Energy Efficiency in Electric Devices, Machines and Drives

• Format: eBook
• Language: English
• Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2020
• Subjects: History of engineering and technology; active yawrate control; cogging torque; copper loss; DC-DC converter; design; dynamic models; dynamic power loss; efficiency; electric vehicle; energy efficiency; finite element method; flux switching machine; fuzzy control; Halbach Array; in-wheel electric vehicle; independent 4-wheel drive; induction machines; induction motor; industry; interior permanent magnet synchronous motor; iron losses; kalman filter; luenberger observer; magnetic flux analysis; magnetic loss; magnetic vector potential; mathematical model; maximum efficiency (ME) characteristic; maximum torque per ampere (MTPA) characteristic; model reference adaptive system; modeling; modular rotor; non-overlap winding; nonlinear control; nonlinear magnetics; notch; OpenModelica; optimisation; parameter estimation; permanent magnet synchronous machine (PMSM); resistance spot welding; sensorless control; speed estimation; stress analysis; surface permanent magnet; synchronous machines; torque; torque distribution; torque ripple; torque/speed control; traction control; transformer; water circuits
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication

 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.