LEADER 04724nam 2200985z- 450 001 9910557761203321 005 20231214132828.0 035 $a(CKB)5400000000045750 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/68648 035 $a(EXLCZ)995400000000045750 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEnergy Efficiency in Electric Devices, Machines and Drives 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 electronic resource (218 p.) 311 $a3-03936-356-5 311 $a3-03936-357-3 330 $aThis 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. 606 $aHistory of engineering & technology$2bicssc 610 $ainterior permanent magnet synchronous motor 610 $atorque ripple 610 $acogging torque 610 $aelectric vehicle 610 $anotch 610 $amathematical model 610 $aHalbach Array 610 $asurface permanent magnet 610 $amagnetic vector potential 610 $atorque 610 $ain-wheel electric vehicle 610 $aindependent 4-wheel drive 610 $atorque distribution 610 $afuzzy control 610 $atraction control 610 $aactive yawrate control 610 $aenergy efficiency 610 $aindustry 610 $awater circuits 610 $aOpenModelica 610 $aoptimisation 610 $ainduction motor 610 $aspeed estimation 610 $amodel reference adaptive system 610 $akalman filter 610 $aluenberger observer 610 $aflux switching machine 610 $amodular rotor 610 $anon-overlap winding 610 $amagnetic flux analysis 610 $airon losses 610 $acopper loss 610 $astress analysis 610 $afinite element method 610 $amagnetic loss 610 $amaximum efficiency (ME) characteristic 610 $amaximum torque per ampere (MTPA) characteristic 610 $amodeling 610 $apermanent magnet synchronous machine (PMSM) 610 $asensorless control 610 $asynchronous machines 610 $adynamic models 610 $anonlinear magnetics 610 $aparameter estimation 610 $aDC-DC converter 610 $aresistance spot welding 610 $atransformer 610 $aefficiency 610 $adynamic power loss 610 $adesign 610 $ainduction machines 610 $anonlinear control 610 $atorque/speed control 615 7$aHistory of engineering & technology 700 $a?tumberger$b Gorazd$4edt$01324798 702 $aPolaj?er$b Bo?tjan$4edt 702 $a?tumberger$b Gorazd$4oth 702 $aPolaj?er$b Bo?tjan$4oth 906 $aBOOK 912 $a9910557761203321 996 $aEnergy Efficiency in Electric Devices, Machines and Drives$93036316 997 $aUNINA