysis --- finite element method --- magnetic loss --- maximum efficiency (ME) characteristic --- maximum torque per ampere (MTPA) characteristic --- modeling --- permanent magnet synchronous machine (PMSM) --- sensorless control --- synchronous machines --- dynamic models --- nonlinear magnetics --- parameter estimation --- DC-DC converter --- resistance spot welding --- transformer --- efficiency --- dynamic power loss --- design --- induction machines --- nonlinear control --- torque/speed control