Abstract
Many technologies for cutting the magnetic laminations, from which electric motors cores are built, change material properties, among which are magnetizability and iron loss, thus affecting the motor parameters such as motor efficiency. This problem is particularly important for low-power motors, in which the dimensions of the magnetic circuit elements are relatively small. The correct estimation of the motor efficiency is important as early as at its design stage. This is possible when the correct material characteristics are used. This knowledge and analytical model enabling fast estimation of material properties (depending on the actual size) are necessary for engineers, who design electrical motors by analyzing many solution variants in a short time. The author proposes an analytical model of changing material properties, implemented in SPICE software. Its effectiveness was compared with measurement results while being a competitive solution in relation to other analytical models. The proposed SPICE model allowed evaluating material properties for lamination of any width. In the end, the knowledge concerning the material properties was used to calculate the iron loss in the stator of the SyRM motor, showing the need to use the material characteristics calculated for the specified width of the core piece.
Highlights
IntroductionThe problem of accurate determination of the electric motor efficiency is associated with the search for the most correct and precise approaches to determine all the loss components
Synchronous reluctance motor (SyRM).inThe analyzed motorimplemented belongs to a in the environment, was effectively used during calculations executed for amotor three-phase group of mass-produced, low-power, line-start, synchronous reluctance motors
This paper presented an analytical model, implemented in ICAP/4, that described changes in the magnetic permeability and specific iron loss of the material subjected to the punching process
Summary
The problem of accurate determination of the electric motor efficiency is associated with the search for the most correct and precise approaches to determine all the loss components As it is known, the iron losses are the most difficult to estimate, including both the iron loss, directly related to the main sinusoidal magnetic flux, and the additional losses, e.g., surface and pulsating losses, typically related at high-frequency flux pulsations. The need for a quick analysis of many calculation variants, solution optimizations, and coefficients to match the results of measurements and calculations inclines many researchers to use professional software, including blocks (collected from libraries) with vast configuration possibilities, both as to the area of application and functions.
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