Modeling Electric Machines

2020 ◽  
pp. 193-235
Author(s):  
Rubén Molina Llorente
Keyword(s):  
Electric Machines

Preload dependent material properties of lamination stacks for electric machines

2019 ◽  
Vol 61 (12) ◽  
pp. 1192-1196
Author(s):  
Daniel Loos ◽  
Endre Barti ◽  
Rainer Wagener ◽  
Tobias Melz
Keyword(s):  
Material Properties ◽  
Electric Machines

Genetic algorithm application for optimization of geometry of synchronous electric motor with permanent magnets by criterion of electromagnetic torque

2019 ◽  
pp. 56-62
Author(s):  
I. N. Belezyakov ◽  
K. G. Arakancev
Keyword(s):  
Genetic Algorithm ◽  
Electric Motor ◽  
Permanent Magnets ◽  
Evolutionary Optimization ◽  
Electric Machines ◽  
Geometric Parameters ◽  
Geometrical Parameters ◽  
Electromagnetic Torque ◽  
Automatic Control Systems ◽  
Optimization Of Geometry

At present time there is a need to develop a methodology for electric motors design which will ensure the optimality of their geometrical parameters according to one or a set of criterias. With the growth of computer calculating power it becomes possible to develop methods based on numerical methods for electric machines computing. The article describes method of a singlecriterion evolutionary optimization of synchronous electric machines with permanent magnets taking into account the given restrictions on the overall dimensions and characteristics of structural materials. The described approach is based on applying of a genetic algorithm for carrying out evolutionary optimization of geometric parameters of a given configuration of electric motor. Optimization criteria may be different, but in automatic control systems high requirements are imposed to electromagnetic torque electric machine produces. During genetic algorithm work it optimizes given geometric parameters of the electric motor according to the criterion of its torque value, which is being calculated using finite element method.

scholarly journals Evaluation of Bearing Voltage Reduction in Electric Machines by Using Insulated Shaft and Bearings

2020 ◽  
Author(s):  
Peng Han ◽  
Greg Heins ◽  
Dean Patterson ◽  
Mark Thiele ◽  
Dan M. Ionel
Keyword(s):  
Electric Machines

Electric Machines Calculation for a Hybrid Propulsion System of Commuter Airliner

2020 ◽  
Author(s):  
Anton Varyukhin ◽  
Viktor Zakharchenko ◽  
Mikhail Gordin ◽  
Flyur Ismagilov ◽  
Vyacheslav Vavilov ◽  
...  
Keyword(s):  
Electric Machines ◽  
Propulsion System ◽  
Hybrid Propulsion

Optimization of Rotor Salient Pole Reluctance for Typical Field Modulated Electric Machines

2020 ◽  
pp. 1-1
Author(s):  
Honghui Wen ◽  
Ming Cheng ◽  
Jiawei Zhou ◽  
Gan Zhang ◽  
Xiaofeng Zhu
Keyword(s):  
Electric Machines ◽  
Salient Pole

Maiden application of flower pollination algorithm based tilt integral derivative controller with filter for control of electric machines

2021 ◽  
Author(s):  
Tirumalasetty Chiranjeevi ◽  
N.Ram Babu ◽  
S.K. Pandey ◽  
Raj Kumar Patel ◽  
Umesh Kumar Gupta ◽  
...  
Keyword(s):  
Electric Machines ◽  
Flower Pollination Algorithm ◽  
Flower Pollination

scholarly journals Improved Immune Algorithm Combined with Steepest Descent Method for Optimal Design of IPMSM for FCEV Traction Motor

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3904
Author(s):  
Ji-Chang Son ◽  
Myung-Ki Baek ◽  
Sang-Hun Park ◽  
Dong-Kuk Lim
Keyword(s):  
Optimal Design ◽  
Permanent Magnet Synchronous Motor ◽  
Torque Ripple ◽  
Descent Method ◽  
Immune Algorithm ◽  
Electric Machines ◽  
Steepest Descent Method ◽  
Superior Performance ◽  
Element Analysis ◽  
Traction Motor

In this paper, an improved immune algorithm (IIA) was proposed for the torque ripple reduction optimal design of an interior permanent magnet synchronous motor (IPMSM) for a fuel cell electric vehicle (FCEV) traction motor. When designing electric machines, both global and local solutions of optimal designs are required as design result should be compared in various aspects, including torque, torque ripple, and cogging torque. To lessen the computational burden of optimization using finite element analysis, the IIA proposes a method to efficiently adjust the generation of additional samples. The superior performance of the IIA was verified through the comparison of optimization results with conventional optimization methods in three mathematical test functions. The optimal design of an IPMSM using the IIA was conducted to verify the applicability in the design of practical electric machines.

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